國立虎尾科技大學 |

Ontology Modeling in Physical Asset Integrity Management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Ontology Modeling in Physical Asset Integrity Management/ edited by Vahid Ebrahimipour, Soumaya Yacout.
other author:	Ebrahimipour, Vahid.
Description:	XVIII, 264 p. 125 illus., 83 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering economics. -
Online resource:	https://doi.org/10.1007/978-3-319-15326-1
ISBN:	9783319153261

Ontology Modeling in Physical Asset Integrity Management
Ontology Modeling in Physical Asset Integrity Management[electronic resource] /edited by Vahid Ebrahimipour, Soumaya Yacout. - 1st ed. 2015. - XVIII, 264 p. 125 illus., 83 illus. in color.online resource.

ISO15926 -- 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.

This 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.

ISBN: 9783319153261

Standard No.: 10.1007/978-3-319-15326-1doiSubjects--Topical Terms:

1253802
Engineering economics.

LC Class. No.: TA177.4-185

Dewey Class. No.: 658.5

Ontology Modeling in Physical Asset Integrity Management
LDR:03481nam a22004095i 4500 001 967384
003 DE-He213
005 20200705010354.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319153261 $9 978-3-319-15326-1
024 7 $a 10.1007/978-3-319-15326-1 $2 doi
035 $a 978-3-319-15326-1
050 4 $a TA177.4-185
072 7 $a TBC $2 bicssc
072 7 $a TEC000000 $2 bisacsh
072 7 $a TBC $2 thema
072 7 $a KJMV $2 thema
082 0 4 $a 658.5 $2 23
245 1 0 $a Ontology Modeling in Physical Asset Integrity Management $h [electronic resource] / $c edited by Vahid Ebrahimipour, Soumaya Yacout.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XVIII, 264 p. 125 illus., 83 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a ISO15926 -- 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 $a This 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 $a Engineering economics. $3 1253802
650 0 $a Engineering economy. $3 632434
650 0 $a Applied mathematics. $3 1069907
650 0 $a Engineering mathematics. $3 562757
650 0 $a Management. $3 558618
650 0 $a Industrial management. $3 556510
650 1 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 669171
650 2 4 $a Mathematical and Computational Engineering. $3 1139415
650 2 4 $a Innovation/Technology Management. $3 786196
700 1 $a Ebrahimipour, Vahid. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1263037
700 1 $a Yacout, Soumaya. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1263038
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319153254
776 0 8 $i Printed edition: $z 9783319153278
776 0 8 $i Printed edition: $z 9783319355856
856 4 0 $u https://doi.org/10.1007/978-3-319-15326-1
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)