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: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems
  name:
    name part: Ding, Steven X.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 300 p. 106 illus., 101 illus. in color. online resource.
  abstract: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods, and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
  table of contents: From the Contents: Introduction -- Objectives, tasks and basic concepts -- An introduction to the representative technical processes -- Data-driven realization of the basic GLR scheme -- Principal component analysis, its variations and applications -- Partial least squares, its variations and applications.
  note: by Steven X. Ding.
  subject:
    topic: Engineering
  subject:
    topic: Engineering design
  subject:
    topic: Control engineering
  subject:
    topic: Engineering
  subject:
    topic: Engineering Design
  subject:
    topic: Control
  classification: TA174
  classification: 620.0042
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Industrial Control
  identifier: 9781447164104
  identifier: http://dx.doi.org/10.1007/978-1-4471-6410-4
  record info:
    record creation date: 140412
    record change date: 20151204182105.0
    record identifier: 978-1-4471-6410-4