@inproceedings{a9731f6f58e8429d983f801fcf48eebd,
title = "Adaptive wavelet filter based on fractional lower order moment for bearing fault diagnosis",
abstract = "Wavelet analysis has been widely used in signal denoising or transient signal detection due to its extraordinary time-frequency representation capability. Traditional approach on the selection of parameters for a adaptive wavelet filter was based on higher order statistics that only present limited statistical information about the bearing fault signals. An adaptive wavelet filter based on the Fractional Lower Order Moment (FLOM) of alpha stable distribution is proposed in this paper. The parameters of the Morlet wavelet filter are optimized based on the principle of maximization of FLOM. The diagnosis results based on the the simulated bearing fault signal with low signal to noise ration (SNR) demostrated the effectiveness of the proposed approach.",
keywords = "Adaptive wavelet analysis, Bearing diagnosis, Fractional lower order moment, Low SNR, Morlet wavelet, Stable distribution",
author = "Gang Yu and Xuefeng Zhang",
year = "2010",
doi = "10.1109/CISP.2010.5648013",
language = "英语",
isbn = "9781424465149",
series = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",
pages = "4006--4010",
booktitle = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",
note = "2010 3rd International Congress on Image and Signal Processing, CISP 2010 ; Conference date: 16-10-2010 Through 18-10-2010",
}