Research on the application analysis technology for cooperative fault diagnosis

As a kind of applied AI systems in the fault diagnosis domain, an intelligent fault diagnosis system has obtained much good effect in the practice, but, with the gradual complication from modern industry equipments and systems, it is more difficult to accurately and quickly diagnose complicated or exceptional faults. For improving the accurate rate of fault diagnosis methods, and overcoming the diagnosis weakness in the dynamic environment, inspired by the mutual promotion and suppression phoneme among immune cells, an immune diagnosis frame is constructed, some cooperative evolution patterns are defined and analyzed, an applied immune cooperative diagnosis mechanism and its work flow have been put forward to solving the cooperative diagnosis problem in complicated faults, its certainty is initially verified by some computer simulation at last.