WO1997046851A2

WO1997046851A2 - Method for calibrating a flow measuring system

Info

Publication number: WO1997046851A2
Application number: PCT/US1997/008193
Authority: WO
Inventors: Eugene Miles Shanahan; John Everett Garnett; Robert James Gray; Gabriel Dragnea
Original assignee: Dieterich Technology Holding Corp.
Priority date: 1996-05-17
Filing date: 1997-05-15
Publication date: 1997-12-11
Also published as: EP0807804A2; BR9709309B1; ZA974264B; EP0807804A3; CA2247407C; CA2247407A1; JP3583787B2; BR9709309A; CN1217055A; WO1997046851A3; AU722122B2; RU2209395C2; AR007161A1; AU3367997A; TW337551B; JP2002515119A; US5710370A; CN1128989C

Abstract

In a flow measurement system (11) comprising a primary flow sensor (10) and a secondary electronic conversion apparatus for converting high and low fluid pressure signals from the primary flow sensor to an electronic signal output representative of fluid flow, a process for calibrating the system as an integral unit, comprising the steps of applying a plurality of known reference fluid flow rates to the primary flow sensor over the system's operative range of flow conditions, sensing the electrical output of the secondary electronic conversion apparatus for each of the said plurality of reference fluid flow rates, establishing a correction factor for each of said values of electrical output which will tend to linearize the relationship between fluid flow rate and the electrical output of the measuring system, and storing the correction factors in non-volatile memory in a microprocessor which is part of the secondary electronic conversion apparatus.

Description

METHOD FOR CALIBRATING A DIFFERENTIAL PRESSURE FLUID FLOW MEASURING SYSTEM

The present invention relates to differential pressure based fluid flow

measurement, including rate, volume and mass, and more specifically to a

method for improving the accuracy of measurement by calibrating the system

as a whole, over its operating range, with known fluid flow references.

BACKGROUND OF THE INVENTION

Differential pressure based fluid flow meters, or measurement systems,

for fluid filling a confined channel, such as a pipe, typically include two basic

elements. A system comprises a fluid immersed sensor, as the primary element

of the system, and a secondary element comprising mechanical and electronic

means to convert the sensed fluid dynamics into a format usable for obtaining

needed information, such as rate of flow, volume of flow and mass of flowing

fluid.

Primary sensors which detect differential fluid pressure in the flow

include such specific types as averaging pitot tubes, orifice plates, flow nozzles

and venturi meters.

The secondary portion of the system may include a differential pressure

(DP) transducer, a static pressure transducer, a fluid temperature transducer and

a flow computer. The raw electrical output of these transducers is typically

processed into a signal which is transmitted for subsequent electronic processing in additional apparatus, such as a flow computer. The combination

of the transducer and the subsequent electronic means, such as A/D converters,

amplifiers, and a central processing unit is often referred to in the trade as a DP

transmitter and that term will also be used in this specification. Often the

primary sensor and the secondary, or DP transmitter, are physically widely

separated and are commonly treated as separate instrumentation entities,

meaning that the two elements are calibrated separately and present their own

individual accuracy standards.

Preliminary to an understanding of the current state of the art of fluid

flow measurement, and the accuracy attainable with available systems, vis-a-vis

the present invention, it is useful to review the alternative methods of rating the

accuracy of measurement devices.

There are two methods of expressing accuracy. The first is usually

expressed as "percent of reading" or "percent of value." This method identifies

the error at a specific reading. In measurement devices the use of this method

implies that the device produces an error statement based on its readings over

the entire operating range. The second method is expressed as the "percent of

full scale" (percent of fs) accuracy standard. This method relates the error in a

device when it is measuring a quantity that represents 100% of the output. The

equivalent "percent of value" error figure for a device calibrated with a

"percent of full scale" accuracy statement is calculated using the following

equation: VoFullScaleError % Reading Error = — — — - X 100 equation # 1

⁵ %oβcale

The differences between these two accuracy ranking methods are not

obvious until they are plotted. Figure 1 shows the results of each of the two

methods for expressing measurement error. Curve "A" shows a 1% of reading

error while curve "B" shows a 1% of full scale error statement. Both are

plotted over a 10: 1 turndown. In the example shown, a "±1% of full scale"

error is equivalent to a "±5% of value" error at a 20% of full range level (5: 1

turndown). Flow turndown is the ratio of the highest flow rate expected to be

measured by the system to the lowest flow rate expected to be measured, at

some stated accuracy. This quantity is typically expressed on one line with a

colon, such as 10: 1 for a turndown ratio of 10. Most flow measurement devices

have a minimum flow and a maximum flow that can be measured within stated

accuracy limits. A typical flow rate falls between these values.

