冲击信号的随机共振自适应检测方法  

Impact Signal Detection Method with Adaptive Stochastic Resonance

作　　者：谭继勇[1,2] 陈雪峰[1] 何正嘉[1] 

机构地区：[1]西安交通大学机械制造系统工程国家重点实验室,西安710049 [2]中国电子科技集团公司第二十九研究所,成都610036

出　　处：《机械工程学报》2010年第23期61-67,共7页Journal of Mechanical Engineering

基　　金：国家自然科学基金重点(50875195);国家重点基础研究发展计划(973计划;2011CB706800);中央高校基本科研业务费专项资助项目

摘　　要：针对冲击信号的检测问题,在分析峭度指标和互相关系数衡量冲击信号的优势与不足的基础上,构造加权峭度指标。该指标兼顾两者的优势,弥补它们各自的不足。将加权峭度指标与变尺度随机共振相结合,提出了一种冲击信号的自适应随机共振检测算法,该算法被用于仿真冲击信号与实际工程中的微弱冲击信号的检测,结果表明所提方法有效提高了信噪比,还避免了漏峰现象。同时,所提的优化指标与随机共振算法独立,对其他冲击信号自适应算法也有参考价值。Based on analyzing the advantages and disadvantages of measuring impact signals with kurtosis index and correlation coefficient respectively,the weighted kurtosis index is constructed to make much of the advantages of the both and compensate for their disadvantages.The impact signal adaptive detecting method,combining the constructed index with the scale transformation stochastic resonance,is applied to the simulation of impact signal and the detection of engineering faint impact signals.The results show that the presented method raises the signal-to-noise ratio,and avoids peak leaking phenomenon.Furthermore,because it is independent of stochastic resonance,the present index can be a reference to other adaptive impact signal detecting methods.

关 键 词：冲击信号 随机共振 自适应 加权峭度指标 

分 类 号：TH17[机械工程—机械制造及自动化]