A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes
By:
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: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2021 Lei Huang, Hao Ren, Yi Chai, Jianfeng Qu, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.