Leak detection in transportation pipelines using feature extraction and KNN classification

Pipelines 2009: Infrastructure's Hidden Assets - Proceedings of the Pipelines 2009 Conference

Volumn 360, Issue , 2009, Pages 580-589

  Valizadeh, Sima ^a   Moshiri, Behzad ^a   Salahshoor, Karim ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Classification; Feature extraction; Measurement based; Monitoring; Pipeline leak detection; Software based

Indexed keywords

BAYESIAN CLASSIFIER; CLASSIFICATION; FEATURE EXTRACTION AND CLASSIFICATION; K-NEAREST NEIGHBORS; KNN CLASSIFICATION; LEAK SIGNALS; MATRIX; MEASUREMENT BASED; MULTIPHASE PIPELINES; OPERATIONAL CHANGES; PIPELINE LEAK DETECTION; PIPELINE LEAKS; PRESSURE AND TEMPERATURE; SOFTWARE BASED; TIME DOMAIN; TIME WINDOWS; TIME-DOMAIN SIGNAL; TRANSPORTATION PIPELINES;

CLASSIFIERS; COMPUTER SOFTWARE; LEAK DETECTION; LEARNING SYSTEMS; MONITORING; PIPELINES; SIGNAL DETECTION; TIME DOMAIN ANALYSIS;

FEATURE EXTRACTION;

EID: 70449568985     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41069(360)53     Document Type: Conference Paper

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