2Ho D, Randall R B. Optimisation of bearing diagnostic techniques using simulated and actual bearing fault signals[ J ]. Mechanical Systems and Signal Processing, 2000, 14(5) : 763 -788.
3Dwyer R F. Detection of non-gaussian signals by frequency domain kurtosis estimation [ C ]. Int. Conf. on Acoustic, Speech, and Signal Processing, Boston 1983:607 -610.
4Antoni J. The spectral kurtosis: a useful tool for characterizing non-stationary signals [ J ]. Mechanical Systems and Signal Processing, 2006, 20(2): 282-307.
5Antoni J. Fast computation of kurtogram for the detection of transient faults [ J ]. Mechanical Systems and Signal Processing, 2007, 21 : 108 - 124.
6Antoni J, Randall R B. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines [ J]. Mechanical Systems and Signal Processing, 2006, 20 (2) : 308 -331.
7Narayanan A, Moore M. Quantum-inspired genetic algorithms [ C ]. Proceedings of IEEE International Conference on Evolutionary Computation. Nagoya, Japan, 1996:61 - 66.
8Ocak H, Loparo K A. HMM-based fault detection and diagnosis scheme for rolling element bearings [ J ]. Journal of Vibration and Acoustics, 2005, 127:299 - 306.
