基于Weibull分布的岸桥铰点退化特征提取方法研究  

Degradation feature extraction for the ship-to-shore crane turning point based on Weibull distribution

作　　者：侯美慧 胡雄[1] 王冰 孙德建[1] HOU Meihui;HU Xiong;WANG Bing;SUN Dejian(Logistics Engineering College,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学物流工程学院

出　　处：《振动与冲击》2019年第22期198-203,243,共7页Journal of Vibration and Shock

基　　金：国家高技术研究发展计划(863计划)(2013AA041106);国家自然科学基金(31300783)

摘　　要：港口岸桥结构复杂,铰点是小车轨道的关键连接部件。长期承受高速、重载下装卸作业带来的冲击,铰点振动信号具有明显的非线性与非平稳特征。为了准确分析岸桥铰点的性能退化状态,提出一种基于Weibull分布的铰点退化特征提取方法。该方法采用局部最小值法滤除本底噪声,对去噪后的数据建立Weibull分布模型,并应用EDF统计量验证分布的可靠性。提取Weibull分布模型的尺度参数和形状参数,以此作为铰点的性能退化特征参数。采用实际工况下采集的全寿命铰点振动信号进行实例分析,结果表明了该方法的有效性。The structure of the ship-to-shore(STS)crane is complex and the turning point is the key connection component to the trolley structure.The turning point vibration signal is of nonlinear and non-stationary characteristics evidently because of the long-term impact under high-speed heavy loading and unloading operations.Aiming at analyzing the performance degradation condition accurately,a degradation feature extraction method based on Weibull distribution was proposed.The local minimum method was used to filter out the background noise,then a Weibull model,was established and the EDF statistics was employed to verify the reliability of the distribution.The scale parameters and shape parameters were extracted and adopted as characteristic parameters.The whole lifetime test data of a turning point under actual working conditions were taken in an examplic analysis,the results show the effectiveness of the method.

关 键 词：岸桥铰点(STS) WEIBULL分布 性能退化 特征提取 

分 类 号：TH213.8[机械工程—机械制造及自动化]