A contextual fusion model for vehicle predictive maintenance detects all six wear-driven events in real multi-country data with 12.2-day mean error and improves F1 by 2.6 points when context is added.
A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox,
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AI-Driven Predictive Maintenance with Environmental Context Integration for Connected Vehicles: Simulation, Benchmarking, and Field Validation
A contextual fusion model for vehicle predictive maintenance detects all six wear-driven events in real multi-country data with 12.2-day mean error and improves F1 by 2.6 points when context is added.