A novelty detection approach to identify the occurrence of leakage in smart gas and water grids

Proceedings of the International Joint Conference on Neural Networks

Volumn 2015-September, Issue , 2015, Pages

  Fagiani, Marco ^a   Squartini, Stefano ^a   Severini, Marco ^a   Piazza, Francesco ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

Automatic Leakage Detection; Hidden Markov Models; Novelty Detection; Smart Water and Gas Grids

Indexed keywords

ALGORITHMS; LEARNING ALGORITHMS; MARKOV PROCESSES; NATURAL GAS; TRELLIS CODES;

APPLICATION SCENARIO; BACKGROUND MODEL; GAUSSIAN MIXTURE MODEL (GMMS); HIDDEN MARKOV MODELS (HMMS); LEAKAGE DETECTION; NOVELTY DETECTION; RECEIVER OPERATING CHARACTERISTICS; SMART WATER AND GAS GRIDS;

HIDDEN MARKOV MODELS;

EID: 84951205708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2015.7280473     Document Type: Conference Paper

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