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This program is revised on 25/03/2021, created by Zhiwen Chen. @ Central South University
the aim is to demostrate the standard steps of distributed CCA to solve a toy problem.
The disCCA algorithm has been published:
Z. W. Chen, Y. Cao, Steven X. Ding, K. Zhang, T. Koenings, et al., A Distributed Canonical Correlation
Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring.
IEEE Transactions on Industrial Informatics, 2019, 15(5): 2710-2720.】
This is a joint work from Central South University, University of Duisburg-Essen and University of Science and Technology Beijing.
My email is zhiwen.chen@csu.edu.cn. If you have any questions, please feel free to contact me.
Cite As
Zhiwen Chen (2026). Distributed CCA-based Fault detection method (https://ch.mathworks.com/matlabcentral/fileexchange/89278-distributed-cca-based-fault-detection-method), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (4.38 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
