Product reliability evaluation based on manufacturing process information fusion

To make full use of multi-source information to evaluate product reliability, as in the case of quick response manufacturing demand, the Bayes information fusion method based on the information entropy is proposed. Firstly, the information entropy in the fusion of multi-source information reliability with the Bayes method is analyzed, and the premise of using the Bayes method for information fusion is pointed out. Based on the forming process of product reliability is analyzed, the reasonable source is determined. By comparing the similar degree of current processing finished products and similar products, different prior distributions are determined. And then the Bayes method is used for information fusion to evaluate product reliability. Finally, the case study on reliability evaluation of radar phase-shift unit is demonstrated to prove the feasibility and effectiveness of the proposed method.