Diagnostics on Power Electronics Converters by Means of Autoregressive Modelling

被引:0
作者
Diversi, Roberto [1 ]
Sandrolini, Leonardo [1 ]
Simonazzi, Mattia [1 ]
Speciale, Nicolo [1 ]
Mariscotti, Andrea [2 ]
机构
[1] Univ Bologna, Dept Elect Elect & Informat Engn DEI, I-40136 Bologna, Italy
[2] Univ Genoa, Dept Elect Elect & Telecommun Engn & Naval Archite, I-16145 Genoa, Italy
关键词
electromagnetic compatibility; conducted emissions; diagnostics; autoregressive model; data-driven techniques; SMPS; wireless power transfer; FAULT-DETECTION; VOLTAGE; SYSTEMS; RESOLUTION; INVERTERS; EMISSIONS; BEARINGS; SPECTRUM;
D O I
10.3390/electronics13153083
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Power conversion systems for wireless power transfer (WPT) applications have demanding requirements for continuity of service, besides being operated with stressing environmental conditions. Diagnostic and prognostic programs are thus quite useful and this work shows a novel approach based on the analysis of spectra of an autoregressive (AR) model to recognize a wide range of faulty devices, including incipient faults, when deviations from nominal parameters begin to manifest. AR modeling provides cleaner and easier to interpret spectra, where only the salient features remain, and they are more sensitive to variations in the corresponding time domain waveforms. A log spectral distance is calculated that successfully separates healthy and faulty states of the feeding single-phase inverter, even in challenging scenarios of poor signal-to-noise ratio.
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页数:21
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