Abstract
This paper presents a new method which combines empirical mode decomposition (EMD) and support vector machine (SVM) together for bearing fault diagnosis in low speed-high load rotary machine. EMD is a novel self-adaptive method which is based on partial characters of the signal. Vibration signal measured from a defective rolling bearing is decomposed into a number of intrinsic mode functions (IMFs), with each IMF corresponding to a specific range of frequency components contained within the vibration signal. Then calculate the energy entropy mean of each IMF and normalization motor speed(RPM) to construct feature vector to train SVM classifiers. The results of application in simulation signal and practical bearing fault signal both show its efficiency.
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References
Yan, R., Gao, R.X.: Rotary Machine Health Diagnosis Based on Empirical Mode Decomposition. Journal of Vibration and Acoustics 130, 021007-1–021007-12 (2008)
Holm-Hansen, B.T., Gao, R.X.: Vibration Analysis of a Sensor Integrated Ball Bearing. ASME J. Vibr. Acoust. 122(5), 384–392 (2000)
Huang, N., Shen, Z., Long, S., Wu, M., Shih, H., Zheng, Q., Yen, N., Tung, C., Liu, H.: The empirical mode decomposition and the Hilbert spectrumfor nonlinear and non-stationary time series analysis. Proceeding of the Royal Society of London Series A-Mathematical Physical and Engineering Sciences 454, 903–995 (1998)
Yang, W.: Interpretation of mechanical signals using an improved Hilbert–Huang transform. Mechanical Systems and Signal Processing 22, 1061–1071 (2008)
Huang, P., Pan, Z., Qi, X., Lei, J.: Bearing Fault Diagnosis Based on EMD and PSD. In: Proceedings of the 8th World Congress on Intelligent Control and Automation, Jinan, China, July 6-9 (2010)
Chenga, J., Yua, D., Tangb, J., Yanga, Y.: Application of SVM and SVD technique based on EMD to the fault diagnosis of the rotating machinery. Shock and Vibration 16, 89–98 (2009)
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© 2011 Springer-Verlag Berlin Heidelberg
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Wei, D., Quan, L. (2011). A New Ball Bearing Fault Diagnosis Method Based on EMD and SVM. In: Lee, J. (eds) Advanced Electrical and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19712-3_53
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DOI: https://doi.org/10.1007/978-3-642-19712-3_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19711-6
Online ISBN: 978-3-642-19712-3
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