@inproceedings{60b8ff8c0cc94ab0b6a9553ca0d84700,
title = "Research on extraction technology of gear system failure diagnosis based on stochastic resonance",
abstract = "Vibration signals extracted from rotating parts of machineries carries lot many information with in them about the condition of the operating machine. Further processing of these raw vibration signatures measured at a convenient location of the machine unravels the condition of the component or assembly under study. Stochastic resonance system is a method for nonlinear system could transform part of the noise energy to the signal. Stochastic resonance method has an important role and significance in the weak fault signal detection. In this paper, according to the characteristics of the gear system failure signal, using the stochastic resonance system detects failure weak signal of the gear system to achieve fault diagnosis purposes.",
keywords = "Fault diagnosis, Stochastic resonance, Weak signal",
author = "Wentao Huang and Weijie Wang and Xuezeng Zhao and Peilu Niu and Yunfei Xue",
year = "2013",
doi = "10.2316/P.2013.799-094",
language = "英语",
isbn = "9780889869462",
series = "Proceedings of the 3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013",
pages = "47--52",
booktitle = "Proceedings of the 3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013",
note = "3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013 ; Conference date: 10-04-2013 Through 12-04-2013",
}