This Article Full Text (OnlineFirst PDF) All Versions of this Article: 1077546309102665v1 15/7/1079    most recent Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Zhao, F. Articles by Li, X. Search for Related Content Social Bookmarking                         What's this?

Neuro-fuzzy Based Condition Prediction of Bearing Health

¹ State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China (email: fagang@sjtu.edu.cn)
² State Test Laboratory of Hangzhou, Bearing Testing & Research Center, Hangzhou, 310088, China

^* To whom correspondence should be addressed.

	Abstract

A reliable prognostic model is very useful for industries to forecast equipment behaviors. The aim of this research is to verify the effectiveness of the neuro-fuzzy model in predicting the health condition of bearings. Simulation and an experiment have been carried out to verify the model, with results showing that the neuro-fuzzy model is a reliable and robust forecasting tool, and more accurate than a radial basis function network. In the experiment, vibration data collected from the equipment is used to predict the future condition.

Key Words: Prediction, neuro-fuzzy, bearing vibration, RBF network.

First published on March 20, 2009, doi:10.1177/1077546309102665

Journal of Vibration and Control 2009;15:1079.

A more recent version of this article appeared on July 1, 2009


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?