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机构地区:[1]哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨150080
出 处:《信息与控制》2017年第6期738-745,共8页Information and Control
摘 要:为了实现在电机出现各类故障前及时地检测出电机的运行状态,并对将要发生的故障发出预警信号,本文通过对电机故障前兆以及不正常运行状态时表现出的特征进行归类分析,确定了电机故障的诊断特征参量,提出了智能电机的新概念,建立了一种成本低、能自动预警的智能化电机故障诊断及预警系统.本系统通过对电机运行过程中状态参数的采集和处理,能够在故障发生前期判别出电机将要发生的故障,并自动产生预警信号,同时对电机运行状态参数进行大量的存储,便于进一步分析电机故障产生的原因.本系统还融入了互联网的理念,实现电机运行数据的网络化,为电机提供了一种准确性高且实用性强的智能化故障诊断及预警系统.Determining the running state of a motor prior to the occurrence of various faults and giving an early warning signal about a fault that is about to occur are important. Through an analysis of the characteristics of motor fault precursors and abnormal operating states,we determine the diagnosis parameters of motor faults and present a new concept of intelligent motor. We then establish a low-cost and intelligent fault diagnosis and an automatic early warning system that can identify a fault in the motor in the early stage and send out an early warning signal automatically by collecting and processing the state parameters as the motor operates. The motor running status parameters are stored in large amounts,which is convenient for further analysis of the causes of the motor fault. This system also incorporates the concept of the Internet to create a motor running data network,thereby providing a highly accurate and practical intelligent fault diagnosis and early warning system.
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