Multi-Block Fault Detection for Plant-Wide Dynamic Processes Based on Fault Sensitive Slow Features and Support Vector Data Description

Multi-Block Fault Detection for Plant-Wide Dynamic Processes Based on Fault Sensitive Slow Features and Support Vector Data Description

This study proposes a multi-block fault detection method based on fault-sensitive slow features for large-scale dynamic industrial processes. Firstly, slow feature analysis (SFA) can effectively extract the process dynamic information. However, the slowest changing features may not contain more faul...

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Bibliographic Details
Main Authors: Chao Zhai, Xiaochen Sheng, Weili Xiong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-block strategy
slow feature analysis
fault sensitivity coefficient
support vector data description
fault detection
Online Access:https://ieeexplore.ieee.org/document/9130672/

Internet

https://ieeexplore.ieee.org/document/9130672/

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