Motor Current Signature Analysis for the Compound Fault Diagnosis of Reciprocating Compressors

Usama Haba, Guojin Feng, Abdulkarim Shaeboub, Xinyu Peng, Fengshou Gu, Andrew Ball

Research output: Contribution to journalArticle

Abstract

Induction motors as a primer driver, are the most widely electric component in the industry which consume tremendous energy each year. The influence of stator winding asymmetry combined with discharge valve leakage (DVL) significantly increases the temperature and reduces the motor efficiency and shorten the motor life. Monitoring the condition of these machines and their downstream equipment on time not only provides valuable information about the machine conditions but also maintaining their efficiency, avoids severe damage to systems and excessive energy consumption. This paper studies the use of motor current signals information to detect and diagnose the effect of the stator winding on different common reciprocating compressor (RC) faults which create varying load to the induction motor. The motor is applied by the RC with an oscillator torque which induces additional components in measured current signals. Moreover, the current signatures contain changes with the torque profiles due to different types of faults. Based on these analytical studies, the experimental studies examine different common RC faults, such as valve leakage, intercooler leakage, stator asymmetries and the compounds of them. The envelope analysis of current signals allows accurate demodulation of the torque profiles and thereby it can be combined with overall current levels for implementing model-based detections and diagnosis. The results show these simulated faults can be separated under all operating pressures.
Original languageEnglish
Pages (from-to)31-37
Number of pages7
JournalInternational Journal of COMADEM
Volume20
Issue number3
Publication statusPublished - 1 Jul 2017

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Reciprocating compressors
Failure analysis
Stators
Torque
Induction motors
Demodulation
Energy utilization
Fault
Fault diagnosis
Monitoring
Leakage
Industry
Temperature
Asymmetry
Induction

Cite this

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title = "Motor Current Signature Analysis for the Compound Fault Diagnosis of Reciprocating Compressors",
abstract = "Induction motors as a primer driver, are the most widely electric component in the industry which consume tremendous energy each year. The influence of stator winding asymmetry combined with discharge valve leakage (DVL) significantly increases the temperature and reduces the motor efficiency and shorten the motor life. Monitoring the condition of these machines and their downstream equipment on time not only provides valuable information about the machine conditions but also maintaining their efficiency, avoids severe damage to systems and excessive energy consumption. This paper studies the use of motor current signals information to detect and diagnose the effect of the stator winding on different common reciprocating compressor (RC) faults which create varying load to the induction motor. The motor is applied by the RC with an oscillator torque which induces additional components in measured current signals. Moreover, the current signatures contain changes with the torque profiles due to different types of faults. Based on these analytical studies, the experimental studies examine different common RC faults, such as valve leakage, intercooler leakage, stator asymmetries and the compounds of them. The envelope analysis of current signals allows accurate demodulation of the torque profiles and thereby it can be combined with overall current levels for implementing model-based detections and diagnosis. The results show these simulated faults can be separated under all operating pressures.",
keywords = "Discharge valve fault, Envelope analysis, Induction motor, Motor current signatures analysis, Reciprocating compressor, Stator winding asymmetry",
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Motor Current Signature Analysis for the Compound Fault Diagnosis of Reciprocating Compressors. / Haba, Usama; Feng, Guojin; Shaeboub, Abdulkarim; Peng, Xinyu; Gu, Fengshou; Ball, Andrew.

In: International Journal of COMADEM, Vol. 20, No. 3, 01.07.2017, p. 31-37.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Motor Current Signature Analysis for the Compound Fault Diagnosis of Reciprocating Compressors

AU - Haba, Usama

AU - Feng, Guojin

AU - Shaeboub, Abdulkarim

AU - Peng, Xinyu

AU - Gu, Fengshou

AU - Ball, Andrew

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N2 - Induction motors as a primer driver, are the most widely electric component in the industry which consume tremendous energy each year. The influence of stator winding asymmetry combined with discharge valve leakage (DVL) significantly increases the temperature and reduces the motor efficiency and shorten the motor life. Monitoring the condition of these machines and their downstream equipment on time not only provides valuable information about the machine conditions but also maintaining their efficiency, avoids severe damage to systems and excessive energy consumption. This paper studies the use of motor current signals information to detect and diagnose the effect of the stator winding on different common reciprocating compressor (RC) faults which create varying load to the induction motor. The motor is applied by the RC with an oscillator torque which induces additional components in measured current signals. Moreover, the current signatures contain changes with the torque profiles due to different types of faults. Based on these analytical studies, the experimental studies examine different common RC faults, such as valve leakage, intercooler leakage, stator asymmetries and the compounds of them. The envelope analysis of current signals allows accurate demodulation of the torque profiles and thereby it can be combined with overall current levels for implementing model-based detections and diagnosis. The results show these simulated faults can be separated under all operating pressures.

AB - Induction motors as a primer driver, are the most widely electric component in the industry which consume tremendous energy each year. The influence of stator winding asymmetry combined with discharge valve leakage (DVL) significantly increases the temperature and reduces the motor efficiency and shorten the motor life. Monitoring the condition of these machines and their downstream equipment on time not only provides valuable information about the machine conditions but also maintaining their efficiency, avoids severe damage to systems and excessive energy consumption. This paper studies the use of motor current signals information to detect and diagnose the effect of the stator winding on different common reciprocating compressor (RC) faults which create varying load to the induction motor. The motor is applied by the RC with an oscillator torque which induces additional components in measured current signals. Moreover, the current signatures contain changes with the torque profiles due to different types of faults. Based on these analytical studies, the experimental studies examine different common RC faults, such as valve leakage, intercooler leakage, stator asymmetries and the compounds of them. The envelope analysis of current signals allows accurate demodulation of the torque profiles and thereby it can be combined with overall current levels for implementing model-based detections and diagnosis. The results show these simulated faults can be separated under all operating pressures.

KW - Discharge valve fault

KW - Envelope analysis

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KW - Motor current signatures analysis

KW - Reciprocating compressor

KW - Stator winding asymmetry

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JO - International Journal of COMADEM

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