Multi‐block gated recurrent unit network‐based fault diagnosis method for multivariate nonlinear process-Reference-Cited by-同舟云学术

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Multi‐block gated recurrent unit network‐based fault diagnosis method for multivariate nonlinear process

Published:2023-01-23 Issue: Volume: Page:
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

Tang Quanqin¹,Shi Hongbo¹,Tan Shuai¹,Song Bing¹,Tao Yang¹

Affiliation:

1. The Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education East China University of Science and Technology Shanghai China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24770

Reference42 articles.

1. Overview on hybrid approaches to fault detection and diagnosis: Combining data-driven, physics-based and knowledge-based models

2. Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA

3. Semiparametric PCA and bayesian network based process fault diagnosis technique

4. Novel fault subspace extraction methods for the reconstruction-based fault diagnosis

5. Online reduced kernel PLS combined with GLRT for fault detection in chemical systems

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