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001 978-3-319-15326-1
003 DE-He213
005 20200421112232.0
007 cr nn 008mamaa
008 150417s2015 gw | s |||| 0|eng d
020 _a9783319153261
_9978-3-319-15326-1
024 7 _a10.1007/978-3-319-15326-1
_2doi
050 4 _aTA177.4-185
072 7 _aTBC
_2bicssc
072 7 _aKJMV
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a658.5
_223
245 1 0 _aOntology Modeling in Physical Asset Integrity Management
_h[electronic resource] /
_cedited by Vahid Ebrahimipour, Soumaya Yacout.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXVIII, 264 p. 125 illus., 83 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aISO15926 -- Ontological Analysis and Engineering Standards: An Initial Study of IFC -- FMEA, HAZID and Ontologies -- Ontology Development and Optimization for Data Integration and Decision Making in Product Design and Obsolescence Management -- Fault Diagnosis System based on ontology for fleet case reused -- Integrating Cultural and Regulatory factors in the Bowtie: Moving from Hand-waving to Rigor -- Addressing uncertainty in estimating the cost for a Product-Service-System Delivering Availability -- Ontology-Based Knowledge Platform to Support Equipment Health in Plant Operations.
520 _aThis book presents cutting-edge applications of, and up-to-date research on, ontology engineering techniques in the physical asset integrity domain. Though a survey of state-of-the-art theory and methods on ontology engineering, the authors emphasize essential topics including data integration modeling, knowledge representation, and semantic interpretation. The book also reflects novel topics dealing with the advanced problems of physical asset integrity applications such as heterogeneity, data inconsistency, and interoperability existing in design and utilization. With a distinctive focus on applications relevant in heavy industry, Ontology Modeling in Physical Asset Integrity Management is ideal for practicing industrial and mechanical engineers working in the field, as well as researchers and graduate concerned with ontology engineering in physical systems life cycles. This book also: Introduces practicing engineers, research scientists, and graduate students to ontology engineering as a modeling technique applicable in large-scale and complex system engineering Maximizes readers' understanding of the concepts of physical and plant asset integrity as they affect production and environment sustainability Emphasizes interoperability and interrelation among the different stages of a system life cycle analysis in complex, industrial facilities Features a glossary, a bibliography, and example problems/solutions illustrating applications of ontology engineering in industry.
650 0 _aEngineering.
650 0 _aManagement.
650 0 _aIndustrial management.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aEngineering economics.
650 0 _aEngineering economy.
650 1 4 _aEngineering.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aInnovation/Technology Management.
700 1 _aEbrahimipour, Vahid.
_eeditor.
700 1 _aYacout, Soumaya.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319153254
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-15326-1
912 _aZDB-2-ENG
942 _cEBK
999 _c58070
_d58070