A capacitor life estimation method, device and electronic equipment

Abstract

One or more embodiments in this application provide a capacitor life estimation method, device, and electronic equipment, including: obtaining capacitance characteristic values; establishing an early prediction model group, a mid-term prediction model group, and a late prediction model; the early prediction model group is based on the first One training set is trained to obtain, the mid-term prediction model group is obtained based on the second training set training, and the late prediction model is obtained based on the third training set training; the capacitance characteristic value is input into the early prediction model group to determine the prediction result of the early prediction model group; the capacitance Inputting the eigenvalues ​​into the mid-term prediction model to determine the prediction results of the mid-term prediction model group; inputting the capacitance eigenvalues ​​into the late prediction model to determine the prediction results of the late prediction model; performing capacitor life estimation based on the capacitor aging test and according to at least one prediction result. The present application can solve the problems in the prior art that there are large errors in life estimation of capacitors based on aging tests and individual differences in capacitors cannot be avoided.

Description

technical field [0001] One or more embodiments of the present application relate to the technical field of capacitor life estimation, and in particular, to a capacitor life estimation method, device, and electronic device. Background technique [0002] In the data-based capacitor life prediction in the prior art, a large number of visual tracking algorithms are used to predict the future capacitance loss or to predict the final life of the capacitor based on probability distribution. On the one hand, visual tracking algorithms often only focus on the historical sequence of a certain capacitor before a certain time, so as to predict the remaining life from this time to when the capacitance loss reaches the maximum allowable value. This method performs online supervision on the life of the capacitor in real-time supervision It has a good prediction effect, but the effect of the overall evaluation of the life of the capacitor based on the aging test is not good; on the other ha...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the purpose of one or more embodiments in the present application is to propose a capacitor life estimation method, device and electronic equipment to solve at least one problem existing in the prior art

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