Leak diagnosis of gas transport pipelines based on Hilbert-Huang transform

Leak diagnosis of gas transport pipelines based on Hilbert-Huang transform

Acoustic waves

Empirical Mode Decomposition

Hilbert-Huang transform

leak detection

Leak detection

marginal spectrum

Pipelines

Time frequency analysis

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 non-stationary 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.

614-617

Ying Jia

Bingkun Gao

Chunlei Jiang

Sihan Chen

Proceedings of 2012 International Conference on Measurement, Information and Control

2012

conferencePaper