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.

电动机通常用于各种家用和工业应用中。Mahon Electric Co Ltd.（位于安大略的雷霆湾）提出的问题是如何在低负荷或空载条件下检测转子断条故障，这也是业界正在研究的问题，也是该研究领域的一项挑战性任务。为了应对这一挑战，该项目的目标是与Mahon Electric合作，开发一种新的滑动谱（SS）技术，用于在低负载或无负载下检测转子断条故障。所提出的SS技术适用于故障检测的电流和振动信号。具体而言，1）智能传感器将被开发用于更准确的转子速度识别和滑差估计; 2）自适应去噪滤波技术将被提出用于提高从故障转子条到电流传感器的复杂信号路径的信噪比; 3）一种新的方法将被提出用于在空载条件下对转子条故障检测的脉冲的频带上的平均谱特征进行解调。该项目将与Mahon Electric密切合作。相关的研究和测试将在公司进行。公司员工丰富的动手经验将对本项目取得丰硕成果有很大帮助。所提出的SS技术也可以用于一般的在线电机健康状况监测，以在其最早阶段识别电机缺陷，从而防止机械性能下降，故障，甚至是毁灭性的故障。SS技术可以使众多的美国公司受益，通过提高产品质量和系统可靠性，降低成本，在相关市场中获得竞争优势。