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 and sustainable control of wind turbines
    sub title: robust data-driven and model-based strategies
  name:
    name part: Simani, Silvio
    name part: 1971-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Farsoni, Saverio
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant ('sustainable') control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The book also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. In order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware-in-the-loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations. Different groups of readers-ranging from industrial engineers wishing to gain insight into the applications' potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle-will find much to learn from this work.
  table of contents: Machine generated contents note: 1. Introduction -- 1.1. Introduction -- 1.2. Motivations -- 1.3. Nomenclature -- 1.4. Introduction to Wind Turbine Modeling -- 1.5. Introduction to Fault Diagnosis Methods -- 1.6. Introduction to Fault Tolerant Control Methods -- 1.7. Modeling and Advanced Control Benchmarking -- 1.8. Outline of the Monograph -- 1.9. Summary -- 2. System and Fault Modeling -- 2.1. Introduction -- 2.2. System Description -- 2.2.1. Wind Turbine Categories -- 2.3. Wind Turbine Main Components -- 2.3.1. Aerodynamic System -- 2.3.2. Drive-Train Model -- 2.3.3. Load Carrying Structure and Blade Models -- 2.3.4. Power System Model -- 2.3.5. Pitch System Model -- 2.3.6. Wind Model -- 2.3.7. Model-Reality Mismatch -- 2.3.8. Actuator and Sensor Models -- 2.3.9. Overall Model Structure -- 2.4. Wind Turbine Control Issues -- 2.4.1. Advanced Control Solutions -- 2.4.2. Wind Turbines Feedback Control -- 2.4.3. Structural and Drive-Train Stress Damper -- 2.4.4. Bumpless Transfer -- 2.5. Wind Turbine Benchmark -- 2.5.1. Wind Turbine Benchmark Model -- 2.5.2. Wind Turbine Controller Model -- 2.5.3. Measurement Model -- 2.5.4. Wind Turbine Fault Scenario -- 2.5.5. Model Parameters -- 2.5.6. Wind Turbine Benchmark Overall Model -- 2.6. Wind Farm Benchmark -- 2.6.1. Wind and Wake Model -- 2.6.2. Wind Farm Benchmark Overall Model -- 2.6.3. Wind Farm Fault Scenario -- 2.6.4. Model Parameters -- 2.7. Fault Analysis -- 2.7.1. Failure Mode and Effect Analysis -- 2.7.2. Fault Specifications and Requirements -- 2.8. Summary -- 3. Fault Diagnosis for Wind Turbine Systems -- 3.1. Introduction -- 3.1.1. Plant and Fault Models -- 3.1.2. Residual Generation General Scheme -- 3.1.3. Residual Evaluation for Change Detection -- 3.2. Residual Generation Model-Based Approaches -- 3.2.1. Parity Space Methods -- 3.2.2. Observer-Based Methods -- 3.2.3. Filtering Methods -- 3.2.4. Nonlinear Geometric Approach Method to FDI -- 3.3. Residual Generation Data-Driven Approaches -- 3.3.1. Recursi…
  note: Silvio Simani, Saverio Farsoni.
  note: Includes bibliographical references and index.
  subject:
    topic: Wind turbines
  subject:
    topic: Éoliennes
  subject:
    topic: wind turbines
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Mechanical
  subject:
    topic: Wind turbines
  classification: TJ828
  classification: 621.31/2136
  identifier: 9780128129852
  identifier: 0128129859
  identifier: 0128129840
  identifier: 9780128129845
  identifier: 9780128129852 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 180108
    record change date: 20260327152824.9
    record identifier: in00005762749
    language of cataloging:
      language term: eng