Measurement error sensitivity analysis for detecting and locating leak in pipeline using ANN and SVM

2014 IEEE 11th International Multi-Conference on Systems, Signals and Devices, SSD 2014

Volumn , Issue , 2014, Pages

  Nasir, Mohammad Tariq ^a   Mysorewala, Muhammad ^a   Cheded, Lahouari ^a   Siddiqui, Bilal ^a   Sabih, Muhammad ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Artificial neural network; Leak detection and localization; Pipeline; Support vector machines

Indexed keywords

COMPUTER SIMULATION; MATLAB; NEURAL NETWORKS; PIPELINES; PRESSURE SENSORS; SIGNAL DETECTION;

DETECTION AND LOCALIZATION; DIFFERENTIAL PRESSURE SENSOR; EPANET SOFTWARE; ERROR SENSITIVITY ANALYSIS; INPUT-OUTPUT DATA; LEAK LOCATIONS; PIPE-LINE SYSTEMS; SENSOR MEASUREMENTS;

SUPPORT VECTOR MACHINES;

EID: 84901347589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSD.2014.6808847     Document Type: Conference Paper

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