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: Intelligent Fault Diagnosis and Prognosis for Industrial Systems
    sub title: Cross-Domain, Zero-sample, and Degradation Modeling Methods
  name:
    name part: Yin, Hongpeng.
    role:
      role term: creator
  name:
    name part: Cai, Li.
  name:
    name part: Zhang, Peng.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: Chantilly
    publisher: Elsevier
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (224 p.)
  abstract: Industrial Fault Diagnosis and Remaining Useful Life Prediction: Cross-Domain, Zero-Sample, and Degradation Modeling Methods introduces zero-sample learning methods that enable fault diagnosis and Predict Remaining Useful Life (RUL) without the need for labelled fault data.
  note: Description based upon print version of record.
  subject:
    topic: Fault location (Engineering)
  subject:
    topic: Détection de défaut (Ingénierie)
  classification: TA169.6
  classification: 620/.00452
  related item:
    title info:
      title: Intelligent Fault Diagnosis and Prognosis for Industrial Systems
    name:
      name part: Yin, Hongpeng
    origin info:
      publisher: Chantilly : Elsevier,c2026
  identifier: 9780443442926
  identifier: 0443442924
  identifier: 9780443442919
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 260207
    record change date: 20260327191606.1
    record identifier: in00005776848
    language of cataloging:
      language term: eng