
This article proposes a federated prognostic model that allows multiple users to jointly construct a failure time prediction model using their multi-stream, high-dimensional, and incomplete sensor data while keeping each user's data local and confidential.


coremsg

federated-prognostic-model-for-predicting-failure-times-using-multi-stream-incomplete-sensor-data


Federated Prognostic Model for Predicting Failure Times Using Multi-Stream Incomplete Sensor Data


title_rewrite


A mix-up domain adaptation (MDAN) method is proposed to generalize a predictive model from a labeled source domain to an unlabeled target domain for dynamic remaining useful life (RUL) predictions.


mixup-domain-adaptation-for-dynamic-remaining-useful-life-predictions


Mixup Domain Adaptation for Dynamic Remaining Useful Life Predictions
