基于传感器的电机振动分析

Vaishnavi Khandelwal, Pankaj Ramtekkar, Mohit Chauhan, Yashika Bhute, Rajratan Kouthekar
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引用次数: 3

摘要

大多数工业系统故障是由发动机故障引起的,这可能非常严重,并导致大量停机时间。因此,持续的健康监测,准确的故障检测和早期预警发动机故障是必不可少的,也是经济有效的。识别电机故障需要复杂的信号处理技术来快速检测和隔离故障。振动监测是分析设备技术状况的最古老和最具信息量的方法之一。对于预测性电机维护,使用这种方法。在这个项目中,我们将实时监测发动机的振动图,并对其进行分析,以识别磨损误差等故障。为此,我们组装了用于测量电机振动的硬件和软件。在其中,我们使用了一个装有加速度计的Arduino作为振动传感器。然后在MATLAB上使用Arduino的数据进行实时监控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor Based Vibration Analysis of Motor Using MATLAB Software
Most industrial system failures are caused by engine failure that can be very serious and cause significant downtime. Therefore, continuous health monitoring, accurate fault detection and early warning of engine failures are essential and cost-effective. Identifying motor failures requires sophisticated signal processing techniques to detect and isolate faults quickly. One of the oldest and most informative methods for analyzing the technical condition of equipment is vibration monitoring. For predictive motor maintenance, this method is used. In this project, we will monitor a real-time graph of engine vibration and analyze it with the aim of identifying faults such as wear errors. To this end, we have assembled the hardware and software used to measure motor vibration. In it, we used an Arduino equipped with an accelerometer as the vibration sensor. The data from the Arduino is then used on MATLAB for real-time monitoring.
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