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MCSA
MOTOR CURRENT
SIGNATURE ANALYSIS
Insights
What is it?
Motor-current signature analysis (MCSA) is a non-
destructive analysis technique used for detection of
mechanical and electrical problems in motors,
transformers, generators, alternators, distribution,
valves and other electric equipment. It is a predictive
maintenance tool used to analyze the dynamically
energized systems and thus prevent expensive
production outages. The technique can be used to
analyze the driver, the driven load and the power
supply. MCSA can be used as a preventative
maintenance tool to perform a one-time test or
periodic testing to record and analyze motor
performance. The test analyzes the current waveform
using Fast Fourier Transforms. The information is
captured and thereafter analyzed for the following
possible defects, Rotor bar faults, Stator faults,
Winding lamination defects, Phase imbalance.
MCSA is based on the fact that an electric
motor (AC or DC) actually acts as a transducer.
Mechanical-load variations are sensed by the motor
and are converted into electric current variations that
are transmitted along the motor power cables. Even
though the variations are very small, these variations
can still be displayed and analyzed at a convenient
location away from the operating equipment. A
thorough analysis of these variations which can be
recorded and trended indicates the current machine
condition as well as a historical trend of the condition
over time to provide an early warning of possible
machine failure. Current and voltage measurements
methods are performed according to the voltage level.
For the low voltage motors, current measurements
are done by simple split core current transformer
clipped in the motor feeding cables, and voltage
measurements are done by clipping the voltage
probes on the motor terminals. For motors working on
medium voltages, current transducers clipped on the
secondary circuit of the current transformers can be
used for for current measurements .Similarly, the
voltage probes on the secondary terminals of the
potential transformer can be used for voltage
measurements
Although MCSA was developed for the specific task of
determining the effects of aging and service wear on
motor-operated valves used in nuclear plants, it has
found application within a much broader range of plant
machinery, such as electric motors. Motor-current
signals can be obtained remotely using a current
transformer, typically located in a motor control center,
which may be located several hundred feet from the
equipment being monitored. For temporary
measurements, the signals can be obtained non-
intrusively with a single split-jaw current probe placed
on one of the power leads. Because no electrical
connections need to be made or broken, the hazard of
electrical shock is minimized. The resulting raw data
signal is amplified, filtered, and further processed
(using fast Fourier transform digital signal processing
techniques) to obtain a baseline signal pattern
measurement of the instantaneous load variations
within the drive train and ultimate load.
Applications
A comparison of motor-current and mechanical-
vibration signatures obtained simultaneously from a
motor-operated valve, for example, reveals
similarities and distinctions. Both spectra contain
frequency peaks corresponding to the worm-gear
tooth meshing, motor speed and its harmonics,
though the differences lie in amplitude relationships.
Subsequent signal signatures patterns can then be
compared with the baseline to find faults and
problem indicators. One distinction which is
prominent and crucial is that in motor-current
signature there is a strong spectral component that
is defined as the slip frequency. This signal reflects
the rate at which the motor armature lags behind the
rotating electrical field generated by the motor's field
windings. Since this motor slip-frequency
component is electrical rather than mechanical in
origin, it has no vibration counterpart and it is not
present in the vibration spectrum.
Spot checking at intervals shorter than a year is of
significant value only after a plant has developed its
own baseline data. Once historical files have been
developed, spot checking can be cost-effective for
critical or expensive machines as well as for less-
critical equipment.
It also can be used effectively as a troubleshooting
tool. Information can be obtained by monitoring
machinery once a month or once a quarter. Periodic
MCSA can provide a subtle indication of bearing,
packing, coupling, or gear wear, allowing personnel to
project acceptable machine performance into the
future. Advance notice of developing problems gives
technicians’ time to repair a component during
normal, planned machine shutdowns, rather than
allowing a serious machine failure to cause a plant
forced outage. Because problems are detected when
they are relatively minor, they are usually less
expensive to repair.
The analysis of MCSA output is subjective in nature
and the limited availability of industry-wide historical
and comparative spectra available for specific
applications makes it tough to analyze the faults.
Thus, subject matter experts can help in analyzing the
spectrums. In the past several years the technique
has been simplified by several vibration data
collector/analyzer manufacturers. This has improved
the technique from a data-collection and data-
analysiis standpoint and significantly increased the
amount of practical field experience.
It's not only
about Motors
The technique's non-intrusive nature makes it
particularly useful. Measurements can be taken
without making or breaking electrical connections and
without shutting down or opening up machinery. This
eliminates equipment downtime for inspection and
improves personnel safety. In addition, because
readings can be taken remotely, this technique can be
more conveniently and safely performed on large,
high-speed, or otherwise hazardous machines. The
technique can be used in variety of valve applications
which are discussed in the following details.
