Leak Diagnosis of Gas Transport Pipelines Based on Hilbert-Huang Transform

摘要：

In this paper, an algorithm for gas pipeline leak detection based on Hilbert-Huang transform(HHT) studied. And both Fourier transform and HHT transform can be used to decompose pipeline leakage signals. The results that Fast Fourier Transform(FFT) can not get the instantaneous frequency. But the HHT transform decomposes empirical mode decomposition (EMD) to get different scale components. And each component of Hilbert transforms are the actual meaning of the instantaneous frequency. Hilbert-Huang transform can more accurately reflect the actual frequency components of signals. And more suitable for processing nonstationary signal than FFT. And then locates leak according to the time difference of the leak acoustics arriving in the upstream and downstream end. Proved the validity of the method.

关键词： leak detection Hilbert-Huang transform Empirical Mode Decomposition marginal spectrum

作者: Ying Jia Bingkun Gao Chunlei Jiang Sihan Chen

作者单位: Northeast Petroleum University School of Electrical Engineering & Information Daqing, China University of Science and Technology Beijing School of Mechanical Engineering Beijing, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 614-617

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）