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

DOI10.34768/amcs-2021-0003zbMath1469.93046OpenAlexW3174731026MaRDI QIDQ2042977

Jianfeng Qu, Lei Huang, Yi Chai, Hao Ren

Publication date: 22 July 2021

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doaj.org/article/e3720c41b12140488f2a0613b904c2b8

zbMATH Keywords

fault detectionhybrid industrial processessparse auto-encodersparse restricted Boltzmann machine

Mathematics Subject Classification ID

Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30) Controllability, observability, and system structure (93B99)

Related Items (1)

On some ways to implement state-multiplicative fault detection in discrete-time linear systems

Cites Work

• Multi-criteria improvement of complex systems
• From structural analysis to observer-based residual generation for fault detection
• An adaptive identification method based on the modulating functions technique and exact state observers for modeling and simulation of a nonlinear MISO glass melting process
• Fault diagnosis in nonlinear hybrid systems
• Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
• Co-Integration and Error Correction: Representation, Estimation, and Testing
• Learning representations by back-propagating errors

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