A data mining approach for fault diagnosis: An application of anomaly detection algorithm

Author:

Purarjomandlangrudi Afrooz,Ghapanchi Amir Hossein,Esmalifalak Mohammad

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference31 articles.

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3. S. Fang, W. Zijie, Rolling bearing fault diagnosis based on wavelet packet and RBF neural network, in: Control Conference, 2007. CCC 2007, Chinese, 2007, pp. 451–455.

4. “Research on SVM Classification Performance in Rolling Bearing Diagnosis”, in Intelligent Computation Technology and Automation (ICICTA);Meng;International Conference on,2010

5. Rolling bearing fault diagnostics using artificial neural networks based on Laplace wavelet analysis;Al-Raheem;Int. J. Eng. Sci. Technol.,2010

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