Advance of Intelligent Fault Diagnosis for Complex System and Its Present Situation

The technology of intelligence fault diagnosis develops a new way for the reliability and safety of industrial systems, with the gradual complication of the equipment and function of system, which leads to more faults and loss, but , it can no longer meet all requirements of diagnosing fault complex systems by existing solitary and static means. According to the characteristics of complex systems, this paper analyses the characteristics and limitations of the existing fault diagnosis and integrated approaches based on rule, structure and behavior, case, fuzzy logic and neural network, points out the importance of machine learning to intelligent diagnosis system ,which is beneficial to change the mind in fault diagnosis, and discusses the main research directions of intelligent diagnosis system in the future.