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Ontology Modeling in Physical Asset Integrity Management

  • Vahid Ebrahimipour
  • Soumaya Yacout

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Soumaya Yacout, Vahid Ebrahimipour
    Pages 1-16
  3. Stefano Borgo, Emilio M. Sanfilippo, Aleksandra Šojić, Walter Terkaj
    Pages 17-43
  4. Tor Stålhane
    Pages 45-85
  5. Alexandre Voisin, Gabriela Medina-Oliva, Maxime Monnin, Jean-Baptiste Leger, Benoît Iung
    Pages 133-169
  6. Yee Mey Goh, Linda Newnes, Ettore Settanni, Nils Thenent, Glenn Parry
    Pages 199-219
  7. Back Matter
    Pages 257-264

About this book

Introduction

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

Keywords

Asset Integrity Management Intelligent Fault Prognosis Maintenance Knowledge Management OWL Representation Ontology Engineering Ontology Modeling Physical Asset Integrity RAMS Integration Modeling

Editors and affiliations

  • Vahid Ebrahimipour
    • 1
  • Soumaya Yacout
    • 2
  1. 1.Dept. of Industrial Engineering & MathematicsPolytechnique University of MontrealMontrealCanada
  2. 2.Dept. of Industrial Engineering & MathematicsPolytechnique University of MontrealMontrealCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-15326-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-15325-4
  • Online ISBN 978-3-319-15326-1
  • Buy this book on publisher's site
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