A wave change analysis (WCA) method for pipeline leak detection using Gaussian mixture model

Journal of Loss Prevention in the Process Industries

Volumn 25, Issue 1, 2012, Pages 60-69

  Liang, Wei ^a   Zhang, Laibin ^a  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

Author keywords

Gaussian mixture model; Gradient and slope turns rejection; Leak detection; Pipeline

Indexed keywords

A-DENSITY; BAYESIAN INFORMATION CRITERION; BOOSTING METHOD; DENSITY DISTRIBUTIONS; DETECTION METHODS; DETECTION SCHEME; DISTRIBUTION ESTIMATION; DYNAMIC CHARACTERISTICS; FEATURE SPACE; GAUSSIAN MIXTURE MODEL; GRADIENT AND SLOPE TURNS REJECTION; MAJOR PRINCIPAL COMPONENT; NONSTATIONARY; OIL PIPELINE SYSTEMS; PIPELINE LEAKS; PRESSURE DATA; TESTING METHOD; TRANSIENT DATA; WAVE CHANGES; WAVELET PACKET ANALYSIS; WORKING PRESSURES;

GAUSSIAN DISTRIBUTION; LEAK DETECTION; PIPE; PIPELINES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 83255176817     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2011.06.017     Document Type: Article

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