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Leak Detection of Gas Pipelines Based on characteristics of Acoustic Leakage and Interfering Signals

Sound & Vibration 2019年第4期53卷 111-128页

作者： Lingya Meng Cuiwei Liu Liping Fang Yuxing Li Juntao Fu College of Information and Control Engineering China University of PetroleumQingdaoChina. Provincial Key Laboratory of Oil and Gas Storage and Transportation Safety University of PetroleumQingdaoChina. China SINOPEC Natural Gas Corporation BeijingChina.

When acoustic method is used in leak detection for natural gas pipelines,the external interferences including operation of compressor and valve,pipeline knocking,etc.,should be distinguished with acoustic leakage signals to improve the accuracy and reduce false alarms.In this paper,the technologies of extracting characteristics of acoustic signals were summarized.The acoustic leakage signals and interfering signals were measured by experiments and the characteristics of time-domain,frequency-domain and time-frequency domain were extracted.The main characteristics of time-domain are mean value,root mean square value,kurtosis,skewness and correlation function,etc.The features in frequency domain were obtained by frequency spectrum analysis and power spectrum density,while time-frequency analysis was accomplished by short time Fourier transform.The results show that the external interferences can be removed effectively by the characteristics of time domain,frequency domain and time-frequency domain.It can be drawn that the acoustic leak detection method can be applied to natural gas pipelines and the characteristics can help reduce false alarms and missing alarms.

关键词： Leak detection acoustic method signal processing external interference characteristic extraction

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Method of Fire Image Identification Based on Optimization Theory

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Journal of Systems Engineering and Electronics 2002年第2期13卷 78-83页

作者： Lu Jiecheng, Ding Ding, Wu Longbiao & Song WeiguoDept. of Electronic Science and Technology, University of Science and Technology of China, Hefei 230026, P. R. China(Received March 3, 2001) Dept. of Electronic Science and Technology University of Science and Technology of China Hefei 230026 P. R. China

In view of some distinctive characteristics of the early-stage flame image, a corresponding method of characteristic extraction is presented. Also introduced is the application of the improved BP algorithm based on the optimization theory to identifying fire image characteristics. First the optimization of BP neural network adopting Levenberg-Marquardt algorithm with the property of quadratic convergence is discussed, and then a new system of fire image identification is devised. Plenty of experiments and field tests have proved that this system can detect the early-stage fire flame quickly and reliably.

关键词： Fire flame characteristic extraction Optimization theory Levenberg-Marquardt algorithm.

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