@inproceedings{2d7363d28474472f841777cfccb92d1b,
title = "Adaptive stochastic resonance method for early fault detection of rotating machinery based on alpha stable distribution",
abstract = "This paper proposes an adaptive stochastic resonance (SR) method based on alpha stable distribution for early fault detection of rotating machinery. By analyzing the SR characteristic of the impact signal based on sliding windows, SR can improve the signal to noise ratio and is suitable for early fault detection of rotating machinery. Alpha stable distribution is an effective tool for characterizing impact signals, therefore parameter alpha can be used as the evaluating parameter of SR. Through simulation study, the effectiveness of the proposed method has been verified.",
keywords = "Alpha stable distribution, Sliding widows, Stochastic resonance",
author = "Gang Yu and Ye Chen",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.618.458",
language = "英语",
isbn = "9783038352044",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "458--462",
booktitle = "Materials, Machines and Development of Technologies for Industrial Production",
address = "瑞士",
note = "2014 International Conference on Advanced Nano-Technology and Biomedical Material, ANTBM 2014 ; Conference date: 29-06-2014 Through 30-06-2014",
}