Fault detection enhancement in wind turbine planetary gearbox via stationary vibration waveform data
Fault detection enhancement in wind turbine planetary gearbox via stationary vibration waveform data
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DOI：
10.1177/1461348417725950
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发表时间：
2018-09
期刊：
影响因子：
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通讯作者：
S. Abouel-seoud
中科院分区：
文献类型：
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作者：
S. Abouel-seoud
行星齿轮箱故障诊断对于减少停机时间、降低维修成本、提高风力发电机组的安全性、可靠性和使用寿命具有重要意义。本工作报告的结果，通过长期的实验得出的结论，一个有缺陷的行星齿轮箱系统，与横向切割的深度为1.0毫米，厚度为0.2毫米，以模拟行星齿轮箱组件裂纹。对于每个缺陷，每60.0 min采集一次记录，直至试验结束，共记录7次（试验持续时间约6.0 h）。通过增加测试周期，直到齿区域中的剩余金属具有足够的应力以处于塑性变形区域的点，来确保故障。一个实验程序的开发，以评估齿轮箱部件故障的严重程度。在加速故障工况下，对齿轮箱部件行星轮轮齿裂纹、行星轮架裂纹、主轴承内圈裂纹故障进行了试验，并对各种裂纹检测的状态监测指标进行了对比分析。实验局部故障信号（振动加速度信号）进行了相同的诊断技术，如频谱比较，频谱峰度分析，偏度分析，波峰因子分析。该方法是一组种子本地故障的所有齿轮和部件：太阳齿轮，齿圈等，结果看起来很有前途，均方根值分析可以是一个很好的指标相比，与其他指标的早期检测和故障表征。
Planetary gearbox fault diagnosis is very important for reducing the downtime, maintenance cost, and for improving the safety, reliability, and lifespan of wind turbines. The present work reports the results concluded by long-term experiments to a defected planetary gearbox system, with a transverse cut with a depth of 1.0 mm and thickness of 0.2 mm to simulate the planetary gearbox component crack. For each defect, recordings every 60.0 min were acquired and a total of 7 recordings (∼ 6.0 h of test duration) were resulted until the termination of the test. Fault is assured by increasing the test period to the point of where the remaining metal in the tooth area has enough stress to be in the plastic deformation region. An experimental procedure is developed to assess the severity of the gearbox component fault. Gearbox components faults of cracked planet gear tooth, cracked planet gears carrier, and cracked main bearing inner race were tested under accelerated fault conditions, where a comparative analysis of condition monitoring indicators for various crack detection has been done. The experimental localized fault signals (vibration acceleration signals) were subjected to the same diagnostic techniques such as spectrum comparisons, spectral kurtosis analysis, skewness analysis, and crest factor analysis. The method is validated on a set of seeded localized faults on all gears and components: sun gear, ring gear, etc. The results look promising, where the root mean square value analysis could be a good indicator when compared with the other indicators in terms of early detection and characterization of faults.