边带能量比技术在风电齿轮缺陷检测中的应用评价

Pattabiraman T.R. , Srinivasan K. , Malarmohan K.
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引用次数: 25

摘要

齿轮箱故障是风力涡轮机中风险最高的事件之一。在大多数风力涡轮机中,行星齿轮箱优于传统齿轮箱,因为它们具有显著的优势。但是,由于行星齿轮箱的设计和构造复杂,振动传感器的类型和位置,振动的频率范围广,分离频率所需的分辨率以及观察频谱中低频和高频分量所需的动态范围,因此行星齿轮箱的状态监测给振动分析人员带来了巨大的挑战。由于齿轮啮合频率(GMF)信号较强,齿轮缺陷振动特性往往能在整体振动信号中得到抑制。因此,有必要开发或利用各种特殊的信号处理技术,以便更有效地识别和监测齿轮缺陷的进展。本文重点研究了一种用于监测风力发电机齿轮箱齿轮缺陷进展的边带能量比技术。本文通过三个实例,介绍了SER的理论基础及其在齿轮缺陷监测中的意义。在所有三个案例研究中,发现2XGMF的SER比1XGMF对齿轮缺陷进展更敏感。
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Assessment of sideband energy ratio technique in detection of wind turbine gear defects

Gearbox failure is one of the highest risk events in wind turbines. In most of the wind turbines, planetary gearboxes are preferred over conventional gearboxes due to their significant advantages. But condition monitoring of planetary gearboxes present a huge challenge to the vibration analysts due to complex design and construction of its unit, vibration transducer type and locations, wide frequency range of the vibrations, resolution required to separate frequencies and dynamic range required to observe both low frequency and high frequency components in the spectrum.

Due to strong Gear Mesh Frequency (GMF) signals, gear defect vibration characteristics can often be suppressed in the overall vibration signal. So there is a need to develop or utilize various special signal processing techniques in order to identify and monitor the progression of defects in gears more effectively.

This paper focuses on one such technique namely Sideband Energy Ratio (SER) for monitoring of gear defect progression in wind turbine gearboxes. Theory behind SER is and its significance in gear defect monitoring is presented in this paper through three case studies. In all the three case studies, SER of 2XGMF were found to be more sensitive than 1XGMF towards gear defect progression.

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