NC Equipment Fault Diagnosis Research in Uncertain Circumstance Based on Information Fusion and Bayesian Networks Integrated

With the development of NC Equipment for the direction of high-speed, high power and high reliability, there are lots of complicated and coupling relationship as well as uncertain elements and information between and among the components. Two theory methods that are combined based on information fusion technology and Bayesian network are proposed in this paper. Firstly, more information fusion method can increase the completeness of the fault information to overcome the disadvantages of the single sensor; Secondly, Bayesian network is one of most effective means which not only can decrease the ambiguity of fault information but also improve the speed of fault diagnosis. At last, the experimental study of NC tool-machines is verified to be valid, which strengthens the practical value.