A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes
By: Lei Huang, Hao Ren, Yi Chai and Jianfeng Qu
Authors
Lei Huang
School of Computer Science and Technology, Huaiyin Normal University, Huaian City, China
Hao Ren
School of Automation, Chongqing University, Chongqing City, China
Peng Cheng Laboratory, Shenzhen City, China
Yi Chai
School of Automation, Chongqing University, Chongqing City, China
Key Laboratory of Complex System Safety and Control Ministry of Education, Chongqing City, China
Jianfeng Qu
School of Automation, Chongqing University, Chongqing City, China
Key Laboratory of Complex System Safety and Control Ministry of Education, Chongqing City, China
Language: English
Page range: 29 - 43
Submitted on: Jan 30, 2020
Accepted on: Nov 2, 2020
Published on: Apr 3, 2021
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
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© 2021 Lei Huang, Hao Ren, Yi Chai, Jianfeng Qu, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.