A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis

Xiaohang Jin, Fangzhou Cheng, Yayu Peng, W. Qiao, Liyan Qu
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引用次数: 24

Abstract

Gearboxes are widely used in rotary machines, such as wind turbines, automobiles, and helicopters. Failures of gearboxes contribute to a significant portion of the total failures and downtime in these machines. Gearbox fault diagnosis is an effective means to prevent catastrophic failures, improve the reliability, and reduce the downtime and maintenance cost of these machines. Vibration-based approaches have been employed in most commercially available condition monitoring systems (CMSs); while current-based approaches have received increasing attentions in the industry and academia. This paper presents a comparative study on the vibration- and current-based approaches for gearbox fault diagnosis. Theoretical analysis and experimental tests are carried out to show that: in vibration signals, ghost frequencies appear when the gearbox is healthy and disappear when a gear fault occurs; vibration signals of a faulty gearbox are modulated by shaft rotating frequencies at gear meshing frequencies (GMFs); in current signals, the fundamental frequency component is dominant when the gearbox is healthy; and current signals are modulated by gearbox characteristic frequencies at the fundamental frequency when gear faults appear.
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基于振动和电流的传动系统齿轮箱故障诊断方法的比较研究
齿轮箱广泛应用于旋转机械,如风力涡轮机、汽车和直升机。在这些机器中,齿轮箱的故障占总故障和停机时间的很大一部分。齿轮箱故障诊断是防止这些机器发生灾难性故障、提高可靠性、减少停机时间和维修成本的有效手段。大多数商用状态监测系统(cms)都采用了基于振动的方法;而基于当前的方法越来越受到工业界和学术界的关注。本文对基于振动和电流的齿轮箱故障诊断方法进行了比较研究。理论分析和实验测试表明:在振动信号中,当齿轮正常时出现鬼频,当齿轮发生故障时消失;故障齿轮箱的振动信号由齿轮啮合频率处的轴旋转频率调制;在电流信号中,当齿轮箱处于健康状态时,基频分量占主导地位;当齿轮出现故障时,电流信号由齿轮箱特征频率在基频处调制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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