基于离散小波变换的电力传动开关故障鲁棒检测、诊断和定位技术

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering and Technology Innovation Pub Date : 2023-01-01 DOI:10.46604/ijeti.2023.10005

Hari Kumar Raveendran Pillai, Mayadevi Nanappan, Mini Valiyakulam Prabhakaran, Shenil Pushpangadan Sathyabhama

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引用次数: 0

摘要

对于并联运行大量感应电机来说，电气驱动中开关故障的检测、诊断和定位极其重要。本研究旨在通过使用一种从离散小波变换（DWT）系数导出的新型诊断变量，介绍感应电机驱动系统（IMDS）开关故障检测、诊断和定位策略的设计和开发。该算法的独特之处在于，它可以识别单个/多个开关的开路和短路故障，并使用单一的数学计算来定位有缺陷的开关。该算法在MATLAB/Simulink中进行了仿真测试，并在LabVIEW硬件在环平台上进行了实验验证。结果证明了所提出的技术在识别和定位故障方面的稳健性和有效性。

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A Robust Technique for Detection, Diagnosis, and Localization of Switching Faults in Electric Drives Using Discrete Wavelet Transform

Detection, diagnosis, and localization of switching faults in electric drives are extremely important for operating a large number of induction motors in parallel. This study aims to present the design and development of switching fault detection, diagnosis, and localization strategy for the induction motor drive system (IMDS) by using a novel diagnostic variable that is derived from discrete wavelet transform (DWT) coefficients. The distinctiveness of the proposed algorithm is that it can identify single/multiple switch open and short faults and locate the defective switches using a single mathematical computation. The proposed algorithm is tested by simulation in MATLAB/Simulink and experimentally validated using the LabVIEW hardware-in-the-loop platform. The results demonstrate the robustness and effectiveness of the proposed technique in identifying and locating faults.

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来源期刊

International Journal of Engineering and Technology Innovation ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.80

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： The IJETI journal focus on the field of engineering and technology Innovation. And it publishes original papers including but not limited to the following fields: Automation Engineering Civil Engineering Control Engineering Electric Engineering Electronic Engineering Green Technology Information Engineering Mechanical Engineering Material Engineering Mechatronics and Robotics Engineering Nanotechnology Optic Engineering Sport Science and Technology Innovation Management Other Engineering and Technology Related Topics.