Robust Acoustical Gas Leak Detection in the Presence of Correlated, Uncorrelated and Impulsive Noises, Using Wavelet-Based Optimized Residual Complexity

Leak detection based on acoustic emission needs robust time delay estimation in the presence of various types of noise. Considering several aspects of leakage signal and noise, the present work introduces wavelet based optimized residual complexity (WORC), in order to minimize the probability of false alarms in the presence of correlated, uncorrelated, and impulsive noise. The proposed method utilizes two approaches simultaneously. First, it optimizes residual complexity “for robustness against both correlated and uncorrelated noise”, then it employs wavelet basis in order to reduce the complexity of mixture of correlated and impulsive noise. In order to compare the resolution and percentage of false alarms of WORC with those of optimized residual complexity and cross correlation, we used both experimental and simulated leakage signals of a gas pipe. The results demonstrate the superiority of WORC in term of robustness in the presence of correlated, uncorrelated, and impulsive noise.