In differential pressure measurement devices, flow rate Q is derived in

accordance with the formula Q = C yfOP , where C is a constant and DP is the

difference between the sensed high and low fluid pressures. Different types of

differential pressure sensors have their own benefits and drawbacks, but all of

them suffer from an inherent inability to provide fluid pressure outputs which

are absolutely related to a fluid flow rate in accordance with the stated

jnathematical formula over a wide operating range. The induced errors and

ultimate performance characteristics of these differential pressure flow sensors

are defined by and vary with the installation parameters of each device, such as the shape and dimension of the sensor, location and number of its plenum

apertures and the sensor's position inside the fluid carrying pipe. Figure 3 is a

diagrammatic curve illustrating in solid line the mathematically ideal

relationship between fluid flow Q and differential pressure DP. The dotted line

curve illustrates the same relationship but with the inherent errors of a primary

sensing element taken into consideration. An averaging pitot tube type of

primary sensor or other DP sensor can be made to exhibit a close similarity to

the stated mathematical ideal over a wide flow range, but even those types of

sensors cannot offer much better than ±1% of reading over a 10: 1 turndown.

In addition to the error introduced by the primary, the components of the

secondary of a flow measurement system are each responsible for introducing

error into the system. Although error is contributed by all of the secondary

components, a large portion of it is induced by the non-linearity of the

transducers. Linearity, in this context, is the ability of the components to

produce, or closely approximate, a linear relationship between the actual

physical input and the DP transmitter output. Other components of the

secondary also contribute to non-linearity, resulting in secondary error. The

solid line curve of Figure 4 illustrates ideal linearity of the DP transmitter,

according to the formula: m.a. = B x DP, where m.a. is the secondary output in

milliamperes, B is a constant and DP is the differential fluid pressure. The

dotted line curve of Figure 4 diagrammatically illustrates the non-linear

performance of the secondary of the flow meter (without reference to the static pressure or temperature of the fluid) according to the formula: m.a. = B x DP +

E_S(DP) where E_s is the % error in differential pressure due to the secondary.

While there may be several different representations of linearity, the term is

assumed to represent the independent linearity of the secondary of the flow

meter. A straight line is used in Figure 5 to minimize the maximum deviation

of the actual characteristic. The graph of this Figure has been normalized to

show linearity as a percent of reading error deviation from the ideal zero error

curve, which would be a straight horizontal line. Current flow measurement

practice recognizes the non-linearity of the secondary and attempts to

compensate for it by "characterizing" the DP transmitter. This is most often

done by employing dead weights, or some other form of calibrated DP source,

to simulate various pressures on the transducer diaphragm and then modifying

the electrical output to correct for the observed discrepancies. In this type of

process however, neither actual fluid flow nor the aberrant characteristics of the

primary sensor are given consideration in the linearizing attempt.

Accordingly, when independently calibrated primary and secondary

elements are combined, the resulting measurement system accuracy must be

determined by combining the error of the primary and secondary elements over

the selected range of operation in accordance with the "square root of the sum

of the squares" rule:

% System Error = JEpl + Es equation Wl

where: Ep = % Error in flow due to the primary; and

Eg = % Error in flow due to the secondary, i.e.

where :EDP = Error due to the differential pressure transducer, Ep = Error due to the static pressure transducer, and y = Error due to the temperature transducer.

The primary element's error contributes directly to the error in flow,

whereas the secondary device contributes to error in the differential pressure

(DP), which is the square of the error in flow. The percent error in DP will

depend upon the percent scale, as shown in Figure 1. For a DP transmitter or

meter, the contribution to the secondary's flow calculation error is:

% EDP - 1 X 100 equation #3

where: %Efs = the % of full scale error (accuracy) of the DP transmitter;

%DP = the % of scale at which the DP transmitter is operating.

Ep and E are similarly calculated.

To determine the error in flow at the minimum scale for the desired flow

turndown, equation 3 must be substituted into equation 2. To better illustrate

the point, reference is made to Figure 2 where the reading flow system accuracy

is plotted as a function of turndown for different types of flow meters. An

example of a flow meter with a % of reading accuracy, where there is no

secondary element contributing to the system error, is shown in solid lines. The

error of an orifice plate or other type of DP sensor working with a DP

transmitter is calculated using equations 2 and 3, above, and is plotted in the

graph of Figure 2 with dotted lines. In this exemplary curve the orifice plate

C sensor itself contributes a ±1% of reading error (Ep) and the secondary element

has a ±0.1 % full scale (fs) error (EJJ).

