Cover Image

Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer

A Remaining Useful Life prediction with Aleatoric uncertainty is presented in this paper.A Long Short-Term Memory (LSTM) architecture with probabilistic layer is employed where a normal distribution layer is incorporated to produce the predicted Health Index (HI) distribution of turbofan engines.Com...

Full description

Saved in:
Bibliographic Details
Main Authors: Bin Mohd Nor, A.K., Pedapati, S.R., Muhammad, M., Abdul Majid, M.A.
Format: Article
Published: 2023
Online Access:http://scholars.utp.edu.my/id/eprint/34233/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140712927&doi=10.1007%2f978-981-19-1939-8_41&partnerID=40&md5=0e65bc95401b898dd0ecdc244a7d409f
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scholars.utp.edu.my:34233
record_format eprints
spelling oai:scholars.utp.edu.my:342332023-01-04T02:54:19Z http://scholars.utp.edu.my/id/eprint/34233/ Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer Bin Mohd Nor, A.K. Pedapati, S.R. Muhammad, M. Abdul Majid, M.A. A Remaining Useful Life prediction with Aleatoric uncertainty is presented in this paper.A Long Short-Term Memory (LSTM) architecture with probabilistic layer is employed where a normal distribution layer is incorporated to produce the predicted Health Index (HI) distribution of turbofan engines.Compared to the performance of other point estimates techniques in the literature, the probabilistic LSTM achieved a competitive performance in predicting the turbofanâ��s RUL and RUL sequence and have the advantage to express the level of uncertainty along its sequence prediction.This work is important as it reflect a real-world deep learning application where uncertainty indication is needed to evaluate prediction for important decision-making process. © 2023, Institute of Technology PETRONAS Sdn Bhd. 2023 Article NonPeerReviewed Bin Mohd Nor, A.K. and Pedapati, S.R. and Muhammad, M. and Abdul Majid, M.A. (2023) Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer. Lecture Notes in Mechanical Engineering. pp. 529-544. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140712927&doi=10.1007%2f978-981-19-1939-8_41&partnerID=40&md5=0e65bc95401b898dd0ecdc244a7d409f 10.1007/978-981-19-1939-8₄₁ 10.1007/978-981-19-1939-8₄₁
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description A Remaining Useful Life prediction with Aleatoric uncertainty is presented in this paper.A Long Short-Term Memory (LSTM) architecture with probabilistic layer is employed where a normal distribution layer is incorporated to produce the predicted Health Index (HI) distribution of turbofan engines.Compared to the performance of other point estimates techniques in the literature, the probabilistic LSTM achieved a competitive performance in predicting the turbofan�s RUL and RUL sequence and have the advantage to express the level of uncertainty along its sequence prediction.This work is important as it reflect a real-world deep learning application where uncertainty indication is needed to evaluate prediction for important decision-making process. © 2023, Institute of Technology PETRONAS Sdn Bhd.
format Article
author Bin Mohd Nor, A.K.
Pedapati, S.R.
Muhammad, M.
Abdul Majid, M.A.
spellingShingle Bin Mohd Nor, A.K.
Pedapati, S.R.
Muhammad, M.
Abdul Majid, M.A.
Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
author_facet Bin Mohd Nor, A.K.
Pedapati, S.R.
Muhammad, M.
Abdul Majid, M.A.
author_sort Bin Mohd Nor, A.K.
title Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
title_short Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
title_full Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
title_fullStr Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
title_full_unstemmed Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
title_sort demonstrating aleatoric uncertainty in remaining useful life prediction using lstm with probabilistic layer
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/34233/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140712927&doi=10.1007%2f978-981-19-1939-8_41&partnerID=40&md5=0e65bc95401b898dd0ecdc244a7d409f
_version_ 1754532145492131840
score 13.214268

Similar Items