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Planet gear fault localization for wind turbine gearbox using acoustic emission signals

机译:基于声发射信号的风力发电机齿轮箱行星齿轮故障定位

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Acoustic emission (AE) techniques have been rapidly developed for use as powerful fault-diagnosis tools, especially in fault localization. Traditionally, AE signals were directly used for localization on simple models such as pipes and plates without subdivision; however, this effect is usually not ideal for complex structures. In this study, a new method capable of obtaining the precise time of arrival for AE signals is proposed to localize the faulty planet gear in a wind turbine gearbox; the core localization concept is to determine a valid physical parameter that presents the linear correlation with distance. Because compressive waves present a constant speed on any given frequency band, continuous wavelet transform based on the Morlet wavelet is used to extract those waves from other components of AE waves. Results obtained after applying this method to actual planet gear fault localization are satisfactory, indicating that this method offers several advantages to fault localization in complex structures. (C) 2017 Published by Elsevier Ltd.
机译:声发射(AE)技术已得到迅速发展,可以用作强大的故障诊断工具,尤其是在故障定位中。传统上,声发射信号直接用于简单模型的定位,例如不细分的管道和板块。但是,这种效果通常不适用于复杂的结构。在这项研究中,提出了一种能够获得AE信号精确到达时间的新方法,以将故障行星齿轮定位在风力涡轮机变速箱中。核心定位概念是确定一个有效的物理参数,该参数表示与距离的线性关系。由于压缩波在任何给定的频带上呈现恒定的速度,因此基于Morlet小波的连续小波变换可用于从AE波的其他分量中提取那些波。将这种方法应用于实际的行星齿轮故障定位后所获得的结果令人满意,这表明该方法为复杂结构中的故障定位提供了多个优势。 (C)2017由Elsevier Ltd.发布

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