Integration of Decision Support Modules to Identify the Priority of Risk of Failure in Topside Piping Equipment: An Industrial Case Study from the NCS

IFIP Advances in Information and Communication Technology

Volumn 440, Issue PART 3, 2014, Pages 521-529

  Seneviratne, A M N D B ^a   Ratnayake, R M Chandima ^a  

^a UNIVERSITY OF STAVANGER   (Norway)

Author keywords

artificial neural networks; decision support modules; ERP software; In service inspection planning; thickness measurement locations; topside piping equipment

Indexed keywords

DECISION SUPPORT SYSTEMS; ENTERPRISE SOFTWARE; FAILURE (MECHANICAL); INDUSTRIAL MANAGEMENT; INSPECTION; KNOWLEDGE BASED SYSTEMS; LOCATION; NEURAL NETWORKS; THICKNESS GAGES; THICKNESS MEASUREMENT;

ARTIFICIAL NEURAL NETWORK MODELING; DATA AND INFORMATION; DECISION SUPPORT MODULES; ENTERPRISE RESOURCE PLANNING (ERP); ERP SOFTWARE; IN-SERVICE INSPECTION; INDUSTRIAL CASE STUDY; OFFSHORE TOPSIDES;

ENTERPRISE RESOURCE PLANNING;

EID: 84906931443     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-662-44733-8_65     Document Type: Conference Paper

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