Embedded FPGA based induction motor monitoring system with speed drive fed using multiple wavelet analysis

J. R. Millán-Almaraz, R. Romero-Troncoso, L. M. Contreras-Medina, A. García-Perez
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引用次数: 9

Abstract

Preventive maintenance on machinery is one of the major concerns in industry. Induction motors represent 85% of the total power consumption in the world and several faults related to these motors that increase the power consumption are not easily detected; therefore, periodic fault monitoring is mandatory. There are several techniques for fault detection in induction motors being current analysis the most popular among others. This techniques are focused on the analysis of induction motors that are directly fed by the line and do not consider the induced effects due to speed drives. The novelty of this research is the proposal of a new technique, based on discrete wavelet transform for transient analysis at the motor start, for broken rotor bar detection on induction motors fed in both: directly and with speed drive. The contribution of the present work is the development of a field programmable gate array embedded system implementation of a broken rotor bar on-line monitoring system for a low cost embedded system approach. Results from experimentation show the overall system performance. It is demonstrated that the proposed methodology is efficient to detect the motor faults when directly or speed drive fed.
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基于多小波分析的嵌入式FPGA异步电机调速监控系统
机械设备的预防性维修是工业上的主要问题之一。感应电机占世界总功耗的85%,与这些电机相关的一些增加功耗的故障不容易检测到;因此,定期进行故障监控是必要的。感应电动机故障检测有几种技术,其中电流分析是最常用的。该技术的重点是分析由线路直接馈电的感应电机,而不考虑由于速度驱动引起的感应效应。本研究的新颖之处在于提出了一种基于离散小波变换的电机启动瞬态分析的新技术,用于直接和带速驱动两种异步电机的转子断条检测。本工作的贡献在于开发了一种现场可编程门阵列嵌入式系统,实现了转子断条在线监测系统的低成本嵌入式方法。实验结果显示了系统的整体性能。实验结果表明,该方法能有效地检测出直接或高速驱动电机的故障。
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