A new method of accurate broken rotor bar diagnosis based on modulation signal bispectrum analysis of motor current signals

References

Page 1

	Year	Citations
Advances in Diagnostic Techniques for Induction Machines A. Bellini, F. Filippetti, C. Tassoni, IEEE Transactions on Industrial Electronics Artificial IntelligenceFault DiagnosisElectrical EngineeringCondition MonitoringEngineering	2008	1.1K
Quantitative evaluation of induction motor broken bars by means of electrical signature analysis A. Bellini, F. Filippetti, G. Franceschini, IEEE Transactions on Industry Applications Fault DiagnosisCondition MonitoringInstantaneous TorqueEngineeringElectric Machine	2001	479
AI techniques in induction machines diagnosis including the speed ripple effect F. Filippetti, G. Franceschini, C. Tassoni, IEEE Transactions on Industry Applications Artificial IntelligenceFault DiagnosisCondition MonitoringFuzzy LogicSpeed Ripple Effect	1998	437
Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review Mohammad Rezazadeh Mehrjou, Norman Mariun, Mohammad Hamiruce Marhaban, Mechanical Systems and Signal Processing Fault DiagnosisCondition MonitoringEngineeringFault EstimationFault Analysis	2011	212
Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment Fengshou Gu, Yimin Shao, Niaoqing Hu, Mechanical Systems and Signal Processing Fault DiagnosisCondition MonitoringEngineeringFault DetectionDiagnosis	2010	144
Development of expert system knowledge base to on-line diagnosis of rotor electrical faults of induction motors F. Filippetti, Maurizio Martelli, G. Franceschini, Fault DiagnosisEngineeringDiagnosisFault ForecastingComplex Systems	2003	143
A new approach to detect broken rotor bars in induction machines by current spectrum analysis Gaëtan Didier, E. Ternisien, Olivier Caspary, Mechanical Systems and Signal Processing Fault DiagnosisCondition MonitoringInduction MachinesEngineeringBroken Rotor Bars	2006	108
Case histories of current signature analysis to detect faults in induction motor drives William T. Thomson, M. Fenger Fault DiagnosisCondition MonitoringEngineeringCurrent Signature AnalysisFault Estimation	2003	96
Diagnosis of broken-bars fault in induction machines using higher order spectral analysis Lotfi Saïdi, Farhat Fnaiech, H. Henao, ISA Transactions Fault DiagnosisCondition MonitoringReliability EngineeringInduction MachinesEngineering	2012	93
Using Current Signature Analysis Technology to Reliably Detect Cage Winding Defects in Squirrel Cage Induction Motors Ian Culbert, W.G. Rhodes ReliabilityFault DiagnosisCondition MonitoringReliability EngineeringEngineering	2006	78

Page 1