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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Multisensor Wireless System for Eccentricity and Bearing Fault Detection in Induction Motors
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Multisensor Wireless System for Eccentricity and Bearing Fault Detection in Induction Motors

机译：用于感应电动机的偏心率和轴承故障检测的多传感器无线系统

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摘要

This paper presents a stand-alone multisensor wireless system for continuous condition monitoring of induction motors. The proposed wireless system provides a low-cost alternative to expensive condition monitoring technology available through dedicated current signature analysis or vibration monitoring equipment. The system employs multiple sensors (acoustic, vibration, and current) mounted on a common wireless platform. The faults of interest are static and dynamic air-gap eccentricity, bearing damage, and their combinations. The Hilbert–Huang transform of vibration data and power spectral density of current and acoustic signals are used as the features in a hierarchical classifier. The proposed wireless system can distinguish a faulty motor from a healthy motor with a probability of 99.9% of correct detection and less than 0.1% likelihood of false alarm. It can also discriminate between different fault categories and severity with an average accuracy of 95%.
机译：本文提出了一种用于感应电动机连续状态监测的独立多传感器无线系统。所提出的无线系统为昂贵的状态监测技术提供了一种低成本的替代方法，该技术可通过专用电流信号分析或振动监测设备获得。该系统采用安装在公共无线平台上的多个传感器（声学，振动和电流）。感兴趣的故障是静态和动态气隙偏心率，轴承损坏及其组合。振动数据的Hilbert-Huang变换以及电流和声信号的功率谱密度被用作分层分类器中的特征。所提出的无线系统可以以99.9％的正确检测可能性和不到0.1％的错误警报可能性将故障的电动机与正常的电动机区分开。它还可以以95％的平均准确度区分不同的故障类别和严重程度。

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