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

장원철; 서준상; Jong Myon Kim

This paper proposes a fault detection method for low-speed rolling element bearings of an inductionmotor using acoustic emission signals and histogram modeling. The proposed method performs envelopmodeling of the histogram of normalized fault signals. It then extracts and selects significant features ofeach 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 methodwith varying an adjustable parameter of the Gaussian radial basis function of SVR from 0.01 to 1.0 and thenumber of features from 2 to 150. Experimental results show that the proposed fault identification methodusing 0.64-0.65 of the adjustable parameter and 75 features achieves 91% in classification performanceand outperforms conventional fault diagnosis methods as well.

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

[journal] K. Shahzad / 2013 / Architecture Exploration for a High-Performance and Low-Power Wireless Vibration Analyzer / IEEE Sensors Journal 13(2) : 670~682

[journal] 황철희 / 2011 / A Study on Robust Feature Vector Extraction for Fault Detection and Classification of Induction Motor in Noise Circumstance / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 16(12) : 187~196

[journal] 황철희 / 2011 / Fault Detection and Diagnosis of Induction Motors using LPC and DTW Methods / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 16(3) : 141~148

[confproc] M. Deriche / 2005 / Bearing Fault Diagnosis Using Wavelet Analysis / International Conference on Computers, Communication and Signal Processing with Special Track on Biomedical Engineering : 197~201

[journal] W. Zhou / 2009 / Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter / IEEE Transactions on Industry Applications 45(4) : 1309~1317

[journal] S. Lu / 2014 / Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System / IEEE Transactions on Instrumentation and Measurement 63(1) : 106~116

[journal] 장원철 / 2014 / Bearing Multi-Faults Detection of an Induction Motor using Acoustic Emission Signals and Texture Analysis / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 19(4) : 55~62

[journal] 강명수 / 2014 / High-Reliable Classification of Multiple Induction Motor Faults using Robust Vibration Signatures in Noisy Environments based on a LPC Analysis and an EM Algorithm / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 19(2) : 21~30

[journal] B. Robert / 2011 / Rolling Element Bearing Diagnostics / Mechanical System and Signal Processing 25(2) : 485~520

[journal] N. Baydar / 2003 / Detection of Gear Failures via Vibration and Acoustic Signals using Wavelet Transform / Mechanical System and Signal Processing 17(4) : 787~804

[report] H. E. Jeong / 2007 / The Application of AE　Transducer for the Bearing Condition Monitoring of Low-Speed Machine / KSNVE

[journal] D. Wang / 2009 / Robust Health Evaluation of Gearbox Subject to Tooth Failure with Wavelet Decomposition / Journal of Sound and Vibration 324 : 1141~1157

[journal] Yaguo Lei / 2007 / Fault Diagnosis of Rotating Machinery based on Multiple ANFIS Combination with GAs / Mechanical Systems and Signal Processing 21 : 2280~2294

[journal] A. J. Smola / 2004 / A Tutorial on Support Vector Regression / Statistics and Computing 14 : 199~222

[journal] C. Shen / 2013 / 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 : 1551~1564

[journal] V. T. Do / 2011 / Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain / Journal of Mechanical Engineering 57(9) : 655~666

이 논문은 한국연구재단의 지원을 받아 작성되었습니다.

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