Application of an improved kurtogram method for fault diagnosis of rolling element bearings

Author:

Lei Yaguo,Lin Jing,He Zhengjia,Zi Yanyang

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference16 articles.

1. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs;Lei;Mechanical Systems and Signal Processing,2007

2. Artificial neural network based fault diagnostics of rolling element bearings using time-domain features;Samanta;Mechanical Systems and Signal Processing,2003

3. D.F. Dwyer, Detection of non-Gaussian signals by frequency domain kurtosis estimation, in: Proceedings of the International Conference on Acoustic, Speech, and Signal Processing, Boston 1984, pp. 607–610.

4. The spectral kurtosis: a useful tool for characterizing non-stationary signals;Antoni;Mechanical Systems and Signal Processing,2006

5. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines;Antoni;Mechanical Systems and Signal Processing,2006

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