Equipment failure detection through the analysis of data from induction motors

通过分析感应电机的数据来检测设备故障

• 批准号: 503190-2016
• 负责人: Salmon, John
• 金额: $ 1.82万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=609353
• 关键词: Equipment; failure; detection; through; analysis

3-phase induction motors are a critical part of many Alberta industries as they are a vital cost effective tool for using electrical power to control many industrial processes, especially relevant in Alberta because of the oil and gas, mining and petro-chemical industries. Typically, 60-80% of industrial electrical power is consumed by induction motors. Hence, high energy conversion efficiency, reliability and failure avoidance of induction motors, significantly improves productivity by lowering energy bills, reducing expensive maintenance procedures and avoiding costly plant downtimes. Many of these goals can be achieved by monitoring the electrical performance of motors, condition monitoring, and predicting commonly occurring fault conditions before they happen; the latter allows for maintenance to be scheduled when it is convenient for the industrial plant; predictive maintenance.

三相感应电动机是艾伯塔省许多工业的重要组成部分，因为它们是使用电力控制许多工业过程的重要成本效益工具，特别是在艾伯塔省，因为石油和天然气，采矿和石化工业。一般来说，60-80%的工业电力是由感应电动机消耗的。因此，感应电机的高能量转换效率、可靠性和故障避免，通过降低能源费用、减少昂贵的维护程序和避免昂贵的工厂停机时间，显着提高了生产率。许多这些目标可以通过监测电机的电气性能、状态监测以及在故障发生之前预测常见的故障条件来实现；后者允许在工业工厂方便时安排维修；预测性维护。