Fault detection and accommodation by means of neural networks. Application to the boiler unit

The work presented in this paper deals with a fault tolerant control system designed for a boiler unit. The main core of the proposed system is the so-called on-line fault approximator built using locally recurrent neural networks. The on-line stable training of the fault approximator is developed for monitoring of the controlled system. The obtained fault estimator is then used for the fault detection as well as for the fault accommodation. Computer experiments illustrate the performance of the proposed system for a boiler unit.