Abstract
An on-line process monitoring system is essential to be an integral part of any power plant control system. Model-based methods of fault detection were developed by using input and output signals and applying dynamic process models. The task is to generate symptoms indicating the difference between nominal and faulty status. It will follow fault diagnosis procedures, determining the fault.
Cuvinte cheie
Power plant
maintenance
model based fault diagnosis
fault detection an isolation