南京大学学报（自然科学版）Issue(z1)：64-71,8.DOI:10.13232/j.cnki.jnju.2015.07.013
基于声传播特性的供水管道泄漏检测与分类
The detection and classification of water supply pipeline leak based on the acoustic propagation characteristics
摘要
Abstract
The existing methods for water supply pipeline leak detection are lack of functions of recognition and classi-fication,and the reliability of traditional manual inspection is low.In response,This paper designs a set of water supply pipeline leak detection and classification scheme based on the HHT transform and BP neural network.It utilizes the power spectrum and HHT transform to extract the typical frequency characteristics for leak detection, and utilizes the normalized energy of IMF component combined with BP neural network for classification and identi-fication of leakage type.We collect a large number of different types of leakage acoustic signal for experiment.It confirms that the scheme has certain practical application value with more than 95% accurate rate for leak detection and classification.关键词
管道泄漏/特征提取/泄漏检测/分类识别Key words
pipeline leakage/feature extraction/leak detection/classification and identification分类
信息技术与安全科学引用本文复制引用
季舒瑶,袁飞,程恩,陈柯宇..基于声传播特性的供水管道泄漏检测与分类[J].南京大学学报（自然科学版）,2015,(z1):64-71,8.基金项目
福建省交通运输科技发展项目(201437),国家自然科学基金(61571377,61471308) （201437）
