Abstract
Motor current signature analysis (MCSA) has been an effective way of monitoring electrical machines for many years. However, inadequate accuracy in diagnosing incipient broken rotor bars (BRB) has motivated many studies into improving this method. In this paper a modulation signal bispectrum (MSB) analysis is applied to motor currents from different broken bar cases and a new MSB based sideband estimator (MSB-SE) and sideband amplitude estimator are introduced for obtaining the amplitude at (1±2s)fs (s is the rotor slip and fs is the fundamental supply frequency) with high accuracy. As the MSB-SE has a good performance of noise suppression, the new estimator produces more accurate results in predicting the number of BRB, compared with conventional power spectrum analysis. Moreover, the paper has also developed an improved model for motor current signals under rotor fault conditions and an effective method to decouple the BRB current which interferes with that of speed oscillations associated with BRB. These provide theoretical supports for the new estimators and clarify the issues in using conventional bispectrum analysis.
| Language | English |
|---|---|
| Pages | 400-413 |
| Number of pages | 14 |
| Journal | Mechanical Systems and Signal Processing |
| Volume | 50-51 |
| DOIs | |
| Publication status | Published - 2015 |
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A new method of accurate broken rotor bar diagnosis based on modulation signal bispectrum analysis of motor current signals. / Gu, F.; Wang, Tie; Alwodai, A.; Tian, X.; Shao, Yimin; Ball, A. D.
In: Mechanical Systems and Signal Processing, Vol. 50-51, 2015, p. 400-413.Research output: Contribution to journal › Article
TY - JOUR
T1 - A new method of accurate broken rotor bar diagnosis based on modulation signal bispectrum analysis of motor current signals
AU - Gu, F.
AU - Wang, Tie
AU - Alwodai, A.
AU - Tian, X.
AU - Shao, Yimin
AU - Ball, A. D.
PY - 2015
Y1 - 2015
N2 - Motor current signature analysis (MCSA) has been an effective way of monitoring electrical machines for many years. However, inadequate accuracy in diagnosing incipient broken rotor bars (BRB) has motivated many studies into improving this method. In this paper a modulation signal bispectrum (MSB) analysis is applied to motor currents from different broken bar cases and a new MSB based sideband estimator (MSB-SE) and sideband amplitude estimator are introduced for obtaining the amplitude at (1±2s)fs (s is the rotor slip and fs is the fundamental supply frequency) with high accuracy. As the MSB-SE has a good performance of noise suppression, the new estimator produces more accurate results in predicting the number of BRB, compared with conventional power spectrum analysis. Moreover, the paper has also developed an improved model for motor current signals under rotor fault conditions and an effective method to decouple the BRB current which interferes with that of speed oscillations associated with BRB. These provide theoretical supports for the new estimators and clarify the issues in using conventional bispectrum analysis.
AB - Motor current signature analysis (MCSA) has been an effective way of monitoring electrical machines for many years. However, inadequate accuracy in diagnosing incipient broken rotor bars (BRB) has motivated many studies into improving this method. In this paper a modulation signal bispectrum (MSB) analysis is applied to motor currents from different broken bar cases and a new MSB based sideband estimator (MSB-SE) and sideband amplitude estimator are introduced for obtaining the amplitude at (1±2s)fs (s is the rotor slip and fs is the fundamental supply frequency) with high accuracy. As the MSB-SE has a good performance of noise suppression, the new estimator produces more accurate results in predicting the number of BRB, compared with conventional power spectrum analysis. Moreover, the paper has also developed an improved model for motor current signals under rotor fault conditions and an effective method to decouple the BRB current which interferes with that of speed oscillations associated with BRB. These provide theoretical supports for the new estimators and clarify the issues in using conventional bispectrum analysis.
KW - Broken rotor bar
KW - Conventional bispectrum
KW - Induction motors
KW - Modulation signal bispectrum
KW - Motor current signal model
UR - http://www.scopus.com/inward/record.url?scp=84905856260&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2014.05.017
DO - 10.1016/j.ymssp.2014.05.017
M3 - Article
VL - 50-51
SP - 400
EP - 413
JO - Mechanical Systems and Signal Processing
T2 - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
SN - 0888-3270
ER -