On the use of DPCA in process fault detection and identification-Reference-Cited by-同舟云学术

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On the use of DPCA in process fault detection and identification

Published:2024-05-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Control, Automation and Diagnosis (ICCAD)
language:
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Author:

Guerfel Mohamed¹,Messaoud Hassani²

Affiliation:

1. University of Sousse,Higher Institute of Applied Sciences and Technology of Sousse,Electronics Department,Sousse,Tunisia

2. University of Monastir,Laboratory of Automatic Control, Signal and Image Processing (LARATSI) National Engineering School of Monastir,Monastir,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553373/10553653/10553692.pdf?arnumber=10553692

Reference18 articles.

1. An enhanced DPCA fault diagnosis method based on hierarchical cluster analysis

2. New Dynamic Predictive Monitoring Schemes Based on Dynamic Latent Variable Models

3. Modeling in the observable or latent space? A comparison of dynamic latent variable based monitoring methods for sensor fault detection

4. Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points

5. Review on data-driven modeling and monitoring for plant-wide industrial processes

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