Motor train unit inverter IGBT (insulated gate bipolar translator) single-tube open-circuit fault diagnosis method

Abstract

The invention discloses a motor train unit inverter IGBT (insulated gate bipolar translator) single-tube open-circuit fault diagnosis method. The method includes: constructing orthogonal compact-support complex wavelet according to three-phase output current under single-tube fault mode; acquiring amplitude and phase distribution characteristics of the three-phase output current according to real and imaginary parts of conversion of the constructed complex wavelet; calculating characteristic quantity of mean values of phase difference of all layers of decomposition coefficient of the complex wavelet according to the amplitude and phase distribution characteristics of the three-phase output current; calculating correlation among the mean values of the phase difference by the aid of maximum reciprocal function; performing inverter single-tube open-circuit fault diagnosis according to comparison validation of characteristic quantity and correlation among the mean values of the phase difference of the layers. Quantitative solving is performed through the correlation among the mean values of the phase difference, and accuracy in fault diagnosis is higher as compared with the characteristic quantity of the mean values of the phase difference.

Description

technical field [0001] The invention relates to the field of fault diagnosis of a converter for a train set, in particular to a fault diagnosis method for an IGBT single-tube open circuit of an inverter for a train set. Background technique [0002] At present, when the EMU train fails, the drivers and passengers can only realize the fault removal by closing the module circuit. This processing method directly causes the EMU to lose part of the power and cannot run at the rated speed; in view of this situation, the current converter In the fault diagnosis technology, the method based on signal processing is to use the signal model to directly analyze various characteristic information (frequency, amplitude and phase, etc.) in the signal, which can be divided into spectrum analysis method, wavelet transform method, principal component transform method, etc. ; Based on data-driven methods, there are neural network diagnostic methods, fault tree diagnostic methods, particle swar...

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Problems solved by technology

[0002] At present, when the EMU train fails, the drivers and passengers can only realize the fault removal by closing the module circuit. This processing method directly causes the EMU to lose part of the power and cannot run at the rated speed; in view of this situation, the current converter In the fault diagnosis technology, the method based on signal processing is to use the signal model to directly analyze various characteristic information (frequency, amplitude and phase, etc.) in the signal, which can be divided into spectrum analysis method, wavelet transform method, principal component transform method, etc. ; Based on data-driven methods, there are neural network diagnostic methods, fault tree diagnostic methods, particle swarm diagnostic methods, support vector machine diagnostic methods, etc.; the above diagnostic methods have achieved certain results in the fault diagnosis of converters, but fundamentally The starting point is to expand from the video domain characteristics of the electrical quantity output by the system, and does not pay attention to the hidden characteristics of the signal phase quantity

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