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Volumn 15, Issue 6, 2002, Pages 497-505

An inverse approach for piping networks monitoring

Author keywords

Artificial neural networks; Fluid distribution piping; Hazardous substance transportation; Leakage monitoring; Pipeline systems; Safety

Indexed keywords

BACKPROPAGATION; CONDITION MONITORING; HAZARDOUS MATERIALS; HAZARDOUS MATERIALS SPILLS; INDUSTRIAL PLANTS; INVERSE PROBLEMS; LEAKAGE (FLUID); NEURAL NETWORKS;

EID: 0036841248     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-4230(02)00036-0     Document Type: Article
Times cited : (29)

References (33)
  • 9
    • 0011662541 scopus 로고
    • ECIG European Gas Pipeline Incident Group, Report 1970-1992, Secr. Gasunie, Groningen
    • (1993) Gas Pipeline Incidents


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.