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Fault diagnosis method of three-level inverter based on empirical mode decomposition and decision tree RVM
Fault diagnosis method of three-level inverter based on empirical mode decomposition and decision tree RVM
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机译:基于经验模式分解和决策树RVM的三电平逆变器故障诊断方法
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摘要
Disclosed is a fault diagnosis method of a three-level inverter based on an empirical mode decomposition and a decision tree RVM, in view of fault diagnosis problems of a diode neutral-point-clamped three-level inverter in a photovoltaic power generation system, first of all, analysing operating conditions of an inverter main circuit and performing fault classification; extracting each signal component with the empirical mode decomposition method by taking the middle, upper and lower bridge leg voltages as measurement signals; calculating corresponding parameters, such as an energy and an energy entropy; thereby generating a decision tree RVM classification model with a particle swarm clustering algorithm, to finally achieve multi-mode fault diagnosis of the photovoltaic diode neutral-pointclamped three-level inverter. Advantages of the present invention are that, setting of parameters is not needed, the number of classification models is small, both a calculating efficiency and a diagnosis precision are high, and the robustness is good.
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