Leak detection based on estimation of distribution algorithm and wavelet transform
Title
Leak detection based on estimation of distribution algorithm and wavelet transform
Subject
Adaptation models
Artificial intelligence
Distribution estimation algorithm
Quantization (signal)
The leak positioning
Wavelet transform
Description
Because of the problems that low location positioning accuracy and more number of iterations of traditional artificial intelligence algorithms that applied to detect the gas leakage. This paper proposes a distribution estimation algorithm based on wavelet transform and the method is used to diagnosis of pipeline leakage. Through the wavelet analysis to the signal, singular value information about upstream and downstream signals can be got and be used as the initial population in the method. And probability model of the individual's distribution in the space is established and sample the model. Gradually, the optimal probability vector within the solution space can be improved. The simulation results show that distribution estimation algorithm was applied to gas pipeline leakage detection positioning has a better position precision and good fault tolerance.
1208-1211
Creator
Xiufang Wang
Yingwei Guo
Running Gao
Publisher
Proceedings of 2013 2nd International Conference on Measurement, Information and Control
Date
2013
Type
conferencePaper
Collection
Citation
Xiufang Wang, Yingwei Guo, and Running Gao, “Leak detection based on estimation of distribution algorithm and wavelet transform,” Lamar University Midstream Center Research, accessed May 13, 2024, https://lumc.omeka.net/items/show/27230.