Intelligent prediction monitoring system for predictive maintenance in manufacturing

This paper presents an intelligent prediction and monitoring system for equipment failure prediction to support equipment maintenance, diagnostics and prognostics in manufacturing environment. The system architecture and implementation techniques, such as agent framework, real-time data acquisition and federated communication are briefly described. Details are given on the intelligent prediction engine which is the key component of the system. A case study for machining tool useful lifetime prediction is presented to demonstrate the usability of the system.