Fault Pattern Recognition Method for DC-DC Power by Using Output Voltage Waveform Analysis

2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI:10.1109/ICPICS55264.2022.9873535

Wei Yuan, Huizhuang Gao, Wei Li, Changxin Wang

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Abstract

DC-DC power module is the power supply for electronic system. With its wide range of applications in engineering equipment, the degradation and fault conditions have received increasing attention. Many researches on DCDC power tend to take some of their internal devices out of the test and analysis, and study the corresponding test methods, which are rapidly developing in single fault diagnosis. In this paper, a method is proposed for identifying fault patterns of DC-DC power. The fault characteristics of the internal components in the power module are determined by PSpice circuit simulation. The test signals are the output current pulse signal and the normal input voltage signal. After inputting the test signal, the fault diagnosis of optocoupler and MOSFET tube is realized by analyzing the output waveform. The result shows that the optocoupler has a great influence on the adjustment ability of the circuit anti-jamming. MOSFET tube has a great influence on the output voltage level.

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基于输出电压波形分析的直流电源故障模式识别方法

直流电源模块是电子系统的电源。随着其在工程设备中的广泛应用，其退化和故障状况越来越受到人们的关注。许多关于直流电源的研究都倾向于将其内部的一些器件从测试和分析中剥离出来，研究相应的测试方法，在单故障诊断方面发展迅速。本文提出了一种识别直流电源故障模式的方法。通过PSpice电路仿真，确定了电源模块内部元器件的故障特征。测试信号为输出电流脉冲信号和正常输入电压信号。输入测试信号后，通过分析输出波形实现光耦合器和MOSFET管的故障诊断。结果表明，光耦合器对电路的抗干扰调节能力有很大的影响。MOSFET管对输出电压电平有很大的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)

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