驱动型异步电动机的FPGA友好故障检测技术

Parth Sarathi Panigrahy, Subhrajit Mitra, P. Konar, P. Chattopadhyay
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引用次数: 7

摘要

近年来,基于FPGA的嵌入式连续在线监测系统越来越受到重视。现有的基于FPGA的方法依赖于瞬态分析,这给电机带来了不必要的压力。此外,FFT的使用消耗了大量的硬件资源。本文在FPGA上设计并实现了一种基于小波变换的转子断条故障检测算法,在稳态低负荷状态下利用振动信号检测断条故障。该工作的主要贡献是通过使用2长度滤波器进行DWT和基于RMS能量的决策块进行故障检测,大大减少了硬件资源。此外,通过控制小波变换所需的频带,可以灵活地将算法扩展到多类故障检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA friendly fault detection technique for drive fed induction motor
FPGA based embedded system for continuous online monitoring has gained importance in recent years. The existing FPGA based methodologies rely on transient analysis, which unnecessarily gives undue stress to the motor. Also, FFT is used which consumes large resource in the hardware unit. In this paper a DWT based algorithm is designed and implemented in FPGA to detect Broken rotor bar fault using vibration signal at low loading condition at steady state. The main contribution of this work is considerable reduction of hardware resource by use of 2-length filter for DWT and RMS energy based decision block for fault detection. In addition, there is flexibility in extending the algorithm for multi-class fault detection by controlling the required frequency band of DWT.
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