1. MOVs diagnosis
Tests on motor-operated valves indicate that MCSA is
capable of detecting and tracking the progress of
stem-packing degradation, incorrect torque-switch
settings or varying switch trip points, degraded stem or
gear-case lubrication, worm-gear tooth wear,
restricted valve stem travel, obstructions in the valve
seat area, and disengagement of the motor pinion
gear. Worn mechanical and electrical components can
compromise motor-operated valve (MOV) operation as
the valves age. Routine tests with mechanical
sensors, such as strain gauges, accelerometers and
pressure transducers, require valve access, which
may not be possible during normal plant operation.
As we know that in motor power cables current varies
proportionally to the motor's mechanical load. This
current variation can be large step changes, such as
those induced by limit and torque switches or minute
variations caused by small changes in mechanical
loads. The latter, which show up as "noises" riding on
top of the motor current, are particularly rich in
information about motor and gear train condition and
about the condition of equipment driven by the motor,
such as the MOV actuator. This motor current noise,
or signature, contains virtually all the information
normally detected by mechanical sensors, such as
motor rotational speed, worm-gear teeth
meshing frequency, hammer blow, drive-sleeve
rotation speed, valve-stem motion, and valve-disk
seating and unseating. In addition, the signature
contains electrical information which cannot be
detected by mechanical sensors, such as slip
frequency, no load, and running and peak currents.
Motor current signature analysis (MCSA) is possible
with universal signal analysis software, just as with
mechanical signature analysis. However, MCSA
offers important advantages over mechanical
signature analysis in MOV diagnosis. First, using
clamped-on inductive current probes to pick up
motor current eliminates the need to cut or splice the
motor power cable. Second, the current probe can
be clamped onto any point along the motor power
cable. The most convenient location is usually the
motor control center (MCC), which can be several
hundred feet away from the MOVs. This allows test
engineers to monitor MOVs not only non-intrusively
but remotely at a convenient central location. By
acquiring motor current data regularly at the MCC,
engineers can trend individual MOV conditions and
detect degradation of the motor, its drivetrain or the
downstream valve. Early detection allows remedial
action before MOV problems jeopardize plant safety
and operation.By itself, a motor current signature
gives only qualitative information on mechanical
loads. If, in addition to MCSA, test engineers use
mechanical sensors such as strain gauges and
displacement transducers to test the MOV, they can
calibrate the motor current signature to yield
quantitative information on mechanical loads.In one
application of mechanical sensors to in-situ MOV
testing, strain gauges are pre-mounted on
collars designed and calibrated to specific valve stem
These instrumented collars can be quickly glued onto
the valve stems, greatly facilitating MOV testing in
restricted spaces and hostile environment
"Everybody recognizes that if you can make very efficient electric motors,
you can make a quantum leap forward "
2. SOVs diagnosis
Solenoid-operated valves (SOV) draw electric current
to energize a plunger, whose position is the prime
interest in SOV monitoring. Test engineers can
remotely monitor SOVs by slightly varying the MCSA
technique described earlier. In dc-operated SOVs, an
AC with known frequency must be injected into the
solenoid power leads. The same signal conditioning
electronics and signal analysis software used in MOV
testing processes the data and assesses the plunger's
position.
MCSA is a powerful diagnostic tool and a significant
addition to vibration and thermal monitoring. This
technology enables us to test a variety of mechanical
and electrical problems both online and off line and
has a wide range of applications. For those
companies
willing to commit resources to this PdM tool, the
payback appears as attractive as for vibration
analysis. And, for companies with limited
budgets, there are several service companies
that will perform motor current signature
analysis on a contract basis.
James Dyson
www.arrelic.com
info@arrelic.com
©2018 Arrelic Reliability Private Limited ·All rights reserved .
Arrelic, Arlytic, PdMAAS, are trademarks of Arrelic .
No part of this document may be distributed, reproduced or
posted without the express written permission of Arrelic. Designed in India | Arrelic
About Arrelic
Arrelic is a fast-growing deep-tech firm aiming to bring the next level of IoT based sensor technology to
transform the mode of manufacturing operation and maintenance practice of various industries with
extensive expertise in Reliability Engineering, Predictive Maintenance, Industrial Internet of Things (IIoT)
Sensors, Machine Learning and Artificial Intelligence. We provide a single ecosystem for catering all
industry needs from Consulting to IoT and Analytics as well as providing Training and Development
courses for different stakeholders. We aim to help manufacturing industries to improve their overall plant
productivity, reliability and minimize total production cost by 25-30% by eliminating machine downtime,
lightening management decisions by analyzing the machine data with right mind and expertise; for a worry-
free operation.