After deriving the dotted line curve of Figure 2 , the problem of the prior

art custom of separately calibrating the primary and secondary flow meter

elements is apparent. The errors of the separate elements are additive within

the flow system, creating a combination where the total error can never be less

than the least accurate component of the system.

It is therefore the primary object of the invention to provide a synergistic

method of obtaining higher measurement system accuracy by calibrating the

assembled combination of primary and secondary system elements with actual

reference fluid flow.

A further object of the invention is to provide a method of measurement

system calibration that results in unexpectedly better accuracy than that

obtained by the square root of the sum of the squares of the individually

calibrated system elements.

Another object of the invention is to provide a method for measurement

system calibration which results in a wider flow turndown with higher

accuracy.

Another object of the invention is provide a process for calibrating a

flow measurement system where the flexibility of the secondary element's

linearization potential is advantageously employed to correct for errors in the

? flow primary, as well as to correct for the nonlinearity in the secondary's own

components.

Other and still further objects, features and advantages of the invention

will become apparent upon a reading of the detailed description of a preferred

form of the invention.

The most pertinent known prior art is listed as follows:

Dieterich Standard Annubar® Flow Measurement Systems brochure,

where, on pages 2 and 3 (unnumbered), a flow measurement system of the type

described in this specification is shown, and on page 9, pressure transmitters

and their accuracy are discussed. This measurement system shown does not

contemplate the calibration and linearization method of the present invention.

Dieterich Standard Diamond II Annubar® Flow sensors catalog where,

on page 3 a diagram of a flow measuring system is shown which is similar to

the general system referred to in this specification, but without the linearization

method of the present invention, and on page 7 thereof accuracy of the sensor

primary is discussed.

U.S. Patent No. 5,111,827 to Borje Rantala, disclosing, in a respiratory

sampling device, a microprocessor to adjust a flow rate in accordance with the

composition of a gas, as determined by a gas analyzer. U.S. Patent No 4,836,019 to Floyd W. Hagen, disclosing an air data

sensor having a computer programmed to take various compensation tables

from calibration curves for various sensors. The computer is programmed to

provide an appropriate correction factor to the pressure outputs.

U.S. Patent No. 2,869,367 to D.W. Moore, describing a system utilizing

pressure responsive diaphragms to change electrical resistances in order to

linearize the response characteristic of a system.

THE DRAWINGS

Figure 1 is a graph showing the relationship between "percent of

reading" and "percent of full scale" systems of defining measurement accuracy.

Figure 2 is a graph showing the percent of the reading flow system

accuracy as a function of turndown for two different types of fluid flow meters.

Figure 3 is a diagrammatic curve illustrating in solid line the

mathematically ideal relationship between fluid flow Q and differential

pressure DP. The dotted line illustrates the error of primary flow meter

measurements.

Figure 4 is a graph illustrative of a typical characteristic curve of the

output of a differential pressure transmitter (secondary) as related to differential

pressure. The solid line represents a linear relationship between differential

pressure and electrical system output. The dashed line is exemplary of an

°l actual curve, taking into consideration the error E§ introduced by non-linearity

in the secondary.

Figure 5 is a normalized curve showing system output linearity as a

percent of reading error deviation from an ideal linear curve which would be

represented by the straight horizontal line with zero error.

Figure 6 is a block diagram of a typical DP fluid flow rate measurement

system adapted to use the calibration method of the present invention.

Figure 7 is a diagrammatic block flow diagram of the initial calibration

of the DP transmitter used in a system shown in Figure 6.

Figure 8 is an exemplary table showing percentage values for differential

pressure taken in ten percent increments over the operating range of a DP

transmitter where URL is the Upper Range Limit of the transmitter measured in

inches of water column. The table shows corresponding values of the initial

transmitter characterization, done as shown in Figure 7 (Calib. DP) and the

Corrected DP (DP_corTected)> shown in Figure 6.

