文献类型：期刊文献

英文题名：A Fault-Targeted Gated Recurrent Unit-Canonical Correlation Analysis Method for Incipient Fault Detection

作者：Song, Bing[1];Zheng, Chengfeng[1];Jin, Yuting[1];Shi, Hongbo[1];Tao, Yang[1];Tan, Shuai[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2024

卷号：20

期号：6

起止页码：8739

外文期刊名：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

收录：;EI(收录号：20241415849088);WOS:【SCI-EXPANDED(收录号:WOS:001193830400001)】；

基金：No Statement Available

语种：英文

外文关键词：Feature extraction; Fault detection; Training; Logic gates; Data models; Monitoring; Correlation; Canonical correlation analysis; fault detection; gated recurrent unit; incipient fault; multitier monitoring strategy

摘要：To solve the problem of incipient fault detection, a fault targeted gated recurrent unit-canonical correlation analysis (CCA) method is proposed. First, this article proposed fault targeted gated recurrent unit (FTGRU) to establish a temporal feature extraction model. The features extracted by FTGRU are more sensitive to the incipient faults, thus increasing the accuracy of the fault detection model. Then, a fault detection model is established by CCA method. In addition, in order to ensure the universality of the detection model, a multilayer fault detection strategy is proposed. At the first layer, the basic CCA model is used. When no fault is detected at this layer, the second layer fault detection method is enabled. In the second layer, the proposed FTGRU-CCA method is used. Finally, the proposed method and detection strategy are validated by two different industrial cases.