Microsoft Word - CEFC_Failure_Detection_Resume.doc

A. Belardi, F. Leonardi
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引用次数: 0

摘要

本文提出了一种适用于工业和家用电气设备故障检测的方法。该方法是基于小波的电流特征分析。一个电流传感器、一个数模转换器和一个示波器,基本上构成了数据采集系统的设置。利用软件工具对采集到的数据进行处理。在小波分析的基础上进行了故障实时检测。当需要高精度的过程时,这种方法特别有用。以应用于工业机械过程的反馈控制系统为例,其中电气设备性能的分析在反馈控制系统中起着非常重要的作用。介绍了一个与电钻故障检测有关的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microsoft Word - CEFC_Failure_Detection_Resume.doc
This paper presents a methodology suitable for industrial and household electrical equipment failure detection. The proposed approach is based on the Wavelet Based Current Signature Analysis. A current sensor, a digital analogical converter, and an oscilloscope, basically, form the data acquisition system setup. Using software tools, the acquired data are posprocessed. Based on wavelet analysis, the real-time failure detection is carried out. This approach is, particularly, helpful when a high accuracy process is needed. As an example, it can be mentioned the ones concerning the feedback control system applied to industrial machine process, in which the analysis of the electric equipment performance takes a very important role on it. An application related to an electrical drill machine failure detection is presented.
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