Multifrequency ultrasonic testing regression prediction method for acid value of transformer oil
A regression prediction and transformer oil technology, applied in the direction of using sound wave/ultrasonic wave/infrasonic wave to analyze fluids, instruments, complex mathematical operations, etc. It can solve problems such as poor fitting degree and large data error
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[0042] A transformer oil acid value multi-frequency ultrasonic test regression prediction method, comprising the following steps:
[0043] Step 1: Perform multi-frequency ultrasonic characteristic test and acid value measurement on transformer oil samples, and use support vector regression machine SVR (Support Vector Regression) to establish a regression prediction model for transformer oil acid value: conduct multi-frequency ultrasonic waves on transformer oil samples with different operating years Characteristic testing, and at the same time measure the acid value in transformer oil samples based on the indicator method, with the multi-frequency ultrasonic test data as input and the acid value test results in oil as output, use the support vector regression machine SVR to establish a regression prediction model for the acid value of transformer oil;
[0044] Step 2: Use the genetic algorithm GA (genetic algorithm) to optimize the combination of the penalty function penalty fact...
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