Advances in applications of hybrid intelligent fault diagnosis and prognosis technique

In order to implement condition monitoring and fault diagnosis for large-scale, complex and key mechanical equipment effectively, hybrid intelligent fault diagnosis and prognosis technique by synthesizing and utilizing multiple artificial intelligent techniques and advanced signal processing methods, has been given high regard and studied widely by inland and overseas researchers. Based on investigating a good deal of relevant literatures, the extensive concept of the hybrid intelligent fault diagnosis and prognosis technique was introduced, the inland and overseas state-of-the art was reviewed, and the problems existing in present studies were also analyzed and pointed out. Finally, aiming at the state-of-the art and existing problems, the development trends of the hybrid intelligent fault diagnosis and prognosis technique were discussed.