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
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
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
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
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
Popis výsledku anglicky
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.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/8A19001" target="_blank" >8A19001: Artificial Intelligence for Digitizing Industry</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Artificial Intelligence for Digitising Industry
ISBN
978-87-7022-664-6
Počet stran výsledku
55
Strana od-do
47-101
Počet stran knihy
436
Název nakladatele
River Publishers
Místo vydání
Alsbjergvej 10 9260 Gistrup Denmark
Kód UT WoS kapitoly
—