Image rotation method for identification of NPW signals in the localization of pipeline leakage |
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| Institution: | 1. Guangdong Engineering Center for Structure Safety and Health Monitoring, Department of Civil and Environmental Engineering, Shantou University, Shantou, Guangdong Province, China;2. MOE Key Laboratory of Intelligent Manufacturing Technology, College of Engineering, Shantou University, Shantou, Guangdong Province, China;3. China Petroleum Pipeline Engineering Co.,Ltd., Langfang, Hebei Province, China;4. Department of Electronic and Information Engineering, Shantou University, Shantou, Guangdong Province, China;1. Instituto de Ingeniería, Universidad Nacional Autónoma de México, 04510 Mexico, DF, Mexico;2. Instituto Mexicano del Petróleo, 07730 Mexico, DF, Mexico;1. State Key Laboratory of Explosion Science and Technology, School of Mechatronic Engineering, Beijing Institute of Technology, Beijing, 100081, China;2. Beijing Institute of Technology Chongqing Innovation Center, Chongqing, 401120, China;3. Explosion Protection and Emergency Disposal Technology Engineering Research Center of the Ministry of Education, Beijing, 100081, China;4. School of Safety Science & Engineering, Xi''an University of Science and Technology, 58, Yanta Mid. Rd., Xi''an, 710054, Shaanxi, China;1. School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China;2. Xi''an Modern Chemistry Research Institute, Xi''an, 710065, China;1. “Ilie Murgulescu” Institute of Physical Chemistry, Romanian Academy, 202 Spl. Independentei, 060021, Bucharest, Romania;2. Physikalisch-Technische Bundesanstalt (PTB), 100 Bundesallee, 38116, Braunschweig, Germany |
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| Abstract: | Gas and oil are mainly transported through long-distance pipelines on land. Pipeline leaks lead to severe hazards to the environment and economy and even imperil human lives. Negative pressure wave (NPW)-based methods are fast and effective for leak monitoring and localization. The key problem for an NPW-based method is to determine the NPW and its arrival time, which is characterized by the knee point in the time domain signal. In this paper, an image rotation method is proposed based on the shape characteristic of the time domain signal induced by an NPW. Through image rotation, the knee point turns into the highest point, which is easy to detect. To verify the performance of the proposed method, leakage experiments were conducted on liquid and gas pipeline models. Previously developed FBG pipe fixture sensors were used to detect an NPW. These sensors were equidistantly installed on the pipeline, forming a sensor array. Based on the sensing array, a novel leak localization algorithm was used to compute the leakage position. The experimental results indicated that the image rotation method has good performance for identifying an NPW, even though many noise- and pressure-induced fluctuations exist in the signals. This method enables automated real-time monitoring and has potential for practical application. |
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| Keywords: | Pipeline Leakage localization Negative pressure wave Image rotation FBG Knee point |
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