Vibration signal analysis for electrical fault detection of induction machine using neural networks

Neural Computing and Applications

Volumn 20, Issue 2, 2011, Pages 183-194

  Su, Hua ^a   Chong, Kil To ^b   Ravi Kumar, R ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Chonbuk National University   (South Korea)

Author keywords

Electrical fault detection; Induction motors; Neural network; Vibration signal

Indexed keywords

DAMAGE DETECTION; ELECTRIC FAULT LOCATION; ELECTRIC POWER SYSTEMS; FAULT DETECTION; INDUCTION MOTORS; SIGNAL ANALYSIS; VIBRATION ANALYSIS;

CONVENTIONAL METHODS; ELECTRICAL FAULT DETECTIONS; NEURAL NETWORK MODEL; OPERATIONAL EFFICIENCIES; SHORT TIME FOURIER TRANSFORMS; THREE PHASE INDUCTION MOTOR; VIBRATION SIGNAL; VIBRATION SIGNAL ANALYSIS;

NEURAL NETWORKS;

EID: 79951769436     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-010-0512-3     Document Type: Article

References (18)

1. Singh GK, Al Kazzaz SAS (2003) Induction machine drive condition monitoring and diagnostic research-a survey. Electr Power Syst Res 64: 145-158.
2. Liang B, Iwnicki SD, Ball AD (2003) Asymmetrical stator and rotor faulty detection using vibration, phase current and transient speed analysis. Mech Syst Signal Process 17(4): 857-869.
3. Thompson WT (2009) On-line motor current signature analysis prevents premature failure of large induction motor drives. Maint Asset Manage 24(3): 30-35.
4. Pillay P, Xu Z (1996) Motor current signature analysis. Industry applications conference. Thirty-first IAS annual meeting IAS '96, vol 1, pp 587-594.
5. Munoz RA, Nahmias CG (1994) Mechanical vibration of three-phase induction motors fed by nonsinusoidal currents. Proceeding of the international power electronics congress, pp 166-172.
6. Zamarron A, Arjona MA (2010) Detection of stator-winding turn-to-turn faults in induction motors, based on virtual instrumentation. Int J Elect Eng Educ 47(1): 63-72.
7. Riley CM, Lin BK, Habetler GT, Schoen RR (1998) A method for sensorless on-line vibration monitoring of induction machines. IEEE Trans Ind Appl 34: 1240-1245.
8. Lagan PA (1999) Vibration monitoring. Proceedings of the IEE colloquium on understanding your condition monitoring, pp 1-11.
9. Singh GK, Ahmed SAKS (2004) Vibration signal analysis using wavelet transform for isolation and identification of electrical faults in induction machine. Electr Power Syst Res 68: 119-136.
10. Hewlett P (1997) Effective machinery measurement using dynamic signal analyzers. Application note, pp 243-1.
11. Betta G, Liguori C, Paolillo A, Pietrosanto A (2002) A DSP-based FFT-analyzer for the fault diagnosis of rotating machine based on vibration analysis. IEEE Trans Instrum Meas 51(6): 1316-1322.
12. Atiya AF, Palos AG (2000) New results on recurrent network training: unifying the algorithms and accelerating convergence. IEEE Trans Neural Netw 13: 765-786.
13. Tavner PJ, Penman J (1987) Condition monitoring of electrical machines. Research Studies Press, Letchworth.
14. Kim K, Parlos AG (2003) Reducing the impact of false alarms in induction motor fault diagnosis. ASME J Dyn Syst Meas Control 125: 80-95.
15. Kim K, Parlos AG (2002) Model-based fault diagnosis of induction motors using non-stationary signal segmentation. Mech Syst Signal Process 16: 223-253.
16. Mohanti N (1987) Signal processing signal filtering detection. van Nostrand Reinhold, New York.
17. Gao XZ, Ovaska SJ (2000) Motor fault detection using Elman neural network with genetic algorithm-aided training. 2000 IEEE international conference in systems, man, and cybernetics, vol 4, pp 2386-2392.
18. Norgaard M, Ravn O, Poulsen KN, Hansen KL (2000) Neural networks for modeling and control of dynamic systems. Springer, London.