A FAULT DETECTION METHOD BASED ON STACKING THE SAE-SRBM FOR NONSTATIONARY AND STATIONARY HYBRID PROCESSES

Huang, L; Ren, H; Chai, Y; Qu, J

Ren, H (corresponding author), Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China.; Ren, H (corresponding author), Peng Cheng Lab, Shenzhen 518000, Guangdong, Peoples R China.

INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2021; 31 (1): 29

Abstract

This paper proposes a fault detection method by extracting nonlinear features for nonstationary and stationary hybrid industrial processes. The method......

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