Figure 9 is a block flow diagram of the calibration method of the present

invention, with exemplary tables of values taken from indicated points in the

process. Figure 10 is a graph showing the relationship between Dp_measure j_? as a

percentage of the upper range limit (URL) and the normalized DP, or DP', as a

percentage of URL

SUMMARY OF THE INVENTION

The method of the present invention calibrates and characterizes a

differential pressure flow measurement system as a unitary assembly, using an

actual calibrated flow on the primary sensor. By calibrating the system as a

whole, with actual reference fluid flow, instead of relying on the calibration of

the primary and secondary elements individually, an unexpected and synergistic

effect is produced whereby the system accuracy and turndown is better than

that obtained by the square root of the sum of the squares of the individually

calibrated system elements.

DETAILED DESCRIPTION

Before addressing the details of the calibration and characterization

method of the present invention, a brief description will be made of a flow

measurement system in which the calibration method would be used in order to

establish the background of the invention.

Figure 6 is a block diagram of a typical differential pressure dependent

low measurement system of the type to which the calibration method of the

present invention is particularly suited. In this measurement system a pitot tube

type of differential pressure flow sensor 4 functions as the primary element,

/ / however traditional differential pressure devices such as an orifice plate,

venturi tube or flow nozzle can also act as the differential pressure sensing

device. The pitot tube shown is of the type described in U.S. Patent No.

4, 154,100 to James B. Harbaugh et al. and U.S. Patent No. 4,559,836 to Darrel

5 F. Coleman et ai, to which patents reference is made for a more complete

explanation of the DP flow sensor 4 of Figure 6.

The upstream facing side of the pitot tube 4 senses the average sensor

impact pressure of flowing fluid to establish a high pressure value. The

downstream facing side of the pitot tube senses low pressure. The high and low

lϋ fluid pressures are conducted from the plenums 6 and 8 of the flow sensor 4 to

a pressure transducer 10, the first stage of the differential pressure transmitter

1 1. The pressure transducer transforms the respective high and low fluid

pressures issuing out of the primary sensor into an electrical signal whose

character is a function of the differential pressure (DP), that is the difference

15 between the sensed high and low fluid pressures. A typical transducer would

be one equipped with a sensing element comprising a silicon diaphragm, into

the surfaces of which are diffused piezo resistors which comprise an electrical

bridge whose output is analogous to the differential pressure applied to the

transducer. Other types of DP transmitters may be used, such as capacitance or

20 variable reluctance. The electrical analog signal from the pressure transducer

10 is transformed in the A/D converter 12 to a digital signal for input into a

central processing unit (CPU) 16. The CPU 16 performs the square root function as well as other calculations, including the system error corrections

required for producing an accurate final output signal of the flow measurement

system.

After calibration, in accordance with the method of the present

invention, and during operation in actual flow measuring conditions, the

electronic signal, representing the fluid differential pressure, addresses stored

calibration information in an EEPROM memory 18, which information may be

in the form of a look-up table or a polynomial equation 19, to provide collective

corrections to the errors in that signal which occur as a result of non-linearity in

the transmitter 1 1 and aberrations in the operation of the primary sensor 4.

Obtaining the information to be stored in the EEPROM to implement these

corrections is the result of the calibration and characterization process of the

present invention and will subsequently be described in detail. The corrected

DP signal is further processed by the CPU in the step labeled 27 to determine

the square root of the corrected DP. That value is used to determine the flow Q

which is then read out in an appropriate instrument 30 or applied to some

further process or instrumentation.

Having generally described the function of the flow meter in actual

operation, the method of arriving at the calibration coefficients which are stored

in the EEPROM will now be described. As mentioned earlier, both the primary

sensor and the secondary element contribute error and each adversely effects

the accuracy of the system. By providing correction for both of these sources

/J of error at the same time the final flow system signal will have greater accuracy

than it would otherwise have by calibrating the primary and secondary elements

individually.

With respect to an understanding of the error contributed by the primary

sensor, refer again to Figure 3. As for the secondary, the DP transmitter's non¬

linear output is initially linearized against a calibrated DP source, such as a

dead weight tester. See Figure 7 for a diagrammatic illustration of an initial

linearization process of the DP transmitter by itself. At this point it should be

noted that linearization is a form of calibration that is used when the desired

output is a linear function of the input of a device. There are situations,

however when the desired output is exponential or a polynomial function or

some other function of the input. Therefore, to generically define the

calibration method of the present invention, which covers all such functions,

the terms "characterizing" or "characterization" may be used to broadly include

linearization, as well as the others mentioned.

