Fault Diagnosis Reliability Evaluation of Turbo-generator Based on Information Fusion Technology

The core of turbo-generator fault diagnosis reliability of the multi-level fuzzy comprehensive evaluation is the realization of the conversion from various index memberships to the targets membership. The current methods membership conversions have the problem that there are indicators of membership in the target classification of non-functional redundancy which has also been used to calculate the value of the goal of membership. The Membership Conversion is a information fusion technology, excavating the knowledge information hidden in various indicators on the goal of membership in the classification of target, clearing the redundant Numeric indicators of membership in the target classification which does not work on the value of redundancy index memberships and then to achieve Membership conversion in the absence of interference to Redundant data. This algorithm based on the information fusion technology assess the reliability of Turbo-generator fault diagnosis that meet the requirements of dynamic and real-time in the reliability of assessing.