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: Fault Diagnosis of Dynamic Systems
    sub title: Quantitative and Qualitative Approaches
  name:
    name part: Escobet, Teresa.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Bregon, Anibal.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Pulido, Belarmino.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Puig, Vicenç.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 462 p. 185 illus., 89 illus. in color. online resource.
  abstract: Fault Diagnosis of Dynamic Systems provides readers with a glimpse into the fundamental issues and techniques of fault diagnosis used by Automatic Control (FDI) and Artificial Intelligence (DX) research communities. The book reviews the standard techniques and approaches widely used in both communities. It also contains benchmark examples and case studies that demonstrate how the same problem can be solved using the presented approaches. The book also introduces advanced fault diagnosis approaches that are currently still being researched, including methods for non-linear, hybrid, discrete-event and software/business systems, as well as, an introduction to prognosis. Fault Diagnosis of Dynamic Systems is valuable source of information for researchers and engineers starting to work on fault diagnosis and willing to have a reference guide on the main concepts and standard approaches on fault diagnosis. Readers with experience on one of the two main communities will also find it useful to learn the fundamental concepts of the other community and the synergies between them. The book is also open to researchers or academics who are already familiar with the standard approaches, since they will find a collection of advanced approaches with more specific and advanced topics or with application to different domains. Finally, engineers and researchers looking for transferable fault diagnosis methods will also find useful insights in the book.
  table of contents: Introduction and Fundamental Concepts -- Case Studies -- Part I: Standard Approaches -- Structural Analysis -- The FDI Approach -- The DX Approach -- Bridge: Integration of FDI and DX Approaches -- Data-Driven Fault Diagnosis -- Discrete-Event Systems Fault Diagnosis -- Part II: Advanced Approaches -- Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems -- Model-Based Diagnosis with Probabilistic Models -- Qualitative Modeling for Fault Diagnosis -- Model Based Fault Diagnosis of Hybrid Systems -- Model-Based Software Debugging -- Diagnosing Business Processes -- Prognosis.
  note: edited by Teresa Escobet, Anibal Bregon, Belarmino Pulido, Vicenç Puig.
  subject:
    topic: Control engineering
  subject:
    topic: System theory
  subject:
    topic: Chemical engineering
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Automotive engineering
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Industrial Chemistry/Chemical Engineering
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  subject:
    topic: Automotive Engineering
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783030177287
  identifier: https://doi.org/10.1007/978-3-030-17728-7
  record info:
    record creation date: 190622
    record change date: 20191027152520.0
    record identifier: 978-3-030-17728-7