Transformer-Based Prognostics: Enhancing Network Availability by Improved Monitoring of Optical Fiber Amplifiers
arXiv:2603.280810.6h-index: 2
AI Analysis
This addresses network reliability for telecom operators, but it is incremental as it applies an existing transformer architecture to a specific domain problem.
The paper tackles the problem of optical network reliability by developing a lightweight transformer model that predicts optical fiber amplifier lifetime from monitoring data, achieving real-time predictive maintenance at the edge to enhance availability.
We enhance optical network availability and reliability through a lightweight transformer model that predicts optical fiber amplifier lifetime from condition-based monitoring data, enabling real-time, edge-level predictive maintenance and advancing deployable AI for autonomous network operation.