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

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

International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 1 (March 2021)
By:
Open Access
|Apr 2021

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DOI: https://doi.org/10.34768/amcs-2021-0003 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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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
Keywords:
fault detection,
sparse auto-encoder,
sparse restricted Boltzmann machine,
hybrid industrial processes
Related subjects:
Mathematics,
Applied mathematics

© 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.

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