Disclaimer
The information contained herein is of a general nature and is not intended to address the circumstances of
any particular individual or entity. Although we endeavor to provide accurate and timely information, there
can be no guarantee that such information is accurate as of the date it is received or that it will continue to
be accurate in the future. No one should act on such information without appropriate professional advice
after a thorough examination of the particular situation. In this regard, Arrelic has no responsibility for the
consequences hereof and no liability.

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Motor Current Signature Analysis (MCSA) | Arrelic Insights

  • 2. What is it? Motor-current signature analysis (MCSA) is a non- destructive analysis technique used for detection of mechanical and electrical problems in motors, transformers, generators, alternators, distribution, valves and other electric equipment. It is a predictive maintenance tool used to analyze the dynamically energized systems and thus prevent expensive production outages. The technique can be used to analyze the driver, the driven load and the power supply. MCSA can be used as a preventative maintenance tool to perform a one-time test or periodic testing to record and analyze motor performance. The test analyzes the current waveform using Fast Fourier Transforms. The information is captured and thereafter analyzed for the following possible defects, Rotor bar faults, Stator faults, Winding lamination defects, Phase imbalance. MCSA is based on the fact that an electric motor (AC or DC) actually acts as a transducer. Mechanical-load variations are sensed by the motor and are converted into electric current variations that are transmitted along the motor power cables. Even though the variations are very small, these variations can still be displayed and analyzed at a convenient location away from the operating equipment. A thorough analysis of these variations which can be recorded and trended indicates the current machine condition as well as a historical trend of the condition over time to provide an early warning of possible machine failure. Current and voltage measurements methods are performed according to the voltage level. For the low voltage motors, current measurements are done by simple split core current transformer clipped in the motor feeding cables, and voltage measurements are done by clipping the voltage probes on the motor terminals. For motors working on medium voltages, current transducers clipped on the secondary circuit of the current transformers can be used for for current measurements .Similarly, the voltage probes on the secondary terminals of the potential transformer can be used for voltage measurements Although MCSA was developed for the specific task of determining the effects of aging and service wear on motor-operated valves used in nuclear plants, it has found application within a much broader range of plant machinery, such as electric motors. Motor-current signals can be obtained remotely using a current transformer, typically located in a motor control center, which may be located several hundred feet from the equipment being monitored. For temporary measurements, the signals can be obtained non- intrusively with a single split-jaw current probe placed on one of the power leads. Because no electrical connections need to be made or broken, the hazard of electrical shock is minimized. The resulting raw data signal is amplified, filtered, and further processed (using fast Fourier transform digital signal processing techniques) to obtain a baseline signal pattern measurement of the instantaneous load variations within the drive train and ultimate load. Applications
  • 3. A comparison of motor-current and mechanical- vibration signatures obtained simultaneously from a motor-operated valve, for example, reveals similarities and distinctions. Both spectra contain frequency peaks corresponding to the worm-gear tooth meshing, motor speed and its harmonics, though the differences lie in amplitude relationships. Subsequent signal signatures patterns can then be compared with the baseline to find faults and problem indicators. One distinction which is prominent and crucial is that in motor-current signature there is a strong spectral component that is defined as the slip frequency. This signal reflects the rate at which the motor armature lags behind the rotating electrical field generated by the motor's field windings. Since this motor slip-frequency component is electrical rather than mechanical in origin, it has no vibration counterpart and it is not present in the vibration spectrum. Spot checking at intervals shorter than a year is of significant value only after a plant has developed its own baseline data. Once historical files have been developed, spot checking can be cost-effective for critical or expensive machines as well as for less- critical equipment. It also can be used effectively as a troubleshooting tool. Information can be obtained by monitoring machinery once a month or once a quarter. Periodic MCSA can provide a subtle indication of bearing, packing, coupling, or gear wear, allowing personnel to project acceptable machine performance into the future. Advance notice of developing problems gives technicians’ time to repair a component during normal, planned machine shutdowns, rather than allowing a serious machine failure to cause a plant forced outage. Because problems are detected when they are relatively minor, they are usually less expensive to repair. The analysis of MCSA output is subjective in nature and the limited availability of industry-wide historical and comparative spectra available for specific applications makes it tough to analyze the faults. Thus, subject matter experts can help in analyzing the spectrums. In the past several years the technique has been simplified by several vibration data collector/analyzer manufacturers. This has improved the technique from a data-collection and data- analysiis standpoint and significantly increased the amount of practical field experience.
