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- Title
A data‐driven distributed fault diagnosis scheme for large‐scale systems based on correlation analysis.
- Authors
Li, Zhennan; Li, Linlin; Ding, Steven X.
- Abstract
This paper studies data‐driven distributed fault diagnosis for large‐scale systems using sensor networks. To be specific, a distributed fault detection scheme based on correlation analysis is first proposed to improve the fault detection performance by minimizing the impact of noise‐induced uncertainty. The core of the method is to implement the correlation of the coupled nodes to reduce the covariance of the residual signal in a distributed manner. Then, a fault localization approach is developed to locate the fault by measuring and comparing the degree of abnormality. A case study on Tennessee Eastman process is given in the end to demonstrate the proposed approach.
- Subjects
FAULT diagnosis; STATISTICAL correlation; SENSOR networks; DISTRIBUTED algorithms; FAULT location (Engineering)
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2024, Vol 18, Issue 2, p201
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/cth2.12550