用轻量Transformer预测光放大器寿命，实现边缘实时维护。

Transformer-Based Prognostics: Enhancing Network Availability by Improved Monitoring of Optical Fiber Amplifiers

• 基于状态监测数据的轻量Transformer模型
• 可实时预测光放大器剩余寿命，提升网络可用性
• 适合需要自适应运维的通信网络部署

我们通过一种轻量级Transformer模型，从基于状态的监控数据中预测光缆放大器的使用寿命，实现边缘端的实时预测性维护，推动可部署人工智能在自主网络运营中的应用，显著提升光网络的可用性和可靠性。

原文摘要 · Abstract (English)

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.

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