Hidden Markov models for pipeline damage detection using piezoelectric transducers

Oil and gas pipeline leakages lead to not only enormous economic loss but also environmental disasters. How detect the damages including cracks has attracted much research attention. One of promising leakage detection method is use zirconate titanate (PZT) transducers negative pressure wave when occurs. PZT can generate guided stress waves for crack also. However, or may be easily detected with interference, e.g., oil pipelines in offshore environment. In this paper, a Gaussian mixture model based hidden Markov (GMM-HMM) proposed depth changing environment time-varying operational conditions. Leakages different sections depths are considered as states models (HMM). Laboratory experiments show that GMM-HMM recognize such whether there leakage, where is.