一种应用改进符号序列熵与滑动窗奇异值的退化特征提取方法

为了准确跟踪岸桥关键部件的性能退化状态,提出一种基于改进符号序列熵与滑动窗奇异值的在线退化特征提取方法.针对岸桥工况特殊、振动随机冲击频繁的特点,引入阈值因子并改进序列符号化方法,在保留方向变化信息的同时兼顾"粗粒化"的幅值变化信息,从而提高符号序列熵滤除随机冲击、刻画振动信号复杂度大小的能力.在线计算振动信号的改进符...

A kind of degradation feature extraction using improved symbolic sequence entropy and sliding window singular value

In order to track performance degradation condition of shore bridge key components accurately,an online degradation feature extraction method based on improved symbol sequence entropy and sliding window singular value is proposed.In view of the special character of the shore bridge and the frequent random vibration impact,a threshold factor is introduced and the sequence symbolization method is improved.The information of the amplitude change of the"coarse grain"is also taken into account while retaining the direction information,thereby,improving the ability of filtering impact and characterizing signal complexity.The improved symbol sequence entropy of the vibration signal is calculated online,combining with the sliding window method,the singular value of the improved sequence entropy sequence is extracted cyclically,which is used as the online degradation feature of the key components of the shore bridge.The full-life vibration signals from the lifting gearbox and track hinge point of Shanghai Port Container Terminal are used to analyze the results.The results show that the sliding window singular value can describe the performance degradation degree of the lifting gearbox and track hinge point.The deeper the degradation degree is,the larger the singular value is.It has the advantages of stable and fast calculation.It can also lay a method foundation for accurately tracking and evaluating health status.