A new technology for motor rotor bar fault detection under no load conditions

电机转子线棒空载故障检测新技术

• 批准号: 516273-2017
• 负责人: Wang, WilsonQuansheng
• 金额: $ 1.82万
• 依托单位: Lakehead University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640073
• 关键词: new; technology; motor; rotor; bar

Electric motors are commonly used in various domestic and industrial applications. The problem raised byMahon Electric Co Ltd. (in Thunder Bay, Ontario) is how to detect a broken rotor bar fault under low or noload conditions, which is also an ongoing problem in the industry, and a challenging task in this research field.A lower load corresponds to a smaller slip, which makes it more difficult to detect rotor fault. To tackle thischallenge, the objective of this project, in collaboration with Mahon Electric, is to develop a new slip spectral(SS) technique for broken rotor bar fault detection, under low or no loading. The proposed SS techniqueapplies both electric current and vibration signals for fault detection. Specifically, 1) a smart sensor will bedeveloped for more accurate rotor speed recognition and slip estimation; 2) Adaptive denoising filteringtechnique will be proposed to improve signal-to-noise ratio of the complex signal path from the faulty rotor barto the current sensors; 3) A new approach will be suggested to demodulate average spectral characteristics overthe bands with impulses for rotor bar fault detection under no load conditions. This project will be undertakenwith close collaboration with Mahon Electric. The related research and testing will be performed in thecompany. The rich hands on experience the company's staff will be very helpful to make productive results ofthis project. The proposed SS technology can also be used for general online motor health conditionmonitoring to recognize the motor defect at its earliest stage so as to prevent machinery performancedegradation, malfunction, or even devastating failures. The SS technology can benefit a wide array of Canadiancompanies to gain a competitive advantage in the related market by improving production quality and systemreliability, and reducing costs.

电机通常用于各种家庭和工业应用中。马洪电气有限公司(位于安大略省桑德湾市)提出的问题是如何在低负载或空载条件下检测断条故障，这也是行业中持续存在的问题，也是该研究领域的挑战性任务。负载越低，转差率就越小，这就增加了检测转子故障的难度。为了应对这一挑战，该项目的目标是与Mahon Electric合作，开发一种新的滑移谱(SS)技术，用于在低负载或空载情况下检测转子断条故障。所提出的SS技术同时利用电流和振动信号进行故障检测。具体地说，1)将开发一种智能传感器来更准确地识别转子转速和转差率；2)将提出自适应去噪滤波技术来提高从故障转子棒到电流传感器的复杂信号路径的信噪比；3)将提出一种新的方法来解调带脉冲的频段的平均频谱特征，用于空载情况下的转子棒故障检测。该项目将与马洪电气密切合作。相关的研究和测试将在该公司进行。公司员工的丰富实践经验将对这个项目取得丰硕成果非常有帮助。所提出的SS技术还可以用于一般在线电机健康状态监测，以便在最早阶段识别电机缺陷，从而防止机械性能退化、故障甚至毁灭性故障。SS技术可以使众多加拿大公司受益，通过提高产品质量和系统可靠性，降低成本，从而在相关市场上获得竞争优势。