基于形态分形与滑动窗威布尔拟合的岸桥减速箱退化特征在线提取  

Online Degradation Feature Extraction of Shore Bridge Gearbox based on Morphological Fractal and Sliding Window Weibull Fitting

作　　者：孙德建[1] 胡雄[1] 王冰 王微[1] 林积昶 Sun Dejian;Hu Xiong;Wang Bing;Wang Wei;Lin Jichang(Logistics Engineering College,Shanghai Maritime University,Shanghai 201306,China;32145 Force of the People′s Liberation Army of China,Xinxiang ,453000 China)

机构地区：[1]上海海事大学物流工程学院,上海201306 [2]中国人民解放军32145部队,河南新乡453000

出　　处：《机械传动》2019年第9期148-153,共6页Journal of Mechanical Transmission

基　　金：国家高新技术研究发展计划(863)(2013A20411606);国家自然科学基金(31300783);中国博士后科学基金(2014M561458);上海高校一流学科——管理科学与工程资助项目

摘　　要：针对起升机构齿轮箱的退化特征提取问题,提出一种基于数学形态分形维数与滑动窗威布尔拟合的退化特征在线提取方法。首先,按照分析周期计算振动能量谱的形态分形维数,形成分形演化曲线;设置滑动窗口宽度与步长,对窗口内的分形序列进行三参数威布尔拟合,以模型的尺度参数作为性能退化特征指标;采用工业现场监测的起升机构齿轮箱全寿命数据作为基础,验证了该方法的有效性。结果表明,数学形态分形维数能够刻画振动能量谱的分形复杂度,威布尔分布的尺度参数能够平滑地反映分形曲线的性能退化趋势,为进一步解决在线健康状态评估问题奠定理论方法基础。In order to solve the degenerative feature extraction issue of hoisting mechanism gearbox,an online extraction method for degeneration feature based on mathematical morphological fractal dimension and sliding window Weibull fitting is proposed.Firstly,according to the analysis period,the fractal dimension of the vibration energy spectrum is calculated and forming a fractal evolution curve.Performing a three-parameter Weibull fitting on the fractal sequence in the window after setting the sliding window width and step size and the scale parameter of the model is used as the performance degradation feature indicator.The effectiveness of the method is verified by using the full-life data of the hoisting gearbox of the industrial site monitoring.The results show that the mathematical morphological fractal dimension is able to describe the fractal complexity of vibration energy spectrum.The scale parameter of Weibull distribution is able to reflect the performance degradation trend of fractal curve smoothly,which lays a theoretical foundation for further solving the problem of online health assessment.

关 键 词：岸桥 退化特征提取 分形维数 威布尔分布 齿轮箱 

分 类 号：TH132.46[机械工程—机械制造及自动化]