Fault Diagnosis Technology of Software-Intensive Equipment Based on Information Fusion

Aiming at limitations of the current fault diagnosis of the software-intensive equipment (SIE), this paper presents a method of fault diagnosis for software-intensive equipment based on information fusion technology. The multi-resource fusion diagnosis structure and the fusion arithmetic are detailed in this paper. The method establishes system structure of fault diagnosis, realizes the feature level data fusion algorithm based on fuzzy integral, establishes the fuzzy phenomenon subset and subjection degree function corresponding with different fault type, carries on fuzzy synthesized judge of fault type, and then fuses fuzzy reasoning diagnosis result again using D-S fusion model and method. The method is proved to be effective for fault location by instance. It makes diagnosed information more definite and improves the accuracy of diagnosis.