Applications of AI for Predictive Maitenance

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F23%3A10252584" target="_blank" >RIV/61989100:27740/23:10252584 - isvavai.cz</a>

Výsledek na webu

<a href="https://events.it4i.cz/event/158/" target="_blank" >https://events.it4i.cz/event/158/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Applications of AI for Predictive Maitenance

Popis výsledku v původním jazyce

Using machine or deep learning to predict specific imminent events can be useful for many applications, like predicting the failure of a hard disk or unexpected downtime of a compute node. Such events can be considered anomalies that occur unexpectedly and rarely. Hence, it is a challenge to train machine and deep learning models for these due to lack of appropriate training data.This course covered three different methods, using XGBoost, Long Short-Term Memory (LSTM), and Autoencoders. For each, detailed hands-on exercises were provided to learn how to use these methods and how to select and pre-process training data for them.

Název v anglickém jazyce

Applications of AI for Predictive Maitenance

Popis výsledku anglicky

Using machine or deep learning to predict specific imminent events can be useful for many applications, like predicting the failure of a hard disk or unexpected downtime of a compute node. Such events can be considered anomalies that occur unexpectedly and rarely. Hence, it is a challenge to train machine and deep learning models for these due to lack of appropriate training data.This course covered three different methods, using XGBoost, Long Short-Term Memory (LSTM), and Autoencoders. For each, detailed hands-on exercises were provided to learn how to use these methods and how to select and pre-process training data for them.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

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

Projekt

<a href="/cs/project/MC2301" target="_blank" >MC2301: National Competence Centres in the framework of EuroHPC Phase 2 - EUROCC 2</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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