Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction
用于多模式故障预测的多传感器与故障事件贝叶斯联合模型
Modern industrial systems are often subject to multiple failure modes, and their conditions are monitored by multiple sensors, generating multiple time-series signals. Additionally, time-to-failure data are commonly available. Accurately predicting a system's remaining useful life (RUL) requires effectively leveraging multi-sensor time-series data alongside multi-mode failure event data. In most existing models, failure modes and RUL prediction are performed independently,…