Multi-Fault Online Diagnosis of Solar Inverter Based on Wavelet Packet Energy Spectrum and ELM
In this paper,three-level Solar inverter was selected as the research object,and a fast diagnosis method was proposed for its fault based on the wavelet packet energy spectrum base.Under the wavelet packet technology,the energy spectrum eigenvector generated by the three-level inverter leg voltage and corresponding signals was decomposed and analyzed,and then under the diagnosis of extreme learning machine,the fault mode of its internal single or multiple devices was analyzed and eliminated.After relevant research and analysis,it can be concluded that the wavelet packet energy spectrum technology proposed in this article has strong technical advantages.Compared with traditional BP neural networks and least squares fault diagnosis methods,this method is easier to obtain detection signals,has greater anti-interference ability and a fast diagnostic speed which can accurately identify the cause of faults,thereby significantly reducing the cost of fault diagnosis,suitable for online diagnosis.
wavelet packet energy spectrumSolar inverterfault diagnosisELM
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