All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Artificial Intelligence for Digitising Industry: Chapter 1.4: Foundations of Real Time Predictive Maintenance with Root Cause Analysis Chapter 1.5: Real-Time Predictive Maintenance – Model-Based, Simulation-Based and Machine Learning Based Diagnosis Chapter 1.6: Real-Time Predictive Maintenance – Artificial Neural Network Based Diagnosis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F21%3APU142200" target="_blank" >RIV/00216305:26620/21:PU142200 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.riverpublishers.com/pdf/ebook/RPE9788770226639.pdf" target="_blank" >https://www.riverpublishers.com/pdf/ebook/RPE9788770226639.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13052/rp-9788770226639" target="_blank" >10.13052/rp-9788770226639</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Artificial Intelligence for Digitising Industry: Chapter 1.4: Foundations of Real Time Predictive Maintenance with Root Cause Analysis Chapter 1.5: Real-Time Predictive Maintenance – Model-Based, Simulation-Based and Machine Learning Based Diagnosis Chapter 1.6: Real-Time Predictive Maintenance – Artificial Neural Network Based Diagnosis

  • Original language description

    This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI (ECSEL JU) project, including an overview of industrial use cases, research, technological innovation, validation, and deployment.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/8A19001" target="_blank" >8A19001: Artificial Intelligence for Digitizing Industry</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Artificial Intelligence for Digitising Industry

  • ISBN

    978-87-7022-664-6

  • Number of pages of the result

    55

  • Pages from-to

    47-101

  • Number of pages of the book

    436

  • Publisher name

    River Publishers

  • Place of publication

    Alsbjergvej 10 9260 Gistrup Denmark

  • UT code for WoS chapter