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基于知识的管道系统泄漏检测方法
引用本文:刘祖德,赵云胜,郑莉.基于知识的管道系统泄漏检测方法[J].安全与环境工程,2006,13(4):85-87.
作者姓名:刘祖德  赵云胜  郑莉
作者单位:中国地质大学工程学院,武汉,430074
摘    要:提出了3种基于知识的管道系统泄漏检测方法,分别是:通过对负压波波形分段符号化处理,采用上下文无关法表示波形结构模式的模式识别诊断系统;以选取合适维数的功率谱特征向量而建立的神经网络泄漏检测系统;与泄漏机理数学模型结合的泄漏诊断专家系统。

关 键 词:泄漏  模式识别  神经网络  专家系统
文章编号:1671-1556(2006)04-0085-03
收稿时间:2006-10-10
修稿时间:2006年10月10

The Leakage Detection Methods of the Piping System Based on Knowledge
LIU Zu-de,ZHAO Yun-sheng,ZHENG Li.The Leakage Detection Methods of the Piping System Based on Knowledge[J].Safety and Environmental Engineering,2006,13(4):85-87.
Authors:LIU Zu-de  ZHAO Yun-sheng  ZHENG Li
Institution:Faculty of Engineering, China University of Geosciences ,Wuhan 430074, China
Abstract:This paper puts forward three leakage detection methods of the piping system based on the knowledge.The first is the diagnosis system which symbolizes the negative wave form in segment mode and uses the contextfree grammar of symbolic representation of the wave form to identify the mode.The second is the neural network detection system which uses a neural network with the input matrix composed by stress wave characteristics in time domain or frequency domain to classify various situations of the pipeline.And the last is the leakage diagnosis expert system which combines the leakage mechanism mathematics model.
Keywords:leakage of pipeline  pattern recognition  neural network  expert system
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