Electric Signature Analysis:
New Technique for Identifying Problems in Operating Electrical Equipment
by Donald V. Ferre
Electric Signature Analysis (ESA) is a diagnostic and analysis technique that
is being used to analyze motors, generators, alternators, transformers, and
other electric equipment. This new technology has the ability to test operating
electrical equipment and identify a variety of mechanical and electrical
problems.
ESA is used to evaluate rotors, stators, and rotor-stator air gap conditions
in electric motors. This is one of its prime uses. In many cases, a one-time
test can be used to determine if problems are present in the motor. More often,
trending is required to determine severity and changes in conditions.
Current and voltage data are acquired directly from the Motor Control Center
(MCC), while the equipment is in operation. The collected data is then used to
determine phase imbalance, motor load, power factor, power harmonics, and the
impact of the driven equipment on the motor. Rotor bar as well as stator health
and rotor-stator eccentricity (air gap) characteristics are also assessed. In
addition, degraded bearings can also be observed from the traces. ESA is
particularly helpful in accessing mechanical conditions when it is not possible
or convenient to make vibration measurements.
Figure 1 shows the three phase current sine waves for a 15 HP motor driving a
pump. The unbalance in current is about 38 per cent, much higher than acceptable
to continue running this motor. When the motor was taken from service and opened
up, a turn-to-turn short encompassing nearly half of one phase was observed.
Figure 2 shows the current spectrum of one phase of a motor driving a
compressor. The rotor has broken rotor bars as evidenced by the amplitude of the
pole passing sidebands around the line frequency peak at 59.97 Hz.
Figure 3 shows the peaks evident in the current spectrum of a motor that has
a broken bearing.
The peaks highlighted by cursors are a result of the modulation of the
current draw of the motor by the broken bearing.
For DC motors and motors with separate power supplies, such as variable
frequency drives, ESA monitors the power supply and can point out problems in
it.
Figure 4 shows the armature current spectrum for a DC motor. The large peak
at 360 Hz indicates the DC drive is full-wave-rectified. The large peaks at 120
and 240 Hz indicate problems in the control circuitry of the DC drive.
Trending of Motor Data
ESA becomes even more useful, however, for trending motor indications; because,
in some cases, a motor's base-line signature may not be known. The ideal
information a predictive/preventive maintenance engineer needs to know is, 'How
long until I need to replace or repair this motor?'
Rarely can a one-time test provide this data. However, trending will give
this input by providing an indication of how quickly a motor condition is
changing. For example, if an indication of rotor degradation appears, it may not
be clear from one test how rapidly the rotor circuit is degrading. Testing over
several weeks or months will confirm if the rotor is stable and not changing.
The number of starts and stops that a motor experiences is very important
regarding rotor change. A motor with a high on-off duty cycle is much more
likely to show rapidly increasing rotor degradation than a motor that runs
constantly. These types of operating conditions can be factored into the
trending data to provide a much clearer indication of motor health.
Figure 5 shows the current spectrum of a 1750 Hp motor that has 'soft foot'.
The 'soft foot' shows up as static eccentricity, or air gap variation. The peaks
highlighted by the cursors are the rotor bar passing peaks indicative of static
eccentricity. This condition can be determined with a single test. Degrading
static eccentricity will be seen as the peaks grow in amplitude.
Monitoring the Driven Load
In some cases, it is the driven load that is more important to the
Predictive/Preventative Maintenance professional than is the motor. In this
case, ESA is used to differentiate between the motor and load characteristics.
This has been successfully demonstrated on pulverizers at coal-fired power
plants, on motor-operated valves, pump motors, and in other areas.
Figure 6 shows the demodulated current spectrum of a motor driven by a
variable frequency drive. The motor drives a belt that drives a fan. The peaks
in the spectrum are the belt passing peak at 5.64 Hz, the second harmonic of
belt passing at 11.24 Hz, motor running speed at 22.05 Hz and fan blade passing
at 41.44 Hz. The VFD was running at about 45 Hz and the motor has four poles.
