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Data Analysis for Predictive Maintenance of Servo Motors
Shock and Vibration ( IF 1.6 ) Pub Date : 2020-09-11 , DOI: 10.1155/2020/8826802
Oguz Girit 1 , Gurcan Atakok 1 , Sezgin Ersoy 2
Affiliation  

Vibration and temperature data of a servo motor are analyzed with PLC which is widely used in the industry. With this system, power supply can be detected on the servo motors. In this way, undesirable situations such as disruptions in production and productivity loss can be prevented from occurring. It is an important problem for businesses to detect malfunctions that may occur in servo motor dysfunction. Previously, methods such as ultrasonic sound measurements, thermal cameras, endoscopy equipment, and energy analysis have been used and discussed in the literature. Our study offers a PLC-based vibration and temperature measurement system designed as a solution of this problem. In this system, vibration and temperature measurements were made while the servo motor was kept running. These measurements were measured with or without load, considering the operating ranges of the servo motor, and the compatibility of the data was evaluated.

中文翻译:

伺服电机预测维护的数据分析

伺服电机的振动和温度数据通过PLC进行分析,PLC在业界已广泛使用。通过该系统,可以在伺服电机上检测电源。这样,可以防止发生不希望的情况,例如生产中断和生产率损失。对于企业来说,检测可能在伺服电机故障中发生的故障是一个重要的问题。以前,文献中已经使用和讨论了诸如超声波测量,热像仪,内窥镜设备和能量分析之类的方法。我们的研究提供了一种基于PLC的振动和温度测量系统,旨在解决该问题。在该系统中,在伺服电机保持运行的同时进行了振动和温度测量。这些测量是在有载或无载情况下进行的,
更新日期:2020-09-11
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