Method, Apparatus and Computer Program Product for Determining Failure Regions of an Electrical Device

摘要

One or more failure regions are determined for an electrical device by training a machine learning classifier, including analyzing data points for the device and recognizing patterns in the data points. Each data point indicates pass or fail of the device for a particular combination of factors relating to the operation of the device. The trained machine learning classifier is used to predict the pass/fail state of new data points for the electrical device. Each new data point corresponds to a new combination of the factors relating to the operation of the device not previously analyzed by the machine learning classifier. A pass/fail border region can be identified for the electrical device based on the training of the machine learning classifier, the pass/fail border region excluding data points for which the electrical device is expected to pass or fail with a high degree of certainty.

主权项

1. A method of determining failure regions of an electrical device, the method comprising:
training a machine learning classifier by analyzing data points for the electrical device and recognizing patterns in the data points, each data point indicating pass or fail of the electrical device for a particular combination of factors relating to the operation of the electrical device; and using the trained machine learning classifier to predict the pass/fail state of new data points for the electrical device, each new data point corresponding to a new combination of the factors relating to the operation of the electrical device not previously analyzed by the machine learning classifier.