Figure 7 shows the demodulated spectrum of a DC motor driving a gearbox. The
peaks at 8.62 Hz and multiples are from one of the shafts in the gear box.
Sidebands are evident around the peak at 8.62 Hz; these come from gear meshing
modulation on the shaft. The numerous peaks at the lower end of the spectrum
come from the gearbox shafts and from the hunting tooth frequencies in the gear
meshing.
Monitoring the Power Supply
The power supply, a variable frequency drive or the power coming in on the
bus, are all-important components of the load-driving system. In some cases, the
power supply contributes to the problems being experienced with the motor. ESA
is used to diagnose problems in the power supply and can provide insight into
the root cause of motor problems that can be obtained in no other way.
Figure 8 shows the voltage supplied by a VFD when the VFD is being overdriven
by high voltage. Note first the peak at 52 Hz, the drive output line frequency.
Then note the large number of peaks near 2975 Hz which arise from the chopping
frequency of the VFD.
In this case, the motor being powered by this VFD was being destroyed because
of the high frequency ripple riding on the VFD line frequency.
Inrush Testing
ESA is also useful for inrush testing. Inrush testing can provide data on the
motor and the power circuit, including breakers. This information can be used to
help diagnose motor or power supply problems that can be used to improve motor
performance. In one case, breaker bounce was detected and enabled the plant
maintenance engineer to understand why the plant struggled to bring the motor on
line.
Figure 9 shows the inrush for a 9,000 Hp motor attached to a pump. Note that
it takes over 11 seconds for this motor to come to its normal operating speed.
Most motors achieve standard operating speed in a second or less, but this 9,000
Hp motor/pump represents a very large mass to bring up to speed.
Conclusion
ESA is a valuable tool used to monitor and diagnose the power supply, the motor
and the driven load. ESA can be used to perform a one-time test or periodic
testing to track and trend equipment performance. ESA is remote, non-intrusive,
and is invisible to the equipment being monitored.
Data acquisition takes less than two minutes per motor. LAN-based, continuous
monitoring of motors is readily accomplished.
References
[1] Brown, E. David, 'Current Signature Analysis at the Everett Plant
of Boeing Commercial Airplane Group,' P/PM TECHNOLOGY, August - 1998.
[2] Lang, George Fox, 'Of Cages, Induction, Deduction, Bars, Vars and
Squirrels,' SOUND AND VIBRATION, December - 1994.
[3] Burstein, Nissen M. and Ferree, Donald V., 'Monitoring Electric Motor
Condition Using Current Signature Analysis: Case Histories and Success Stories,'
International Maintenance Technology and Information Symposium, November - 1996.
[4] Lanier, Chris, 'What to look for in inverter-duty motors', PLANT
ENGINEERING, Dec.1998.
[5] Phipps, Clarence A., (1999) Variable Speed Drive Fundamentals,
The Fairmont Press, Lilburn, GA.
[6] Nailen, Richard L., (1996) Managing Motors, Second Edition, Barks
Publications, Chicago, IL.
[7] Patrick, Dale R. and Fardo, Stephen, W., (1996) Rotating Electrical
Machines & Power Systems, The Fairmont Press, Lilburn, GA.
[8] Berry, James E., (1992) 'Comparison of Motor Current Analysis and
Vibration Analysis in Detecting Rotor Bar and Air Gap Eccentricity Problems in
Induction Motors,' Technical Associates of Charlotte, Inc., Charlotte, NC.
[9] Simoncic, David A. and Berry, James E., (1996) 'DC Motor and Control
Problem Identification Using Vibration Analysis,' Technical Associates of
Charlotte, Inc., Charlotte, NC.
[10] Mazur, Glen A., (1999) Power Measurement and Trouble Shooting,
American Technical Publishers, Inc., Homewood, IL.
Donald V. Ferree is with Framatome ANP. For more information on ESA contact
Interfax Systems Inc. at (416) 674-8970 or www.interfaxsystems.com. ET