The Application Research of the Natural Gas Pipeline Leakage Detection Based on Adaptive Time Frequency Analysis
Xiufang Wang, Bojian Li, Renxue Tan, and Qing Wang
School of Electrical Information Engineering, Northeast Petrolum University, Daqing, China
Abstract—The infrasonic wave signal that produced by the leakage of natural gas pipelines is a non-stationary signal. When the infrasonic waves signal propagating in pipes, it will get serious interference by external Environment, resulting in high misjudgment rate of leakage. So a new method detecting the leakage of natural gas pipelines was put forward according to the leak acoustic signal feature. This method is based on adaptive optimal kernel time-frequency analysis algorithm, through the short-time ambiguity function and the adaptive optimal kernel with time changing, achieve the time-frequency acoustic signal processing and the accurate judgment of pipeline leak acoustic signal when the pipeline is leaked.
Index Terms—pipeline leak, infrasonic wave, adaptive optimal kernel, time-frequency analysis
Cite: Xiufang Wang, Bojian Li, Renxue Tan, and Qing Wang, "The Application Research of the Natural Gas Pipeline Leakage Detection Based on Adaptive Time Frequency Analysis," International Journal of Signal Processing Systems, Vol. 4, No. 4, pp. 334-338, August 2016. doi: 10.18178/ijsps.4.4.334-338
Cite: Xiufang Wang, Bojian Li, Renxue Tan, and Qing Wang, "The Application Research of the Natural Gas Pipeline Leakage Detection Based on Adaptive Time Frequency Analysis," International Journal of Signal Processing Systems, Vol. 4, No. 4, pp. 334-338, August 2016. doi: 10.18178/ijsps.4.4.334-338