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A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes

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Lei Huang
School of Computer Science and Technology Huaiyin Normal UniversityHuaian City, China
Hao Ren
School of Automation Chongqing UniversityChongqing City, China
Peng Cheng Laboratory, Shenzhen City, China
Yi Chai
School of Automation Chongqing UniversityChongqing City, China
Key Laboratory of Complex System Safety and Control Ministry of Education, Chongqing City, China
Jianfeng Qu
School of Automation Chongqing UniversityChongqing City, China
Key Laboratory of Complex System Safety and Control Ministry of Education, Chongqing City, China
eISSN:
2083-8492
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Mathematics, Applied Mathematics