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Ringing Frequency Extraction Method Based on EMD and FFT for Health Monitoring of Power Transistors

机译:基于EMD和FFT的振铃频率提取方法,用于电力晶体管的健康监测

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摘要

Condition monitoring has been recognized as an effective and low-cost method to enhance the reliability and improve the maintainability of power electronic converters. In power electronic converters, high-frequency oscillation occurs during the switching transients of power transistors, which is known as ringing The ringing frequency mainly depends on the values of the parasitic capacitance and stray inductance in the oscillation loop. Although circuit stray inductance is an important factor that leads to the ringing, it does not change with transistor aging. A shift in either the inside inductance or junction capacitance is an important failure precursor for power transistors. Therefore, ringing frequency can be used to monitor the health of power transistors. However, the switching actions of power transistors usually result in a dynamic behavior that can generate oscillation signals mixed with background noise, which makes it hard to directly extract the ringing frequency. A frequency extraction method based on empirical mode decomposition (EMD) and Fast Fourier transformation (FFT) is proposed in this paper. The proposed method is simple and has a high precision. Simulation results are given to verify the ringing analysis and experimental results are given to verify the effectiveness of the proposed method.
机译:状态监测已被认为是一种有效和低成本的方法,可以提高可靠性,提高电力电子转换器的可维护性。在电力电子转换器中,在功率晶体管的切换瞬变期间发生高频振荡,这被称为振铃频率主要取决于振荡回路中的寄生电容和杂散电感的值。虽然电路杂散电感是导致振铃的重要因素,但它不会随晶体管老化而改变。内部电感或结电容的偏移是功率晶体管的重要失效前兆。因此,振铃频率可用于监测功率晶体管的健康。然而,功率晶体管的切换动作通常导致动态行为,其可以产生与背景噪声混合的振荡信号,这使得难以直接提取振铃频率。本文提出了一种基于经验模式分解(EMD)和快速傅里叶变换(FFT)的频率提取方法。所提出的方法简单,精度高。仿真结果验证了振铃分析和实验结果,以验证所提出的方法的有效性。

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