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Periodic checks attest to accuracy

Use self-diagnostics, self-calibrations, and check standards to ensure test equipment operates at peak performance.

Chris Grachanen, Hewlett-Packard, Houston, TX -- Test & Measurement World, 1/1/2003

Predict the future

When test equipment returns from a cal lab, you're quite confident that it will perform within specifications. By running periodic performance checks, you can maintain that confidence until it's time for the next calibration. Many test instruments include self-diagnostic and self-calibration capabilities, and you can also use external references to check your equipment's measurement accuracy.

Self-diagnostics

Self-diagnostics let you check an instrument's basic performance. These "first line of defense" checks typically verify the instrument's default settings, test its memory, and confirm that the instrument's internal power supplies operate at the proper levels. In some instruments, self-diagnostics also may measure the units' internal temperature and reference sources and test the communication ports.

Some instruments run their self-diagnostics each time you turn them on. Others run their diagnostics at the push of a button or the click of a mouse. Table 1 lists a few instruments at HP's Houston calibration lab and the self-diagnostics that check each instrument's performance.

When you run an instrument's self-diagnostics, the instrument typically provides a "pass" or "fail" message. If a self-diagnostic fails, the instrument will often display an error code, which you can interpret from the instrument's manual.

Self-calibration

Some test instruments go beyond self-diagnostics and include self-calibration features that perform internal checks and adjustments using an internal reference. A DMM, for example, may contain an internal zener voltage source for performing self-calibrations. Oscilloscopes often include a calibrator output signal that lets you check their voltage and timing measurements.

An instrument manufacturer may place a time limit on a self-calibration, after which time the instrument may drift beyond a specified range. Typically, a manufacturer will guarantee an instrument's performance for 24 hrs following a self-calibration.

In some instruments, a manufacturer may specify a 1-hr time limit for when you need the least measurement uncertainty. The time limit depends on the uncertainty you require.

Table 2 shows the uncertainties and their time limits for an Agilent/HP 3458A DMM. The "24 hours" column indicates the instrument's uncertainty 24 hrs after performing a self-calibration. The "90 days" column indicates a greater uncertainty. In this case, it's 24 hrs after a self-calibration performed 90 days after a lab calibration. The "1 year" and "2 years" columns follow the same pattern. As you'd expect, the uncertainty increases the longer it has been since a lab calibration.

Some instruments take self-calibration to another level. The Fluke 5700 multifunction calibrator, for example, measures its own outputs and identifies the output that's closest to the manufacturer's tolerance limits as a percentage of that limit. You should record this information and track it, so you can use it to predict when that parameter might exceed tolerance limits. "Predict the future," below, gives an example of how you can use linear regression to predict when an instrument might require calibration.

Check standards

In addition to self-diagnostics and self-calibrations, you can use check standards to verify your instrument's performance. Check standards are typically passive artifacts that tend to hold their values over time. Because passive artifacts historically hold their values well, you can use them as "sanity checks" on your equipment. Table 3 shows some types of check standards. Several 50-V RF terminations that you can use as check standards appear in Figure 1.

Figure 1 50-V BNC N-type and APC 3.5 terminations are check standards for RF test equipment.

A check standard's absolute value isn't as important as its stability. You just need to know the check standard's expected value before you use it to test a piece of equipment. To initially establish the expected value, measure the check standard with an instrument that has a smaller uncertainty than the instrument whose measurements you want to verify with the check standard, and record the value.

You should monitor the check standard's value each time you use it to ensure that its value hasn't drastically changed. If the check standard's measured value changes appreciably from its previous values, double check your measurement setup and measure the value again to verify that a poor connection didn't cause the problem.

If practical, keep a second check standard as a type of measurement arbitrator. Using a second check standard will help you verify whether the first check standard's value changed, or whether the equipment that measured the first check standard has a problem. If the first check standard's value differs significantly from previous values, you may need to question the measurements taken with equipment checked with that standard. For more information on check standards and how to use them, see the NIST Engineering Statistical Handbook (Ref. 1).

You should periodically run tests with self-diagnostics, self-calibrations, or check standards. The frequency at which you should check your instruments depends on how often you use each piece of equipment.

Equipment that you use every day may require self-calibrations once a day, or once per production shift, or even once per hour depending on the uncertainty you need to maintain. Equipment that you use infrequently may require a self-check or self-calibration once a month. You can use check standards less frequently than self-diagnostics or self-calibrations, but you should use them whenever you question an instrument's performance following a self-calibration.

Regardless of how frequently you check an instrument, always document the results of your check. Keeping records will let you build a history of your instrument's performance, which you can use to help predict its future performance.

Table 1. Sample self-diagnostics and self-calibration routines
Manufacturer ModelDescriptionRoutine(s)
Fluke4950Multifunction transfer standardConfidence test
Agilent3458A81/2-digit DMMSelf-test, auto calibration
Agilent54750ADigitizing oscilloscopeSelf-tests for mainframe and plug-in modules
Fluke5700AMultifunction calibratorSelf-test and diagnostics, calibration check
Agilent8757DScalar vector analyzerSelf-diagnostics
FlukePM6681Timer/counter/analyzerSelf-tests
TektronixTDS7404Digital phosphor oscilloscopeInstrument diagnostics and calibration

Table 2. DCV accuracy for Agilent 3458A DMM
Range24 hours90 days1 year2 years
10V0.5 ppm of reading +
0.05 ppm of range
4.1 ppm of reading +
0.2 ppm of range
8 ppm of reading +
0.2 ppm of range
14 ppm of reading +
0.5 ppm of range
From OEM Manual 06/88. Specifications for 90 days, 1 yr, and 2 yrs are within 24 hrs and ±1° C of last auto-calibration

Table 3. Instrument check standards
ArtifactUsed to check
50-Ω RF terminatorVector-network analyzers
Reference resistor or resistance decade boxDMMs and thermometers that use RTD probes or thermistor probes
Current shunt andBench and handheld DMMs voltage source
Oscilloscope calibration output Oscilloscopes


Author Information
Chris Grachanen is a metrologist and manager at Hewlett-Packard's metrology group in Houston, TX. He holds a BSEE from Cook's Institute of Electronics Engineering and a BS in technology and management from the University of Maryland.


Reference
  1. Engineering Statistical Handbook, Section 2.1.2, "What is a check standard," National Institute of Standards and Technology, Gaithersburg, MD. www.itl.nist.gov/div898/handbook/mpc/mpc.htm
 

Predict the future

A spreadsheet or statistical software package contains regression-analysis functions that can help you predict a measurement's future value by identifying patterns and trends. The regression function calculates the best straight line that "fits" a number of seemingly unrelated points.

The figure shows a general upward trend in a 20-mA measurement over 30 weeks, and predicts where the measurement might fall at 52 weeks, the time of the next scheduled calibration. If 20.02 mA is the upper tolerance limit, then the instrument will likely exceed that tolerance 40 weeks after calibration. Therefore, you might recommend that the instrument be calibrated at 26-week (6-month) intervals.

For more information

"Establishment and Adjustment of Calibration Intervals," Recommended Practice 1, NCSL International, Boulder, CO, March 1996. www.ncslinternational.org.

Fox, John, Applied Regression Analysis, Linear Models, and Related Methods, Chapter 2: "What is Regression Analysis?" UCLA Academic Technology Services, Los Angeles, CA. www.ats.ucla.edu/stat/stata/examples/ara/arastata2.htm.

"Multiple Regression," StatSoft, Tulsa, OK. www.statsoft.com/textbook/stmulreg.html.

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