An intelligent bearing fault diagnosis system: A review

Rolling element bearing (REB) is a well-known component that most extensively used in the industry. They operate in extreme condition (high temperature, dirty environment) which may lead to unexpected failure after the certain operation. Faulty on bearing cause severe equipment damage, financial los...

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Bibliographic Details
Published inMATEC Web of Conferences Vol. 255; p. 6005
Main Authors Saufi, S.R., Ahmad, Z.A.B, Leong, M.S, Lim, M.H
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 2019
Subjects
Artificial intelligence
Fault diagnosis
High temperature
Machine learning
Roller bearings
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Summary:Rolling element bearing (REB) is a well-known component that most extensively used in the industry. They operate in extreme condition (high temperature, dirty environment) which may lead to unexpected failure after the certain operation. Faulty on bearing cause severe equipment damage, financial loss and threaten people's life. Development of proper fault diagnosis system of REB capable of preventing unexpected failure from occurs and maintain the machine work in the healthy state. Over a few decades, machine learning is introduced to provide a consistent fault diagnosis result. Hence, this paper reviewed the development of bearing diagnosis method using machine learning models.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201925506005