rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Reliability analysis for asset management of electric power grids
  name:
    name part: Ross, Robert D.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2019
    copyright date: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: A practical guide to facilitate statistically well-founded decisions in the management of assets of an electricity grid Effective and economic electric grid asset management and incident management involve many complex decisions on inspection, maintenance, repair and replacement. This timely reference provides statistically well-founded, tried and tested analysis methodologies for improved decision making and asset management strategy for optimum grid reliability and availability. The techniques described are also sufficiently robust to apply to small data sets enabling asset managers to deal with early failures or testing with limited sample sets. The book describes the background, concepts and statistical techniques to evaluate failure distributions, probabilities, remaining lifetime, similarity and compliancy of observed data with specifications, asymptotic behavior of parameter estimators, effectiveness of network configurations and stocks of spare parts. It also shows how the graphical representation and parameter estimation from analysis of data can be made consistent, as well as explaining modern upcoming methodologies such as the Health Index and Risk Index. Key features: -Offers hands-on tools and techniques for data analysis, similarity index, failure forecasting, health and risk indices and the resulting maintenance strategies.-End-of-chapter problems and solutions to facilitate self-study via a book companion website. The book is essential reading for advanced undergraduate and graduate students in electrical engineering, quality engineers, utilities and industry strategists, transmission and distribution system planners, asset managers and risk managers.
  table of contents: Basics of Statistics and Probability -- Measures in Statistics -- Specific Distributions -- Graphical Data Analysis -- Parameter Estimation -- System and Component Reliability -- System States, Reliability and Availability -- Application to Asset and Incident Management -- Miscellaneous Subjects -- Appendix A Weibull Plot -- Appendix B Laplace Transforms -- Appendix C Taylor Series -- Appendix D SI Prefixes -- Appendix E Greek Characters -- Appendix F Standard Weibull and Exponential Distribution -- Appendix G Standardized Normal Distribution -- Appendix H Standardized Lognormal Distribution -- Appendix I Gamma Function -- Appendix J Plotting Positions.
  note: Robert D. Ross, IWO, Ede, the Netherlands, TU Delft, Delft, the Netherlands.
  note: Includes bibliographical references.
  subject:
    topic: Electric power distribution
    topic: Reliability
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Mechanical
  subject:
    topic: Electric power distribution
    topic: Reliability
  classification: TK3001 .R67 2019
  classification: 621.319
  related item:
    title info:
      title: Reliability analysis for asset management of electric power grids
    name:
      name part: Ross, Robert D.
    origin info:
      publisher: Hoboken, NJ : Wiley, [2018]
    identifier: (DLC) 2018031845
  identifier: 1119125189
  identifier: 9781119125198
  identifier: 1119125197
  identifier: 9781119125204
  identifier: 1119125200
  identifier: 9781119125181
  identifier: 1119125170
  identifier: 9781119125174
  identifier: 9781523128464
  identifier: 1523128461
  identifier: 2018033843
  identifier: 8618626 IEEE
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 180714
    record change date: 20230110224313.4
    record identifier: in00004639105
    language of cataloging:
      language term: eng