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 analytics and artificial intelligence for predictive maintenance in smart manufacturing
  name:
    name part: Tyagi, Amit Kumar
    name part: 1988-
    role:
      role term: editor.
  name:
    name part: Tiwari, Shrikant
    role:
      role term: editor.
  name:
    name part: Soni, Gulshan
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: "Today in this smart era, Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book will contain up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Serving as a reference guide this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields"--
  table of contents: Introduction to machine learning fundamentals / Ritesh Kumar Dewangan, Vinita Dewangan, Pallavi P. Khobragade -- AI applications in production / C.M. Nalayini, V. Sathya, K. Jayashree, Shruthi Arunkumar and M. Dinesh Babu -- Data Analytics and Artificial Intelligence for predictive maintenance in manufacturing / Dr. M. Sivakumar, Dr. M. Maranco, Dr. N. Krishnaraj.
  note: edited by Amit Kumar Tyagi, Shrikant Tiwari and Gulshan Soni.
  note: Includes bibliographical references and index.
  note: Amit Kumar Tyagi, PhD, is an Assistant Professor at the National Institute of Fashion Technology, New Delhi, India. Previously he was an Assistant Professor (Senior Grade 2) and Senior Researcher at Vellore Institute of Technology (VIT), Chennai, Tamilandu, India, from 2019 to 2022. He earned a PhD in 2018 at Pondicherry Central University, Puducherry, India. Dr. Tyagi joined the Lord Krishna College of Engineering, Ghaziabad (LKCE), from 2009 to 2010 and from 2012 to 2013. He was an Assistant Professor and Head of Research, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad, Haryana, India, from 2018 to 2019. His supervision experience includes more than ten master's dissertations and one PhD thesis. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to privacy breaches in vehicular applications (such as parking) and medical cyber physical systems (MCPS). He has published over 200 papers in refereed high-impact journals, conferences, and books, and some of his articles were awarded best paper awards. Dr. Tyagi has filed more than 25 patents (nationally and internationally) in the areas of deep learning, internet of things, cyber physical systems, and computer vision. He has edited more than 25 books for IET, Elsevier, Springer, CRC Press, etc. Also, Dr. Tyagi has authored four books on intelligent transportation systems, vehicular ad-hoc network, machine learning, and internet of things, with IET UK, Springer Germany, and BPB India. He is a winner of faculty research awards for 2020, 2021, and 2022 (three consecutive years) given by the Vellore Institute of Technology, Chennai, India. Recently, he was awarded the best paper award for a paper titled "A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient", in ICCSA 2020, Italy (Europe). His research focuses on next-generation machine-based communications, blockchain technology, smart and secure computi…
  subject:
    topic: Manufacturing processes
    topic: Data processing
  subject:
    topic: Manufacturing industries
    topic: Equipment and supplies
    topic: Maintenance and repair
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Quantitative research
  subject:
    topic: Big data
  subject:
    topic: Fabrication
    topic: Informatique
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  subject:
    topic: Recherche quantitative
  classification: TS183
  classification: 670.285
  related item:
    title info:
      title: Advances in intelligent decision-making, systems engineering, and project management
  related item:
    title info:
      title: Data analytics and artificial intelligence for predictive maintenance in smart manufacturing
    origin info:
      publisher: Boca Raton, FL : CRC Press, 2025
      edition: First edition.
    identifier: (DLC) 2024020481
  identifier: 9781003480860
  identifier: 1003480861
  identifier: 9781040151396
  identifier: 1040151396
  identifier: 9781040151440
  identifier: 1040151442
  identifier: 9781032769523
  identifier: 9781032770161
  identifier: 2024020482
  identifier: 9781003480860 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 240815
    record change date: 20241114195957.0
    record identifier: in00005529513
    language of cataloging:
      language term: eng