Table 8: The comparison of three methods in fault diagnosis.

MethodStrengthsWeaknesses

AIS [8, 9]AIS can deal with the problem that the solution of fault diagnosis is lack of fault samples; the reasonable antibody set could be obtained from normal specimens using this algorithm.This algorithm needs relatively large antibody set to ensure a higher detection rate, which leads to taking long time to generate detector and detect faults. In addition, the threshold value of the joint stress between antigen and antibody and the self radius is currently not well resolved. The designed threshold value has limitations for different faults
Evidence theory [10]D-S evidence theory has a strong ability of dealing with uncertain information, which can effectively improve the credibility of diagnosis and reduce diagnostic uncertainty.In the case of serious conflicting evidence, the result using the D-S evidence theory to fuse information directly does not agree with practice situation. The method of determining the reliability of evidence needs to be studied.
An integrated method using AIS and evidence theory presented in this paperThe integrated diagnostic technology uses more types of dimensionless immune detectors and decision-making systems of the evidence theory to detect fault; the excellent detector can be derived through multi-information fusion technology.There is a subjective, human element when assigning a weight to dimensionless immune detector. We need experience to deal with the weight.