Neural network monitoring system used for the frequency vibration prediction in gas turbine

Rotating machines are widely used in the industry; all these machines in operation produce vibrations phenomena caused by dynamic forces generated in moving parts of these equipments. This work propose the development of fault diagnosis system for the vibration detection and isolation based on artificial intelligence using artificial neural networks, applied to a gas turbine system, in order to secure the vibration frequency acquired by the sensors at bearings and then the prediction of the behavior of the turbine shaft. The obtained results are satisfactory and given the justification for the use of artificial neural networks for diagnosis of rotating machinery.