PHYSICS-INFORMED PARTIAL LEAST SQUARES REGRESSION MODELING FOR FAILURE DETECTION IN POWER ELECTRONIC DEVICES
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United States of America Patent
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Apr 6, 2023
app pub date -
Oct 1, 2021
filing date -
Oct 1, 2021
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Abstract
Systems and methods are disclosed for performing fault detection and prediction for power electronics and switching devices for power electronics, such as power inverters. Systems and methods disclosed herein can include determining, by a partial least squares model that evaluates values for one or more switching parameters for a switching device, the one or more switching parameters selected from a first set of switching parameters, a predicted value for the on-state current Ids of the switching device. The predicted value for the on-state current Ids can be based on the values of the one or more switching parameters for the switching device. Systems and methods disclosed herein can determine a residual comprising the difference between the predicted value for the another switching parameter of the switching device and an actual value of the predicted value for the another switching parameter, and generate a test statistic based on the residual.
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