Publication result detail

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

WOTAWA, F.; KAUFMANN, D.; AMUKHTAR, A.; NICA, I.; KLÜCK, F.; FELBINGER, H.; BLAHA, P.; KOZOVSKÝ, M.; HAVRÁNEK, Z.; DOSEDĚL, M.

Original Title

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

English Title

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

Type

Chapter in a book

Original Abstract

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.

English abstract

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.

Keywords

Artificial intelligence (AI), Industrial internet of things (IIoT), Machine learning, Deep learning, Neural Networks, Machine vision, Smart robots, AI at the edge, Silicon-born AI Industrial sectors: automotive, semiconductor, industrial machinery, food and beverage, transportation

Key words in English

Artificial intelligence (AI), Industrial internet of things (IIoT), Machine learning, Deep learning, Neural Networks, Machine vision, Smart robots, AI at the edge, Silicon-born AI Industrial sectors: automotive, semiconductor, industrial machinery, food and beverage, transportation

Authors

WOTAWA, F.; KAUFMANN, D.; AMUKHTAR, A.; NICA, I.; KLÜCK, F.; FELBINGER, H.; BLAHA, P.; KOZOVSKÝ, M.; HAVRÁNEK, Z.; DOSEDĚL, M.

RIV year

2022

Released

01.09.2021

Publisher

River Publishers

Location

Alsbjergvej 10 9260 Gistrup Denmark

ISBN

978-87-7022-664-6

Book

Artificial Intelligence for Digitising Industry

Pages from

47

Pages to

101

Pages count

55

URL

https://www.riverpublishers.com/pdf/ebook/RPE9788770226639.pdf

BibTex

@inbook{BUT173282,
  author="WOTAWA, F. and KAUFMANN, D. and AMUKHTAR, A. and NICA, I. and KLÜCK, F. and FELBINGER, H. and BLAHA, P. and KOZOVSKÝ, M. and HAVRÁNEK, Z. and DOSEDĚL, M.",
  title="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",
  booktitle="Artificial Intelligence for Digitising Industry",
  year="2021",
  publisher="River Publishers",
  address="Alsbjergvej 10
9260 Gistrup
Denmark",
  pages="47--101",
  doi="10.13052/rp-9788770226639",
  isbn="978-87-7022-664-6",
  url="https://www.riverpublishers.com/pdf/ebook/RPE9788770226639.pdf"
}