A Review of Methodologies Used for Fault Diagnosis of Gearbox

Abstract:

A review of methods used for fault recognition of the rolling elements in gearbox, namely gear and bearing, is presented in this paper. The procedure of the fault recognition can be classified into three phases, which are data acquisition, data processing or important features extraction, and the fault mode detection. Many different methods have been developed in dealing with each phase, so that the arrangement of the entire process has different strategies. This paper summarizes some general used and recently popular developed methods of each phase, and makes comparison between them. This work also aims at giving a perspective in such area in the future, based on the known researches.

• Periodical: Applied Mechanics and Materials (Volume 415)
• Pages: 510-514
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.415.510
• Online since: September 2013
• Authors: Zhen Yu Han, Yu Long Liu, Hong Yu Jin, Hong Ya Fu
• Keywords: Artificial Intelligence (AI), Data Processing, Fault Diagnosis, Gearbox, Sampling Methods

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