考虑最小成本的风机轴承维护周期优化

针对风机主轴承可靠度要求高、维护费用高昂这一现状提出了一种基于单位时间维护成本最低的维护优化模型。首先通过对风机主轴承振动信号进行分析,提取能够较好地反映轴承退化过程的特征值,建立威布尔比例风险模型;其次对主轴承退化期内的失效率曲线进行分析,确定主轴承的失效更换阈值;然后通过改进传统的役龄回退因子对维护后的失效率进行修正,通过对模型运算结果进行分析,避免了定期维护出现欠维护的现象;最后确定单位时间内维护成本最优的维护周期。对维护优化模型进行仿真分析,计算结果表明,通过模型优化可以使单位时间维护费用降低14.4%。

Optimization of wind turbine bearing maintenance cycle based on minimum cost

Aiming at the high reliability and high maintenance cost of the main bearing in the wind turbine, a maintenance optimization model based on the lowest maintenance cost per unit time is proposed. Firstly, by analyzing the vibration signal of the main bearing of the wind turbine, the characteristic value which can reflect the degradation process of the bearing is extracted, and then establish the Weibull proportional hazard model. Secondly, the failure rate curve of the main bearing during the degradation period is analyzed to determine the failure replacement threshold of the main bearing; then improve the traditional failure rate by modifying the traditional age return factor, and analyze the model operation results to avoid the phenomenon of under maintenance during regular maintenance; Finally, determine the maintenance cycle with the best maintenance cost per unit time. Analysis of the maintenance optimization model and the calculation results show that the maintenance cost per unit time can be reduced by 14.4% through model optimization.