CORC  > 清华大学
基于模型的管道泄漏监测抗扰动方法研究
娄身强 ; 叶昊 ; 杨红英 ; LOU Shen-qiang ; YE Hao ; YANG Hong-ying
2010-06-09 ; 2010-06-09
关键词管道 泄漏 故障检测 鲁棒性 pipelines leak fault detection robustness TE973.6
其他题名Model Based Method for Reducing False Alarm Rate in Leak Detection
中文摘要在输油管道泄漏监测中,站上扰动所导致的频繁误报会严重影响用户对系统的信心。为降低站上扰动带来的泄漏误报,提出了一种基于统计建模和小波变换的泄漏监测系统抗扰动算法。该算法利用模型残差在泄漏和站上扰动两种情况下的差异,使用小波变换的方法将二者区分开来,从而有效地排除了站上扰动带来的误报。基于某实际管线的历史数据的离线测试表明,同该管道中实际运行的监测系统相比,该算法可以使三个月的误报次数从16次降低到5次。; In leak detection of oil pipelines,false alarms caused by normal operations at the station may badly reduce the user confidence in leak detection systems.An efficient algorithm is proposed based on statistical modeling and wavelet transform to reduce this kind of false alarm.Based on the great difference in model residual between leak and operation,the algorithm distinguishes operation from leak by using the result of wavelet transform.Offline test results based on a set of data of three months show that,compared with the old leak detection system running at a real pipeline,the new method can reduce the total number of false alarm from 16 to 5.
语种中文 ; 中文
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/57780]  
专题清华大学
推荐引用方式
GB/T 7714
娄身强,叶昊,杨红英,等. 基于模型的管道泄漏监测抗扰动方法研究[J],2010, 2010.
APA 娄身强,叶昊,杨红英,LOU Shen-qiang,YE Hao,&YANG Hong-ying.(2010).基于模型的管道泄漏监测抗扰动方法研究..
MLA 娄身强,et al."基于模型的管道泄漏监测抗扰动方法研究".(2010).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace