Fluke 718, 725, 753, 754, 707 Service Guide

...
Eliminating sensor
errors in loop
calibrations
Calibrating a loop is more than just
4 mA to 20 mA
Significant performance improvement can realized by optimizing the loop calibration measurement system to better accommodate the unique char­acteristics of the temperature sensing element. All tempera­ture probes and their sensing elements are unique, with variations in materials, con­struction and usage, or exposure to different environments. This uniqueness continues through­out the useful life of the sensor, in the form of drift due to mechanical shock and vibra­tion or to contamination of the materials when exposed to the material they are measuring. Only through periodic verifica­tion can these differences and changes be accommodated, improving total measurement performance.
Temperature plays an impor­tant role in many industrial and commercial processes. Examples range from sterilization in pharmaceutical companies, metal heat-treatment to ensure optimal strength in aerospace applications, temperature verification in a cold storage warehouse, and atmospheric and oceanographic research. In all temperature measurement applications, the sensor strongly affects the results; unfortu­nately, many measurements are made without optimizing the system to get the best perfor­mance from the temperature transducer.
The majority of process temperature measurements are performed using a sensing ele­ment connected to a transmitter.
Figure 1. Diagram of a typical process temperature measurement system.
Figure 1 shows a diagram of a common configuration.
In many applications, it is common to verify the elements of the measurement system separately, but in doing so, significant improvements made possible by considering the system as a whole are ignored. One of the main reasons the elements are verified or cali­brated separately is that it is often considered to be more efficient. Verifying the mea­surement component is done simply and quickly with an electronic thermocouple (TC) or
Application Note
resistance temperature detector (RTD) simulator. This approach does not verify the performance of the associated temperature probe, and assumes all probes are identical and closely follow some standard. In practice, no two probes are identical; they all vary from the ideal standard, and over time and usage their characteristics change. Under­standing how probes vary from the ideal will allow you to opti­mize the measurement system to achieve the best performance.
From the Fluke Calibration Digital Library @ www.flukecal.com/library
Ideal curve
Actual curve
Class A tolerance
Class B tolerance
0 °C 400 °C
Figure 2.
System accuracy improved by more than 75 %!
1.2
0.8
0.4
RSS Error ± °C
0
Figure 3. System accuracy improvement achieved with a calibrated Pt100 Sensor.
DOCUMENTING PROCESS CALIBRATOR
754
Figure 4. Connecting a Fluke 754 to a Fluke Calibration dry-well.
Temperature °C – Input
Standard Sensor Calibrated Sensor
2514 dry-well
interface cable
System accuracy comparison measuring 150 °C using a Pt100 (IEC751) RTD with a transmitter span of 0 to 200 °C
Standard RTD Accuracy Characterized RTD Accuracy Rosemount Model 644H ± 0.15 °C Rosemount Model 644H ± 0.15 °C Standard RTD ± 1.05 °C Matched (calibrated) RTD ± 0.18 °C Total system ± 1.06 °C Total system ± 0.23 °C
Total system accuracy calculated using RSS statistical method.
Table 1
Rosemount Inc. uses the example provided in Table 1 for information on the possible per­formance improvement of their Model 644H Smart Tempera­ture Transmitter. To achieve this performance improvement, the Rosemount 644H is given information (Callendar Van Dusen Coefficients) that allows it to correct for the unique performance of the temperature sensing element, in this case a standard IEC751 Pt100 sensor.
Dry-wells and micro-baths are good choices for verifying the performance of tempera­ture probes and other related sensors. But they do not have the capability to calibrate the transmitter’s output or read­out and, by themselves, do not allow the entire measure­ment loop to be optimized. A heat source, combined with an intelligent electronic process calibrator that is capable of calibrating the transmitter and readout, is required if the above performance improvement is to be realized and maintained.
By combining the automating and documenting capabilities of the Fluke 754 Document­ing Process Calibrator with Fluke Calibration’s intelligent and stable family of field dry­wells and micro-baths, you have the capability to test the entire loop. This combination of equipment allows you to easily verify the characteristics of the temperature sensor and mea­surement electronics. Using this information, the entire loop can be adjusted to optimize system measurement performance. Below are some examples of how to optimize the perfor­mance of your measurement system using these instruments.
The Fluke 754 is connected to a Fluke Calibration dry-well or micro-bath by way of a serial RS-232 interface cable. Version
2.3 or greater firmware for the 754 is required. The firmware version is displayed briefly on the display of the 754 during power-up. If you do not have the required firmware, contact your authorized Fluke distribu­tor for information regarding an upgrade. The serial cable may be obtained from either your authorized Fluke distributor or directly from your Fluke Calibra­tion representative. The heat
Null modem
Fluke Calibration
Dry-well
(DB9)
source is connected to the 754 pressure port and is accessed by the 754 TC/RTD source key. Due to the length of these tests, it is recommended that a fully charged battery or battery eliminator for the 754 be used. A diagram of the connection of
Fluke Calibration
3.5 mm
interface cable
Fluke Calibration
Dry-well (3.5 mm)
this equipment is pictured in Figure 4.
