Degradation Vector Fields with Uncertainty Considerations

The focus of this work is on capturing uncertainty in remaining useful life (RUL) estimates for machinery and constructing some latent dynamics that aid in interpreting those results. This is primarily achieved through sequential deep generative models known as Dynamical Variational Autoencoders (DV...

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Main Author: Star, Marco
Format: Thesis
Published: Curtin University 2023
Online Access:http://hdl.handle.net/20.500.11937/93343
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author Star, Marco
author_facet Star, Marco
author_sort Star, Marco
building Curtin Institutional Repository
collection Online Access
description The focus of this work is on capturing uncertainty in remaining useful life (RUL) estimates for machinery and constructing some latent dynamics that aid in interpreting those results. This is primarily achieved through sequential deep generative models known as Dynamical Variational Autoencoders (DVAEs). These allow for the construction of latent dynamics related to the RUL estimates while being a probabilistic model that can quantify the uncertainties of the estimates.
first_indexed 2025-11-14T11:39:49Z
format Thesis
id curtin-20.500.11937-93343
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:39:49Z
publishDate 2023
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-933432023-09-19T06:32:51Z Degradation Vector Fields with Uncertainty Considerations Star, Marco The focus of this work is on capturing uncertainty in remaining useful life (RUL) estimates for machinery and constructing some latent dynamics that aid in interpreting those results. This is primarily achieved through sequential deep generative models known as Dynamical Variational Autoencoders (DVAEs). These allow for the construction of latent dynamics related to the RUL estimates while being a probabilistic model that can quantify the uncertainties of the estimates. 2023 Thesis http://hdl.handle.net/20.500.11937/93343 Curtin University fulltext
spellingShingle Star, Marco
Degradation Vector Fields with Uncertainty Considerations
title Degradation Vector Fields with Uncertainty Considerations
title_full Degradation Vector Fields with Uncertainty Considerations
title_fullStr Degradation Vector Fields with Uncertainty Considerations
title_full_unstemmed Degradation Vector Fields with Uncertainty Considerations
title_short Degradation Vector Fields with Uncertainty Considerations
title_sort degradation vector fields with uncertainty considerations
url http://hdl.handle.net/20.500.11937/93343