Browse > Article
http://dx.doi.org/10.9708/jksci.2014.19.11.017

Bearing Faults Identification of an Induction Motor using Acoustic Emission Signals and Histogram Modeling  

Jang, Won-Chul (School of Electrical and Computer Engineering, University of Ulsan)
Seo, Jun-Sang (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.11, 2014 , pp. 17-24 More about this Journal
Abstract
This paper proposes a fault detection method for low-speed rolling element bearings of an induction motor using acoustic emission signals and histogram modeling. The proposed method performs envelop modeling of the histogram of normalized fault signals. It then extracts and selects significant features of each fault using partial autocorrelation coefficients and distance evaluation technique, respectively. Finally, using the extracted features as inputs, the support vector regression (SVR) classifies bearing's inner, outer, and roller faults. To obtain optimal classification performance, we evaluate the proposed method with varying an adjustable parameter of the Gaussian radial basis function of SVR from 0.01 to 1.0 and the number of features from 2 to 150. Experimental results show that the proposed fault identification method using 0.64-0.65 of the adjustable parameter and 75 features achieves 91% in classification performance and outperforms conventional fault diagnosis methods as well.
Keywords
bearing fault detection; induction motor; acoustic emission signals; partial correlation coefficients; histogram modeling; DET; SVR;
Citations & Related Records
Times Cited By KSCI : 4  (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 C.-H. Hwang, Y,-M. Kim, C.-H. Kim, J.-M. Kim, "Fault Detection and Diagnosis of Induction Motors using LPC and DTW Methods," Journal of the Korea Society of Computer and Information, Vol. 16, No. 3, pp. 141-147, 2011.   과학기술학회마을   DOI   ScienceOn
4 W. Jang, J. Kim "Bearing Multi-Faults Detection of an Induction Motor using Acoustic Emission Signals and Texture Analysis", Journal of the Korea Society of Computer and Information, Vol. 19, No. 4, pp. 55-62, 2014.   과학기술학회마을   DOI   ScienceOn
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 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
7 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
8 M. Kang, W. Jang, and J. Kim, "High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm", Journal of the Korea Society of Computer and Information, Vol. 19, No. 2, pp. 21-30, 2014.   과학기술학회마을   DOI   ScienceOn
9 B. Robert and J. Antoni, "Rolling Element Bearing Diagnostics", Mechanical System and Signal Processing, Vol. 25, No. 2, pp. 485-520, 2011.   DOI   ScienceOn
10 N. Baydar and A. Ball, "Detection of Gear Failures via Vibration and Acoustic Signals using Wavelet Transform", Mechanical System and Signal Processing, vol. 17, no. 4, pp. 787-804, 2003.   DOI   ScienceOn
11 H. E. Jeong, D. S. Gu, H. J. Kim, Tan. Andy, Y. H. Kim and B. K. Choi, "The Application of AE Transducer for the Bearing Condition Monitoring of Low-Speed Machine", KSNVE07S-09-03, 2007.
12 D. Wang, Q. Miao and R. Kang, "Robust Health Evaluation of Gearbox Subject to Tooth Failure with Wavelet Decomposition", Journal of Sound and Vibration, vol. 324, pp. 1141-1157, 2009.   DOI   ScienceOn
13 Yaguo Lei, Zhengjia He, Yanyang Zi, Qiao Hu, "Fault Diagnosis of Rotating Machinery based on Multiple ANFIS Combination with GAs", Mechanical Systems and Signal Processing 21, pp. 2280-2294, 2007.   DOI   ScienceOn
14 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," Journal of Mechanical Engineering, Vol. 57, No. 9, pp. 655-666, 2011.   DOI
15 A.J. Smola, B. Scholkopf, "A Tutorial on Support Vector Regression", Statistics and Computing 14, pp. 199-222, 2004.   DOI
16 C. Shen, D. Wang, F. Kong, P. W. Tse, "Fault Diagnosis of Rotating Machinery based on the Statistical Parameters of Wavelet Packet Paving and a Generic Support Vector Regressive Classifier", Journal of the International Measurement Confederation 46, pp. 1551-1564, 2013.   DOI