Vibration, temperature, pressure monitoring with edge analytics and real-time data streaming
Machine learning models for failure prediction, anomaly detection, and remaining useful life estimation
Automated work order generation, spare parts optimization, and scheduling
Virtual equipment models for simulation, optimization, and what-if analysis
Technician guidance, AR-assisted repairs, and knowledge base integration