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Different measurement techniques for detection of bearing faults in industrial actuators — comparative study

机译:用于检测工业执行器轴承故障的不同测量技术—比较研究

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摘要

Continuous and smooth operations of industrial actuators are very essential for the operation of automated plants. Detection of bearing faults, operated through Variable Frequency Drive (VFD)in the high-power actuators used in industrial process control operation is very challenging, due to dynamical alteration of load, speed, and external interferences. Proposed work, investigates suitable measurement technique for detection of such bearing failures. In the paper, a comparative study between vibration signal measured through piezoelectric sensor, acoustic signal measured through microphone, and motor current signature analysis for detection of bearing fault have been presented. In the work, natural and artificially created bearing faults in three phase induction motor based actuator have been considered, which is used to operate an industrial scale model process plant used for pneumatic conveying and drying. The experimental results show the superiority of vibration signal measured through piezoelectric based sensor.
机译:工业执行器的连续和平稳运行对于自动化工厂的运行非常重要。由于负载,速度和外部干扰的动态变化,在工业过程控制操作中使用的大功率执行器中通过变频驱动器(VFD)进行轴承故障的检测非常具有挑战性。拟议的工作研究了用于检测此类轴承故障的合适的测量技术。本文对通过压电传感器测量的振动信号,通过麦克风测量的声学信号以及检测轴承故障的电动机电流信号分析进行了比较研究。在工作中,已经考虑了基于三相感应电动机的执行器中的自然和人为造成的轴承故障,该故障用于操作用于气动输送和干燥的工业规模模型过程工厂。实验结果表明,通过基于压电的传感器测得的振动信号具有优越性。

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