Intelligent monitoring and diagnostics for plant automation

A approach is proposed for the design and implementation of an intelligent monitoring and diagnostic system for a cogenerator plant. The approach is based on multiple-aspect modeling and model interpretation: sensory input signals from the plant are processed and interpreted in the context of various models of the cogenerator system. Experiences obtained during the development and the field test of the system have proved that the approach is viable even in real-time applications and results in considerable improvement in software technology.<<ETX>>