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Case study on the effectiveness of gear fault diagnosis technique for gear tooth defects under fluctuating speed

机译:齿轮转速波动下齿轮故障诊断技术有效性的案例研究

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摘要

Gears are very reliable parts of wind turbines and normally contribute for more than 5 years without failure when operated under fluctuating speed conditions. This case study presents the effectiveness of gear fault diagnosis techniques to highlight cracked tooth, chipped tooth and missing tooth gear under fluctuating speed conditions. Various measuring parameters such as overall vibration acceleration and envelope-detected acceleration were calculated for vibration signal, and sound intensity and sound pressure were calculated for acoustic signal. A statistical indicator kurtosis was also calculated for both vibration signal and acoustic signal. These measuring parameters were then compared with showing the fault detection capability of techniques employed under fluctuating speed and also under different loading conditions. The detection of faults by kurtosis of acoustic signal is found most efficient. For low load conditions, envelope-detected acceleration of vibration signal can also support fault diagnosis under fluctuating speed conditions.
机译:齿轮是风力涡轮机中非常可靠的部件,并且在波动的速度条件下运行时,齿轮通常使用寿命超过5年而不会失效。本案例研究提出了齿轮故障诊断技术的有效性,该技术可在速度变化情况下突出显示齿轮破裂,齿裂和缺齿。计算振动信号的各种测量参数,例如总振动加速度和包络线检测到的加速度,并计算声学信号的声强和声压。还为振动信号和声学信号计算了统计指标峰度。然后将这些测量参数进行比较,以显示在波动速度下以及在不同负载条件下采用的技术的故障检测能力。发现通过声音信号的峰度来检测故障是最有效的。对于低负载条件,在速度变化的情况下,包络检测到的振动信号加速度也可以支持故障诊断。

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