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Failure Model Prediction Using Machine Learning Techniques

Using multivariate time series data, its describes a visual representation of a failure model that may be used to predict when and where machines will break down throughout an industrial production process. A method for cleaning and pre-processing the data and for training and evaluating a predicti...

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Main Author: BZaki, Imanul ‘Aqilah
Format: Final Year Project
Language:English
Published: 2022
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24538/1/Failure%20Model%20Prediction%20Using%20Machine%20Learning%20Techniques.pdf
http://utpedia.utp.edu.my/id/eprint/24538/
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spelling oai:utpedia.utp.edu.my:245382023-05-18T08:21:08Z http://utpedia.utp.edu.my/id/eprint/24538/ Failure Model Prediction Using Machine Learning Techniques BZaki, Imanul ‘Aqilah T Technology (General) Using multivariate time series data, its describes a visual representation of a failure model that may be used to predict when and where machines will break down throughout an industrial production process. A method for cleaning and pre-processing the data and for training and evaluating a prediction model will be shown. The modular and scalable design of the prediction dashboard model ensures that it can adapt to shifting requirements when manufacturing methods and data sets are updated. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24538/1/Failure%20Model%20Prediction%20Using%20Machine%20Learning%20Techniques.pdf BZaki, Imanul ‘Aqilah (2022) Failure Model Prediction Using Machine Learning Techniques. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
BZaki, Imanul ‘Aqilah
Failure Model Prediction Using Machine Learning Techniques
description Using multivariate time series data, its describes a visual representation of a failure model that may be used to predict when and where machines will break down throughout an industrial production process. A method for cleaning and pre-processing the data and for training and evaluating a prediction model will be shown. The modular and scalable design of the prediction dashboard model ensures that it can adapt to shifting requirements when manufacturing methods and data sets are updated.
format Final Year Project
author BZaki, Imanul ‘Aqilah
author_facet BZaki, Imanul ‘Aqilah
author_sort BZaki, Imanul ‘Aqilah
title Failure Model Prediction Using Machine Learning Techniques
title_short Failure Model Prediction Using Machine Learning Techniques
title_full Failure Model Prediction Using Machine Learning Techniques
title_fullStr Failure Model Prediction Using Machine Learning Techniques
title_full_unstemmed Failure Model Prediction Using Machine Learning Techniques
title_sort failure model prediction using machine learning techniques
publishDate 2022
url http://utpedia.utp.edu.my/id/eprint/24538/1/Failure%20Model%20Prediction%20Using%20Machine%20Learning%20Techniques.pdf
http://utpedia.utp.edu.my/id/eprint/24538/
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score 13.211869

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