Gas leak locating in steel pipe using wavelet transform and cross-correlation method

• Published in: International journal of advanced manufacturing technology 2014-02, Vol.70 (5-8), p.1125-1135
• Main Authors: Davoodi, Saman, Mostafapour, Amir
• Format: Article
• Language: English
• Subjects: Acoustic emission testing; Acoustic noise; Acoustic waves; Algorithms; CAE) and Design; Computer-Aided Engineering (CAD; Electric power generation; Emission analysis; Engineering; Error detection; Filtration; Gas pipelines; Industrial and Production Engineering; Industrial plant emissions; Leakage; Mathematical analysis; Mechanical Engineering; Media Management; Natural gas; Original Article; Refineries; Steel pipes; Wavelet analysis; Wavelet transforms
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-013-5367-1

Pipelines leakage in power plant, petrochemical complexes, and refineries can lead to explosion, pollution, and severe physical damages, so precise and on time leak locating is very important. There are many techniques for detecting and locating the leakage. In this research, we represent the leak locating principle in pressurized gas pipelines by using acoustic emission theory. An algorithm for finding the location of continuous acoustic waves resulted from leakage is provided by MATLAB software. The used leak locating technique is a combination of wavelet transform, filtering, and cross-correlation methods. The resulted acoustic emission signals were analyzed into high and low frequencies by wavelet transform and available noises on them were omitted completely by filtering. Then de-noised acoustic emission signals were reconstructed. Time differences of de-noised waves were calculated precisely by using cross-correlation function. For studying the accuracy of used method, acoustic emission testing was done by continuous leakage source. The resulted signals of leakage were recorded by two acoustic sensors in two sides of leakage source, and time difference and leak location were calculated by using the algorithm. Several tests were done by changing sensor distance from leakage source and error percent of less than 3 % was resulted in leak locating that indicated high precision of used algorithm.