Abstract
A pipeline integrity threat detection system using Distributed Acoustic Sensing and Artificial Intelligence (AI) is presented. The AI uses a combination of Gaussian Mixture Models and Hidden Markov Models (GMMs-HMMs), outperforming our former GMM-based system.
© 2018 The Author(s)
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