基于可加性模糊系统的多传感器数据融合诊断

Addible Fuzzy System Based Multisensor Data Fusion Diagnosis

基于可加性模糊集系统理论，提出一种多传感器模糊融合诊断方法，采用补块覆盖法逼近函数和可加性模糊融合算法进行信号的特征融合。实验证明该诊断模型提高了诊断的准确性。

Based on the theory of addible fuzzy system and multi- sensor fusion, this paper prese nts a fuzzy fusion diagnosis scheme. Selecting proper reasoning method and contr ol strategy, the approach of establishing fault diagnosis model has been put for ward . Adapted patch-block overlay methods to approach function and addible fuzz y fusion algorithm to process characteristic information . Considering the decis ion of each sensor as a rule, the addible fuzzy fusion system calculates the superposition of these rules and then transforms it into suitable function by deter mining the center of figure. The fuzzy fusion diagnosis model can meet the need of eliminating potential redundancy and interfere of multi-sensor information, thus,the model will form a perceptive description of diagnosed system environmen t which is more integrated and accordant relatively.