Anomaly detection for telecom aerial optical cables with variational
Our proposal achieved 86.4 % accuracy in detecting anomalies in an evaluation of actual 22 cable failures consisting of “cable detachment from hangers”, “tree contact” and “support wire failure”; the 3
Anomaly Diagnosis Using Machine Learning Method in Fiber Fault
In contemporary society, rapid and accurate optical cable fault detection is of paramount importance for ensuring the stability and reliability of optical networks. The emergence of novel faults in optical
Detection of anomalous activities around telecommunications
This study explores the deployment of YOLOv8s for detecting anomalies in fiber optic cables mounted on poles, with a focus on climbing activities and environmental impediments.
ML-based Anomaly Detection in Optical Fiber Monitoring
Secure and reliable data communication in optical networks is critical for high-speed internet. We propose a data driven approach for the anomaly detection and faults identification in optical networks
Anomaly Detection and Root Cause Analysis in Cable Broadband
Using diagnostic datasets from both hybrid fibre-coaxial (HFC) and fibre optic networks, the thesis explores the technical and practical limitations of fault detection systems in low-data regimes.
Optimizing Optical Fiber Faults Detection: A
To keep safe and secure fiber optics cables, this research proposed the six ML models (GNB, LR, SVM, KNN, RF, DT) and three EL-based ML models (Bagging, Boosting, and Voting) and
Fiber Optics handling
The fiber optic cables provide protection to the fiber optic waveguides. How-ever, this is not enough if a correct handling procedure is not followed. Due to the low-profile construction, the connections must
Abnormal handling mechanism and improvement measures of optical
ABSTRACT An optical DC current transformer anomaly handling mechanism is proposed to address the problem that the conventional DC current transformer anomaly handling mechanism cannot
Fractional-order neural network for detecting process
This study proposed an FD-LSTM-based approach FD-LSTM model integrating fractional order derivatives to enhance anomaly detection in fiber optic cable manufacturing.
Vision Transformers for Anomaly Classification and Localization in
Monitoring the state of polarization (SOP) in optical communication networks is vital for maintaining network reliability and performance. SOP data, influenced by environmental factors,
Machine learning for anomaly states recognition in cable joints: a
Nevertheless, the systematic integration of multi-dimensional datasets for comprehensive cable joint anomaly recognition under practical operating conditions remains a critical
Top 10 Common Fibre Optic Cable Installation Mistakes and How to
Fibre optic cable installation is a precise task that requires careful attention to detail. Even minor mistakes can lead to significant performance issues, increased maintenance costs, and
Essential Precautions for the Transport and Handling of Optical Fiber
The transport and handling of optical fiber cables are stages that require attention and care, especially due to the fact that the cables contain glass fibers in their cores, which are
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