Study on fault diagnosis algorithm based on artificiall immune danger theory

In order to improve precision of fault diagnosis which based on artificial immune system, a kind of fault diagnosis algorithm based on immune danger theory was presented. The algorithm can make judgment according to whether existing danger signals and reduce false rate. The algorithm also can adjust databases online. The algorithm was applied to automobile axle driving fault diagnosis. the result shows that 6% normal axle drivings are judged as abnormal axle drivings, 4% abnormal axle drivings are judged as normal axle drivings. Compared with testing result of advanced negative selection algorithm which based on self-nonself recognition, the fault diagnosis algorithm based on artificial immune danger theory result has a lower false rate.