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The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators

机译:风力发电机组滚动轴承轴电流缺陷的识别

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摘要

Rolling bearings are an important part of wind turbine systems. Shaft current induced damages are one of the main causes for bearing failures, which lead to considerable operation loss of wind turbine plants. In this paper, the characteristics of shaft current damages and their induced vibration responses are studied analytically. Then it suggests to use an emerging Modulation Signal Bispectrum (MSB) to detect and diagnose the incipient defects as MSB can suppress various noise and provide a sparse result that integrates particularly the fault modulator and the structural resonance carrier to highlight the fault effect. Finally, the detection and diagnosis results based on both simulated signals and experimental signals show the outstanding performance of MSB analysis in detecting common bearing faults. Especially, it can achieve a straightforward differentiation between the fatigue pitting defects and shaft current damages, whereas conventional envelope analysis cannot provide a separation between these two types.
机译:滚动轴承是风力涡轮机系统的重要组成部分。轴电流引起的损坏是导致轴承故障的主要原因之一,轴承故障会导致风力发电机组的大量运行损失。本文对轴电流损伤的特性及其引起的振动响应进行了分析研究。然后,它建议使用新兴的调制信号双频谱(MSB)来检测和诊断初期缺陷,因为MSB可以抑制各种噪声并提供稀疏结果,特别是将故障调制器和结构共振载体集成在一起以突出故障效果。最后,基于仿真信号和实验信号的检测和诊断结果表明,MSB分析在检测常见轴承故障方面具有出色的性能。特别是,它可以实现疲劳点蚀缺陷和轴电流损伤之间的直接区别,而常规的包络分析不能将这两种类型分开。

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