The initial linearization process characterizes the transmitter's output

from the known differential forces supplied by a calibrated DP source. As a

result of this initial characterization, the transmitter output will be referred to as

DPcalibrated. As ^an example of the result of such initial calibration, reference

is made to Figure 8 where DP_caijt>rated ^ΪS shown for increments of differential

pressure values from zero to 100% of the upper range limit (URL) of the

transmitter, as supplied by the calibrated DP source. As part of the initial

H calibration process, these DP_caj values are stored in the non- volatile memory

of the transmitter's CPU. See Figure 6 for a showing of the central processing

unit.

However, in accordance with the objects of the present invention, it is

not enough to linearize the DP transmitter alone. The objects of the invention

are accomplished by characterizing the system DP output against the

transmitter's DP_caiJb_rated output, plus the flow coefficient, K, for the primary

sensor, that is: DP_caι + K — > DP_corrected.

In other words, the initial characterization of the DP transmitter is

further enhanced in the context of the total measurement system by taking into

consideration in the calibration, the K value variation of the primary sensor.

This is accomplished by storing one or more correction coefficients in the

EEPROM memory 18 and using those coefficients to characterize the

measurement system as an integral whole.

Reference to Figure 9 will facilitate an understanding of how the

correction coefficients 21 which are stored in the EEPROM are derived. The

numbers in the tables which are referenced to different portions of the diagram

are exemplary only, for the purpose of better understanding the process. First,

the K values for a chosen different number of flows are determined. The

αumber of fluid flow values chosen for the calibration process is a judgment

call. For purposes of this description, eleven will be chosen, covering the

operating range of the system in ten percent increments, starting with zero. Although reference fluid flows may be obtained through a number of different

techniques, a preferred form involves the use of a highly accurate laboratory

weigh tank, which determines mass flow directly. A number of different

chosen reference flows are directed into a pipe having a primary sensor, such as

the averaging pitot tube 4 of Figure 6. The sensed high and low pressures are

directed to the already initially calibrated DP transmitter, from which a

differential pressure signal DP_measure(j (DP^) is obtained. This signal, along

with an input signal Q, representing a calibrated reference fluid flow from the

weigh tank calculates the actual value K of the primary sensor, K_act, according

to the formula: K_act = — -^ — where A is a coefficient to include pipe

AVDPM diameter, pressure, temperature, etc. From the K_act value for each of the

chosen flow rates an average K (K_avg) is determined by known statistical

analysis methods. In the next step, a nominal DP or DP' is determined

according to the formula x DPVJ = DP . Following determination of

the nominal DP for each of the chosen flow rates, a statistical regression

analysis is used to arrive at one or more correction coefficients for the system

which are then stored in the EEPROM. Preferably, the regression uses the least

squares method to fit a line through a set of points, each point representing a

respective nominal DP value for one of the measured DP values. The

dependent variable in the analysis is the measured DP (DPj j), while the

independent variable is the nominal DP, DP'. In accordance with well known

Ik techniques the regression analysis can be expanded for increased accuracy by

using additional independent variables, DP'², DP'³, DP'⁴ and DP'⁵. The

regression analysis yields the X Variables, shown in the table of Figure 9, with

their exemplary coefficient values. These are the coefficients which need to be

applied to the initial calibration values stored into the transmitter's EEPROM to

determine the new calibration values:

DP_cor = Intercept + X_Varl(DPcal) + Xvar2(DP_Cal)² + • • ■•Xvar5(DP_Cal)⁵

where: X_Varn i^sme regression coefficient for the nth independent

variable;

intercept is the point where the straight line crosses the Y axis.

Depending on the desired accuracy, 2, 3 or 6 independent variables

could be used, instead of the five shown in this example.

When the memory is addressed in actual system operation the final

corrected DP value (DP_cor) is used to determine the correct flow output.

Calibration is carried out over the full flow range of the measurement

system, establishing an accuracy of at least ±0.5% over the full calibrated flow

range. The calculated correction values (corrected DP's) replace the

corrections in the EEPROM which were established during the initial

characterization of the transmitter, as shown in Figure 7. Characterizing the

flow meter with this method of calibration permits the electrical output 27 of

the meter to track the true reference flow, thereby compensating for all errors due to non-linearity, and the flow coefficient of the primary system, as shown

in Figure 10.

