Steel defect tracing method based on Bayesian network

A steel defect tracing method based on a Bayesian network belongs to the technical field of industrial design, the method takes the Bayesian network as a basic model to perform accurate tracing on steel defects, and the method mainly comprises the following steps: 1) performing anomaly detection on sample parameters in a data set to obtain anomaly labels of features or parameters; 2) giving an initial weight matrix of the Bayesian network; 3) adjusting the weight matrix according to the abnormal condition of the sample; and 4) obtaining a Bayesian network structure according to the adjusted weight matrix so as to determine the importance of each parameter in the steel product defect generation process. Aiming at the difficulties of many defects, complex steel production measured data characteristics, difficult analysis of steel defect causes and the like in the steel production process, the method can fully mine the relation between the data characteristics, can conveniently obtain the corresponding relation