Multi-source sensors are adopted to realize real-time condition monitoring of critical auxiliary equipment. A closed-loop technical chain of “Perception-Diagnosis-Prediction-Decision-making” is established to implement condition prediction and health management for auxiliary equipment. It reduces the full-life-cycle cost of equipment and enhances the intrinsic safety of locomotive operation.
Application Scenarios: “Perception-Diagnosis-Prediction-Decision-making” scenarios for key equipment of rail-vehicle auxiliary systems.
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