Research on Diagnosis of Abnormal Causes in Quality of Weld Based on the Bayesian Net Model
In the process of major equipment manufacturing, the quality of weld is an important influencing factor of the product. The diagnosis of abnormal causes in the quality of weld is the premise and important procedure in the quality management. In this paper, a new diagnosis method of abnormal causes for the weld quality based on Bayesian net model is proposed. Firstly, the quality characters and abnormal influencing factors are defined by analyzing the measuring data of weld. Meanwhile, to build the Bayesian net model, the quality characters and abnormal influencing factors is used as the symptom node and the abnormal cause node respectively. Then the priori probability of Bayesian net model can be obtained from the historical fault cases and expert knowledge. In the end, the diagnosis of abnormal causes is realized by the priori probability reasoning. A case study is provided to illustrate the validity of the proposed method.
weld quality quality bayesian net model
Hongquan JIANG Jianmin GAO Weilei MU Fumin CHEN
State Key Laboratory for Manufacturing System Engineering Xi’an Jiaotong University Xi’an, China,
国际会议
西安
英文
531-534
2011-06-17（万方平台首次上网日期，不代表论文的发表时间）