文章基本信息

标题：A Review on Convolutional Neural Network in Bearing Fault Diagnosis
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作者：N. Fathiah Waziralilah ; Aminudin Abu ; M. H Lim 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2019
卷号：255
DOI：10.1051/matecconf/201925506002
语种：English
出版社：EDP Sciences
摘要：As the degradation of bearing yield to an enormous adverse impact on machinery and the damage that comes within could jeopardize human precious life. Hence, the bearing fault diagnosis is indisputably indispensable. This paper is predominantly focused on the utilization of Convolutional Neural Network (CNN) in bearing fault diagnosis of the rolling bearing. By deployment of CNN, an accurate diagnosis can be achieved without the necessity of pre-training the data. The function of CNN in diagnosing the bearing and architecture development of CNN are discussed. Lastly, to establish new and significant contribution in this area, new challenges are pinpointed.