Multilevel inverter fault diagnosis strategy based on principal component analysis and multi-classification related vector machine(PCA-mRVM)
A technology of multi-level inverters and correlation vector machines, which is applied in the fields of instruments, electrical digital data processing, special data processing applications, etc., can solve problems such as poor generalization ability, reduced calculation amount, slow diagnosis speed, etc., and achieves characteristic Accurate samples, reduced complexity, avoiding the effects of heavy use
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[0026] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further explained below in conjunction with specific illustrations.
[0027] The structure diagram of a multi-level inverter real-time fault diagnosis strategy is as follows: figure 1 shown. The diagnosis strategy mainly consists of four parts: data preprocessing and feature extraction, classification diagnosis model, output diagnosis result, switch mode calculation. The present invention mainly studies the first three parts, and the switch mode calculation is not considered here temporarily. The working principle of this strategy is as follows: firstly, the output voltage signal of the inverter is preprocessed and its features are extracted, thereby reducing the dimensionality of the sample; secondly, the processed data is brought into the trained mRVM model (this model applies For unfamiliar samples, it only n...
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