Concurrent Fault Prediction Based Multi-View Feature Embedding for Optical Transport Networks

We propose a concurrent multi-fault prediction method that effectively embeds multi-view fault features for complex OTNs. This method can concurrently predict 23 types of faults with a zero false negative rate in real-world scenarios.

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Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110040
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Concurrent Fault Prediction Based Multi-View Feature Embedding for Optical Transport Networks

Zhuming Bi, Danshi Wang, Jinbiao Xiong, Min Zhang et al.
Advanced Optical Network Technologies
article

Concurrent Fault Prediction Based Multi-View Feature Embedding for Optical Transport Networks

Zhuming Bi, Danshi Wang, Jinbiao Xiong, Min Zhang, Yanlin Fan, Chunyu Zhang, Xunjie Jiang, Weijie Yang
article en

Abstract

We propose a concurrent multi-fault prediction method that effectively embeds multi-view fault features for complex OTNs. This method can concurrently predict 23 types of faults with a zero false negative rate in real-world scenarios.

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Information Photonics and Optical Communications, China United Network Communications Group (China) (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 80%
Advanced Optical Network Technologies
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