Fault Detection of Gas Unit of Gilan Combined Cycle Power Plant Using Neural Network

Fault detection is one of the most important and challenging issues in engineering application. In this article fault detection of Gilan combined cycle power plant is investigated. To do so two neural network structures are applied. The first neural network is trained by Kalman Filter and The second one is NARX network which is trained by levenberg-marquardt method. The obtained results show that the neural network has a great capability in fault detection

کلیدواژه ها:

Fault detection ، Kalman Filter ، combined cycle power plant ، NARX