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Volumn 15, Issue 6, 2002, Pages 497-505
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An inverse approach for piping networks monitoring
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Author keywords
Artificial neural networks; Fluid distribution piping; Hazardous substance transportation; Leakage monitoring; Pipeline systems; Safety
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Indexed keywords
BACKPROPAGATION;
CONDITION MONITORING;
HAZARDOUS MATERIALS;
HAZARDOUS MATERIALS SPILLS;
INDUSTRIAL PLANTS;
INVERSE PROBLEMS;
LEAKAGE (FLUID);
NEURAL NETWORKS;
FLUID DISTRIBUTION SYSTEMS;
PIPING SYSTEMS;
ARTIFICIAL NEURAL NETWORK;
HAZARD MANAGEMENT;
PIPING;
SAFETY;
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EID: 0036841248
PISSN: 09504230
EISSN: None
Source Type: Journal
DOI: 10.1016/S0950-4230(02)00036-0 Document Type: Article |
Times cited : (29)
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References (33)
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