Application of an Improved Dempster-Shafer Evidence Theory Based on Information Entropy and Evaluation Matrix to Fault Diagnosis

It is difficult to obtain scientific fault diagnosis based on single evidence.A multi-information fusion approach based on Dempster-Shafer evidence theory was put forward;however,the combination rules of D-S evidence theory is unreasonable to solve some combination.A new type of method was proposed to weight evidences combined information entropy with consistence of evaluation matrix in terms of different importance of evidences.Evidences were weighted and well adjusted.Evidences were fused based on combination formula of D-S evidence theory.Subjective and objective factors were wellconsidered during the process.Fusion results show that the new method has better performance in dealing with combinations,improves reliability,and decreases uncertainty of evidences.Diagnostic results were improved evidently.This new method had theoretical and practical application values.