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Claims

1. A system calibration process for a differential pressure flow

measuring system for fluid flowing in a confined conduit, where such system

comprises a primary flow sensor and a secondary electro-mechanical

conversion apparatus, including electronic memory, for converting high and

low fluid pressure signals derived from the primary flow sensor to an electric

signal output representative of fluid flow, comprising the steps of;

calibrating the secondary apparatus against known pressures over the

operating range of the apparatus to obtain initial output characterization data

and storing the characterization data in the electronic memory,

sensing the fluid impact pressure and the fluid static low pressure for a

plurality of known reference fluid flows to establish a plurality of high and low

pressure signals over a range of flows,

with the use of the initial output characterization data, transducing the

said high and low pressure signals into measured electrical differential pressure

signals representative of the difference between the sensed high and low

pressure for each of the plurality of reference flow rates,

determining a correction factor for the output of the secondary apparatus

for each of the plurality of reference flow rates as a function of the deviation of

each value of measured differential pressure from the nominal differential

pressure corresponding to each of the said plurality of reference flow rates, modifying the data from the initially characterized secondary apparatus

by overwriting_! in the electronic memory, the initial characterization data with

the calculated correction values.

2. The method of claim 1 wherein the step of determining correction

factors for the output of the secondary apparatus for each of the plurality of

reference flow rates includes the step of determining the nominal differential

pressure output of the system by defining the nominal flow coefficient of the

primary flow sensor.

3. The method of claim 2 and further including the step of determining the

average actual flow coefficient value for the plurality of reference flows.

4. The method of claim 3 wherein the step of determining correction

factors for the output of the secondary apparatus for each of the plurality of

reference flow rates includes the step of correcting the measured differential

pressure output values for the deviation of the actual flow coefficient from the

nominal flow coefficient.

5. The method of claim 4 wherein the step of determining a correction

factor for the output of the secondary apparatus for each of the plurality of

.5 0 reference flow rates includes the step of subjecting the values of the measured

differential pressure and the determined nominal differential pressure values to

a statistical regression analysis to establish the correction factors.

6. For a differential pressure flow measuring system comprising a primary

flow sensor and a secondary electro-mechanical conversion apparatus for

converting high and low fluid pressure signals from the primary flow sensor to

an electronic signal output representative of fluid flow, a system calibration

process, comprising the steps of;

applying a plurality of known reference fluid flow rates to the primary

flow sensor over the system's operative range of flow conditions,

sensing the electrical output of the secondary electronic conversion

apparatus for each of the said plurality of reference fluid flow rates;

establishing a correction factor for each of the plurality of reference flow

rates which will tend to characterize a desired relationship between the fluid

flow rate and the electrical output of the measuring system, and

storing the correction factors in non-volatile memory.

7. The method of claim 6 and further including the step of initially

linearizing the secondary electro-mechanical apparatus against known pressures

ex I over the operating range of the apparatus to obtain data for linearizing the

output of the said electro-mechanical apparatus.

8. The method of claim 7 wherein the step of establishing a correction

factor for each of the plurality of reference flow rates does so as a function of

the deviation of each value of measured differential pressure from the nominal

differential pressure corresponding to each of the plurality of reference flow

rates.

9. The method of claim 8 and further including the step of modifying the

initial linearization data for the secondary electro-mechanical apparatus with

the determined correction factors.

J l

10. A system calibration process for differential pressure flow measurement

in a system having fluid flowing in a confined conduit, and having a primary

flow sensor and a secondary electro-mechanical conversion apparatus,

including electronic memory, for converting high and low fluid pressure signals

derived from the primary flow sensor to an electric signal representative of

fluid flow, comprising the steps of;

sensing the fluid impact pressure and the fluid static low pressure for a

pressure signals over a range of fluid flows,

transducing the said high and low pressure signals into measured

electrical differential pressure signals representative of the difference between

the sensed high and low pressure for each of the plurality of reference flow

rates,

establishing a desired relationship between the reference flow rates and

the electrical output of the secondary apparatus for each of the plurality of the

reference flow rates,

overwriting into the electronic memory the said established desired

relationship of the secondary apparatus.

1 1. The method of claim 10 and further including the step of initially

characterizing the secondary electro-mechanical apparatus against known pressures over the operating range of the apparatus to obtain data for

characterizing the output of the said electro-mechanical apparatus.

12. The method of claim 1 1 wherein the step of establishing a desired

relationship between the reference flow rates and the electrical output of the

secondary apparatus for each of the plurality of the reference flow rates does so

as a function of the deviation of each value of measured differential pressure

from the nominal differential pressure corresponding to each of the plurality of

reference flow rates.

13. The method of claim 12 and further including the step of modifying the

data obtained by initially characterizing the secondary electro-mechanical

apparatus with the determined correction factors.

14. The method of claim 13 and further including the step of storing the

correction factors in non-volatile memory.

15. The method of claim 10 where the step of establishing a desired relationship

includes that of linearization.

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