Research on the Diagnosis Learning Technology Based on the Cooperative Evolution Mechanism

An intelligent fault diagnosis system has obtained much good effect in the practice, but, with the gradual complication in modern industry equipments and systems, it is more hard to quickly diagnose complicated or exceptional faults. For overcoming the diagnosis weakness of traditional fault diagnosis methods in the dynamic environment, a peculiar immune cooperative evolution is analyzed and researched, which is inspired by the mutual promotion and suppression phoneme among immune cells, a new kind of cooperative evolution strategy has been made to solve the cooperative diagnosis problem in complicated faults, its diagnosis work flow is discussed, and its certainty is also verified by some computer simulation at last.