文章摘要
李迎春,付兴建,刘培培,薛琴.管道盗油事件监测与提升小波熵分析[J].机床与液压,2016,44(2):147-150
管道盗油事件监测与提升小波熵分析
Monitoring and Lifting Wavelet Entropy Analysis for Stealing Oil Events of Pipeline
  
DOI:10.3969/jissn1001-3881201602046
中文关键词: 盗油事件  实时监测  DSP  提升小波熵
英文关键词: Stealing oil event  Monitoring in real time  DSP  Lifting wavelet entropy
基金项目:河北省教育厅项目(QN20131129;Z2014163); 北京市自然科学基金资助项目(4132009); 北京市属高等学校高层次人才引进与培养计划项目(CIT&TCD201304120)
作者单位E-mail
李迎春 北华航天工业学院电子工程系 liying_chun@163.com 
付兴建 北华航天工业学院电子工程系  
刘培培 北华航天工业学院电子工程系  
薛琴 北华航天工业学院电子工程系  
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中文摘要:
      介绍管道安全实时监测系统,给出DSP处理模块硬件结构;简述管道盗油事件的提升小波熵分析方法;并对所采集的管道振动信号进行了提升小波分解与熵值计算,给出盗油事件和盗油事件的识别方法。实验结果表明:提升小波熵法能够实时有效地识别管道盗油事件,且该方法计算简单,编程容易实现,具有广阔的应用前景。
英文摘要:
      Real time pipeline safety monitoring system was presented and the DSP processing module hardware structure was given. The method of lifting wavelet entropy was described. The lifting wavelet entropy values of pipeline signals were counted, and identification method for stealing oil events was given. Experimental results demonstrate that lifting wavelet entropy method can be used to identify effectively real time pipeline stealing oil event. At the same time, this method is simple and easy to implement programming, which has broad application prospects.
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