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首页> 外文期刊>American journal of applied sciences >Fault Detection of 3-Phase VSI using Wavelet-Fuzzy Algorithm | Science Publications
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Fault Detection of 3-Phase VSI using Wavelet-Fuzzy Algorithm | Science Publications

机译:小波模糊算法的三相VSI故障检测科学出版物

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摘要

> The good knowledge and information about the fault mode behaviour of the PWM voltage source inverter is important to improve system design, protection and fault tolerant control. This paper develops a real-time condition-monitoring algorithm for 3-phase Pulse Width Modulation (PWM) inverter in fuzzy speed controlled induction machine. It is designed to detect and identify the transistor open-circuit fault and an intermittent misfiring fault, which commonly occurs in the inverter drive system. The condition monitoring mechanism is based on Discrete Wavelet Transform (DWT) and Fuzzy Logic (FL). In this method, the stator currents are used as an input to the system. No direct access to the induction motor is required. The developed system has been rigorously assessed theoretically and experimentally, and it has been shown that the system is robust and reliable.
机译: >关于PWM电压源逆变器的故障模式行为的丰富知识和信息对于改善系统设计,保护和容错控制非常重要。本文研究了模糊调速感应电机中三相脉宽调制(PWM)逆变器的实时状态监测算法。它旨在检测和识别通常在逆变器驱动系统中发生的晶体管开路故障和间歇性失火故障。状态监视机制基于离散小波变换(DWT)和模糊逻辑(FL)。在这种方法中,定子电流用作系统的输入。无需直接接触感应电动机。理论上和实验上都对所开发的系统进行了严格的评估,结果表明该系统稳定可靠。

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