文献类型：期刊文献

英文题名：Rolling Bearing Fault Diagnosis Under Different Severity Based on Statistics Detection Index and Canonical Discriminant Analysis

作者：Song, Xuewei[1,2,3];Liao, Zhiqiang[1,2,3];Jia, Baozhu[1,2,3];Kong, Defeng[1,2,3];Niu, Jinzhang[1,2]

机构：[1]Guangdong Ocean Univ, Naval Architecture & Shipping Coll, Zhanjiang 524088, Peoples R China;[2]Tech Res Ctr Ship Intelligence & Safety Engn Guan, Zhanjiang 524088, Peoples R China;[3]Guangdong Prov Key Lab Intelligent Equipment Sout, Zhanjiang 524088, Peoples R China

年份：2023

卷号：11

起止页码：86686

外文期刊名：IEEE ACCESS

收录：SCI-EXPANDED(收录号：WOS:001051666300001)、、EI(收录号：20233414601023)、Scopus(收录号：2-s2.0-85168272259)、WOS

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 52201355 and Grant 52071090, and in part by the Program for Scientific Research Start-Up Funds of Guangdong Ocean University.

语种：英文

外文关键词：Bearing fault diagnosis; canonical discriminant analysis; statistics detection index; symptom parameter selection

外文摘要：Bearing failures are the most frequent causes of breakdowns in rotating machinery. Different levels of severity in these failures exhibit distinct fault characteristics in the vibration signal. This paper presents a bearing fault diagnosis method that considers different severity levels, involving the selection of statistics detection index symptom parameter and the application of canonical discriminant analysis (CDA). Initially, kurtosis is employed to detect abnormalities in the bearing. Subsequently, statistical analysis theory is utilized to extract efficient symptom parameters from the time domain and frequency domain vibration signals. As a statistical analysis method, CDA can discriminate between different signals by maximizing the between-group difference and minimizing the inter-group difference. By analyzing the distribution of CDA canonical scores, bearing faults can be intuitively diagnosed. The proposed method is validated using vibration signals obtained from an experimental bench with three different bearing conditions (normal, inner race fault, outer race fault) exhibiting varying severity levels. The results demonstrate the effectiveness and feasibility of diagnosing faults under different severity levels.