This invention relates to a
failure analysis fault point prediction method and
system, belonging to the field of
failure analysis technology, and solves the problem of low efficiency in existing
failure analysis methods. The method includes constructing diagnostic sample sets for each testing process and training their respective basic classification models; obtaining the
yield rate of fault points based on historical maintenance records, and using
cluster analysis to identify normal points within the fault points, and statistically calculating the
failure probability of normal points; adjusting the order of each testing step in each testing process based on the
failure probability of normal points; obtaining the basic classification model for the corresponding testing process based on the latest
diagnostic data of the
assembly to be tested; if the accuracy of the current basic classification model is higher than a threshold, inputting the latest
diagnostic data into the current basic classification model to predict the fault point; otherwise, obtaining the fault point based on the adjusted order of each testing step in the corresponding testing process and the obtained actual test values. This significantly improves the efficiency of failure analysis.