Browse > Article
http://dx.doi.org/10.9708/jksci.2014.19.4.055

Bearing Multi-Faults Detection of an Induction Motor using Acoustic Emission Signals and Texture Analysis  

Jang, Won-Chul (School of Electrical and Computer Engineering, University of Ulsan)
Kim, Jong-Myon (School of Electrical and Computer Engineering, University of Ulsan)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.4, 2014 , pp. 55-62 More about this Journal
Abstract
This paper proposes a fault detection method utilizing converted images of acoustic emission signals and texture analysis for identifying bearing's multi-faults which frequently occur in an induction motor. The proposed method analyzes three texture features from the converted images of multi-faults: multi-faults image's entropy, homogeneity, and energy. These extracted features are then used as inputs of a fuzzy-ARTMAP to identify each multi-fault including outer-inner, inner-roller, and outer-roller. The experimental results using ten times trials indicate that the proposed method achieves 100% accuracy in the fault classification.
Keywords
Multi-fault detection; induction motor; acoustic emission signals; gray-level co-occurrence matrix; texture analysis; fuzzy ARTMAP;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 K. Shahzad, P. Cheng, and B. Oelmann, "Architecture Exploration for a High-Performance and Low-Power Wireless Vibration Analyzer", IEEE Sensors Journal, Vol. 13, No. 2, pp. 670-682, February 2013.   DOI   ScienceOn
2 C.-H. Hwang, M. Kang, J.-M. Kim, "A Study on Robust Feature Vector Extraction for Fault Detection and Classification of Induction Motor in Noise Circumstance," Journal of the Korea Society of Computer and Information, Vol. 16, No. 12, pp. 187-196, 2011.   과학기술학회마을   DOI   ScienceOn
3 S. Lu, Q. He, F. Hu, and F. Kong, "Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System", IEEE Transactions on Instrumentation and Measurement, Vol. 63, No. 1, pp. 106-116, Jan. 2014.   DOI   ScienceOn
4 C.-H. Hwang, Y,-M. Kim, C.-H. Kim, J.-M. Kim, "Fault Detection and Diagnosis of Induction Motors using LPC and DTWMethods," Journal of the Korea Society of Computer and Information, Vol. 16, No. 3, pp. 141-147, 2011.
5 M. Deriche, "Bearing Fault Diagnosis Using Wavelet Analysis," International Conference on Computers, Communication and Signal Processing with Special Track on Biomedical Engineering, pp. 197-201, 2005.
6 X. Jin, M. Zhao, T.W.S. Chow, and M. Pecht, "Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis", IEEE Transaction on Industrial Electronics, Vol. 61, No. 5, pp. 2441-2451, May 2014.   DOI   ScienceOn
7 T. H. Loutas, D. Roulias, and G. Georgoulas, "Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression", IEEE Transactions on Reliability, Vol. 62, No. 4, pp. 821-832, Dec. 2013.   DOI   ScienceOn
8 V. T. Do and U. P. Chong, "Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain," J. Mech. Eng., Vol. 57, No. 9, pp. 655-666, 2011.   DOI
9 R. M. Haralick, K. Shanmugam, and Its Hak Dinstein, "Textural Features for Image Classification", IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-3, No. 6, pp. 610-621, Nov. 1973.   DOI
10 G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynolds, and D. B. Rosen, "Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps", IEEE Trans. Neural Networks, Vol 3, No. 5, pp. 698-713, Sep. 1992.   DOI   ScienceOn
11 Do, V. T. and Chong, U.-P., "Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain," Journal of Mechanical Engineering, Vol. 57, No. 9, pp. 655-666, 2011.   DOI
12 W. Zhou, B. Lu, T. G. Habetler, and R. G. Harley, "Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter", IEEE Transactions on Industry Applications, Vol. 45, No. 4, pp. 1309-1317, July 2009.   DOI   ScienceOn