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Matrix concatenation feature fusion-based multivariate time series anomaly detection and diagnosis algorithm in water treatment cyber-physical systems

Crossref DOI link: https://doi.org/10.1007/s13042-025-02913-5

Published Online: 2026-01-17

Published Print: 2026-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

He, Shiming

Feng, Keyao

Meng, Kaixuan

Guo, Meng

Liang, Diqing

Sharma, Pradip Kumar
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62272062)

Science and Technology Innovation Program of Hunan Province (2023RC3139)

Scientific Research Fund of Hunan Provincial Transportation Department (202143)
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Text and Data Mining valid from 2026-01-01

Version of Record valid from 2026-01-01
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Article History

Received: 25 December 2024

Accepted: 2 November 2025

First Online: 17 January 2026

Declarations

:

: The authors declare no Conflict of interest.

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