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

Lei Huang

Lei Huang

School of Computer Science and Technology, Huaiyin Normal UniversityHuaian City, China
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Huang, Lei
, 
Hao Ren

Hao Ren

  • School of Automation, Chongqing UniversityChongqing City, China
  • Peng Cheng LaboratoryShenzhen City, China
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Ren, Hao
, 
Yi Chai

Yi Chai

  • School of Automation, Chongqing UniversityChongqing City, China
  • Key Laboratory of Complex System Safety and Control Ministry of EducationChongqing City, China
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Chai, Yi
 e 
Jianfeng Qu

Jianfeng Qu

  • School of Automation, Chongqing UniversityChongqing City, China
  • Key Laboratory of Complex System Safety and Control Ministry of EducationChongqing City, China
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Qu, Jianfeng
  
03 apr 2021
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Pubblicato online: 03 apr 2021
Pagine: 29 - 43
Ricevuto: 30 gen 2020
Accettato: 02 nov 2020
DOI: https://doi.org/10.34768/amcs-2021-0003
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© 2021 Lei Huang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Matematica, Matematica applicata
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