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A tacholess order tracking method for wind turbine planetary gearbox fault detection

机译:风力涡轮机行星齿轮箱故障检测的停止顺序跟踪方法

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摘要

Wind turbine (WT) usually works under a poor condition, its operating speed varies almost all the time, therefore, the transmission mechanism of planetary gearbox tends to occur fault to a large extent, and an effective fault detection method for WT planetary gearbox is urgently needed. However, the traditional fault detection methods which are based on constant operating speed assumption will be invalid in such a complex situation, this paper provides a novel tacholess order tracking method based on generalized demodulation (GD) for WT fault detection. Firstly, the conventional GD is modified with dual path optimization ridge estimation (DPORE) strategy, and the main innovative idea of the proposed method is that the phase reference information is obtained from the generator shaft vibration signal through GD and Hilbert transform rather than the gearbox vibration signal. Then the raw gearbox vibration signal could be resampled with uniform angle. Finally, the envelope order spectrum is obtained and the fault characteristic order (FCO) related to the WT planetary gearbox fault can be identified without auxiliary sensors. The effectiveness of the proposed method is demonstrated by real-world WT vibration signals, compound-faults on planetary gearbox can be effectively uncovered and a better performance is obtained when compared with the conventional method. (C) 2019 Elsevier Ltd. All rights reserved.
机译:风力涡轮机(WT)通常在条件下工作,其运行速度几乎随时变化,因此,行星齿轮箱的传动机构趋于在很大程度上发生故障,并且迫切地是WT行星齿轮箱的有效故障检测方法需要。然而,基于恒定操作速度假设的传统故障检测方法在这种复杂情况下是无效的,这篇论文提供了一种基于广义解调(GD)的新型Tacholess订单跟踪方法,用于WT故障检测。首先,通过双路径优化脊估计(DPORE)策略来修改传统的GD,并且所提出的方法的主要创新思想是通过GD和希尔伯特变换而不是齿轮箱从发电机轴振动信号获得相位参考信息振动信号。然后,原始齿轮箱振动信号可以用均匀的角度重新采样。最后,获得信封顺序频谱,并且可以在没有辅助传感器的情况下识别与WT行星齿轮箱故障相关的故障特征顺序(FCO)。通过现实世界的WT振动信号证明了所提出的方法的有效性,可以有效地发现行星齿轮箱上的复合故障,与传统方法相比,获得更好的性能。 (c)2019年elestvier有限公司保留所有权利。

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