In many process applications, the instrumentation of choice for temperature measurements
2 Fluke Corporation Eliminating sensor errors in loop calibrations
is a transmitter that accepts the output from the temperature sensor and drives a 4-20 mA signal back to the PLC, DCS or indicator. This example describes one method for verifying per­formance and offers to optimize this measurement to improve performance.
To perform this test, the RTD sensor is removed from the process and inserted in to the dry-block calibrator. The mA connections from the transmit­ter are connected directly to the 754 Documenting Process Calibrator (see Figure 5). In most applications, this solution provides adequate performance. But if your application includes a uniquely-shaped sensor, you might want to consider the use of a micro-bath. If increased heat source accuracy is needed, the use of a reference thermom­eter combined with the 754’s User-Entered Values feature can be used. See application note 1263925 for more information on 754 User-Entered Values.
Once connections are made, you are ready to acquire trans­mitter configuration (if you have a transmitter with HART communications), set the test parameters, and configure the calibrator for mA measurement and dry-well control as the sourcing parameter.
Pressing the HART key on the 754 allows the calibra­tor to acquire the transmitter configuration from a transmit­ter with HART communication capability. Following is a sample of this acquired configuration information.
Pressing the HART key on the 754 again presents the following screen with several options for configuring the cali­brator to the correct parameters for this test. For the purposes of this example, we’ll use the transmitter configured to output a 4-20mA signal; therefore the correct configuration of the 754 is to measure mA and source temperature via the dry-well.
Pressing the AS FOUND soft key on the 754 provides access to parameters needed to con­figure an automated test. Below is a typical definition that will test the measurement system from 50°C to 150°C sourcing temperatures using a dry-well
in ascending order.
After the test has been defined, the Fluke 754 will take over and run the test record­ing the sourced temperature, measured output of the trans­mitter, in mA. At the end of the test, the results will be dis­played on the screen, allowing the test technician to evaluate the results and take corrective action if needed. Following is
Figure 5. Fluke 754 and Fluke Calibration dry-well calibrating a 4-20 mA transmitter and temperature sensor.
an example of the results.
One method of optimizing this system to minimize error is to shift the URV or LRV of the transmitter to the values measured by the 754. With a transmitter with HART capa­bilities, this is easily done via the 754, by simply entering new values in the HART SETUP
3 Fluke Corporation Eliminating sensor errors in loop calibrations
screen below. With an analog transmitter, you will need to mechanically adjust the Zero and Span adjustments when sourcing the appropriate tem­perature values. The 754 has a convienent menu key that allows you to easily set the cor­rect value on the dry-well with a single button press.
a sensor and the ability to perform curve-fitting of the collected data.
The method of character­izing a probe is similar to the procedure above, but rather than measuring the output of the transmitter, the output of the sensor is connected directly to the 754. An example of data collected by a 754 on a temper-
Calibrating and adjusting measurement systems using characterized sensors and
ature sensor is shown below.
Data like this can be entered
calibration constants
Another method of reducing uncertainty and optimizing tem­perature measurement systems is to carefully characterize the temperature sensor, calculate correction coefficients and load these correction coefficients into the measurement equipment. This is the method used in the Rosemount 644H example on the previous page. This method does a better job of reducing the error in the measurement system that comes from the sensor. But it requires trans­mitters that have a correction
into Fluke Calibration’s software using the screens in Figure 6 and then unique CVD constants calculated for that probe.
These coefficients can then be entered into a suitable measurement device that allows its linearizations to match the characteristics of the probe.
or linearization algorithm that can accommodate the sensor. For example, Platinum RTDs typically use the Callendar­Van Dusen (CVD) equation for linearizing the sensor’s output. A characterized sensor will provide unique CVD coefficients that can be input into the trans­mitter, allowing its conversion algorithm to more closely match the unique characteristics of the
Summary
Using a dry-well in combina­tion with a process calibrator allows measurement systems to be verified and adjusted to optimize measurement perfor­mance. By verifying the entire measurement system, unique characteristics of the sensing element can be combined with the measurement electronics
sensor.
The Fluke 754 connected with a dry-well can help to collect the necessary information to characterize the sensor, but additional software and resources will be needed to take this data and generate new CVD constants. Examples of the required software include Fluke Calibration’s TableWare. Other software that could be used include Mathcad, Mathematica, Maple or Excel. But these packages require considerable knowledge of the equations used to linearize
4 Fluke Corporation Eliminating sensor errors in loop calibrations
Figure 6. TableWare software from Fluke Calibration calculates unique CVD constants that match the characteristics of the probe.
to minimize measurement error. This can result in a significant reduction in mea­surement errors. The Fluke 754 Documenting Process Calibra­tor, combined with a Fluke Calibration dry-well makes this process faster and easier.
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