  • 4. It's not only about Motors The technique's non-intrusive nature makes it particularly useful. Measurements can be taken without making or breaking electrical connections and without shutting down or opening up machinery. This eliminates equipment downtime for inspection and improves personnel safety. In addition, because readings can be taken remotely, this technique can be more conveniently and safely performed on large, high-speed, or otherwise hazardous machines. The technique can be used in variety of valve applications which are discussed in the following details. 1. MOVs diagnosis Tests on motor-operated valves indicate that MCSA is capable of detecting and tracking the progress of stem-packing degradation, incorrect torque-switch settings or varying switch trip points, degraded stem or gear-case lubrication, worm-gear tooth wear, restricted valve stem travel, obstructions in the valve seat area, and disengagement of the motor pinion gear. Worn mechanical and electrical components can compromise motor-operated valve (MOV) operation as the valves age. Routine tests with mechanical sensors, such as strain gauges, accelerometers and pressure transducers, require valve access, which may not be possible during normal plant operation. As we know that in motor power cables current varies proportionally to the motor's mechanical load. This current variation can be large step changes, such as those induced by limit and torque switches or minute variations caused by small changes in mechanical loads. The latter, which show up as "noises" riding on top of the motor current, are particularly rich in information about motor and gear train condition and about the condition of equipment driven by the motor, such as the MOV actuator. This motor current noise, or signature, contains virtually all the information normally detected by mechanical sensors, such as motor rotational speed, worm-gear teeth meshing frequency, hammer blow, drive-sleeve rotation speed, valve-stem motion, and valve-disk seating and unseating. In addition, the signature contains electrical information which cannot be detected by mechanical sensors, such as slip frequency, no load, and running and peak currents. Motor current signature analysis (MCSA) is possible with universal signal analysis software, just as with mechanical signature analysis. However, MCSA offers important advantages over mechanical signature analysis in MOV diagnosis. First, using clamped-on inductive current probes to pick up motor current eliminates the need to cut or splice the motor power cable. Second, the current probe can be clamped onto any point along the motor power cable. The most convenient location is usually the motor control center (MCC), which can be several hundred feet away from the MOVs. This allows test engineers to monitor MOVs not only non-intrusively but remotely at a convenient central location. By acquiring motor current data regularly at the MCC, engineers can trend individual MOV conditions and detect degradation of the motor, its drivetrain or the downstream valve. Early detection allows remedial action before MOV problems jeopardize plant safety and operation.By itself, a motor current signature gives only qualitative information on mechanical loads. If, in addition to MCSA, test engineers use mechanical sensors such as strain gauges and displacement transducers to test the MOV, they can calibrate the motor current signature to yield quantitative information on mechanical loads.In one application of mechanical sensors to in-situ MOV testing, strain gauges are pre-mounted on collars designed and calibrated to specific valve stem
  • 5. These instrumented collars can be quickly glued onto the valve stems, greatly facilitating MOV testing in restricted spaces and hostile environment "Everybody recognizes that if you can make very efficient electric motors, you can make a quantum leap forward " 2. SOVs diagnosis Solenoid-operated valves (SOV) draw electric current to energize a plunger, whose position is the prime interest in SOV monitoring. Test engineers can remotely monitor SOVs by slightly varying the MCSA technique described earlier. In dc-operated SOVs, an AC with known frequency must be injected into the solenoid power leads. The same signal conditioning electronics and signal analysis software used in MOV testing processes the data and assesses the plunger's position. MCSA is a powerful diagnostic tool and a significant addition to vibration and thermal monitoring. This technology enables us to test a variety of mechanical and electrical problems both online and off line and has a wide range of applications. For those companies willing to commit resources to this PdM tool, the payback appears as attractive as for vibration analysis. And, for companies with limited budgets, there are several service companies that will perform motor current signature analysis on a contract basis. James Dyson
  • 6. www.arrelic.com info@arrelic.com ©2018 Arrelic Reliability Private Limited ·All rights reserved . Arrelic, Arlytic, PdMAAS, are trademarks of Arrelic . No part of this document may be distributed, reproduced or posted without the express written permission of Arrelic. Designed in India | Arrelic About Arrelic Arrelic is a fast-growing deep-tech firm aiming to bring the next level of IoT based sensor technology to transform the mode of manufacturing operation and maintenance practice of various industries with extensive expertise in Reliability Engineering, Predictive Maintenance, Industrial Internet of Things (IIoT) Sensors, Machine Learning and Artificial Intelligence. We provide a single ecosystem for catering all industry needs from Consulting to IoT and Analytics as well as providing Training and Development courses for different stakeholders. We aim to help manufacturing industries to improve their overall plant productivity, reliability and minimize total production cost by 25-30% by eliminating machine downtime, lightening management decisions by analyzing the machine data with right mind and expertise; for a worry- free operation. Disclaimer The information contained herein is of a general nature and is not intended to address the circumstances of any particular individual or entity. Although we endeavor to provide accurate and timely information, there can be no guarantee that such information is accurate as of the date it is received or that it will continue to be accurate in the future. No one should act on such information without appropriate professional advice after a thorough examination of the particular situation. In this regard, Arrelic has no responsibility for the consequences hereof and no liability.