Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks

arXiv:2404.02304v1 Announce Type: new
Abstract: Accurate bearing load monitoring is essential for their Prognostics and Health Management (PHM), enabling damage assessment, wear prediction, and proactive maintenance. While bearing sensors are typically placed on the bearing housing, direct load monitoring requires sensors inside the bearing itself. Recently introduced sensor rollers enable direct bearing load monitoring but are constrained by their battery life. Data-driven virtual sensors can learn from sensor roller data collected during a batterys lifetime to map operating conditions to …

abstract arxiv assessment cs.ai cs.et cs.lg enabling graph graph neural networks health housing inside maintenance management monitoring networks neural networks prediction real-time sensor sensors temporal type virtual