A Novel Fault Diagnosis Method for TE Process Based on Optimal Extreme Learning Machine

A Novel Fault Diagnosis Method for TE Process Based on Optimal Extreme Learning Machine

Chemical processes usually exhibit complex, high-dimensional and non-Gaussian characteristics, and the diagnosis of faults in chemical processes is particularly important. To address this problem, this paper proposes a novel fault diagnosis method based on the Bernoulli shift coyote optimization alg...

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Bibliographic Details
Main Authors: Xinyi Hu, Mingfei Hu, Xiaohui Yang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
modified coyote optimization algorithm
extreme learning machine
deep learning
chemical process
fault diagnosis
Online Access:https://www.mdpi.com/2076-3417/12/7/3388

Internet

https://www.mdpi.com/2076-3417/12/7/3388

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