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Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic

The use of prognostics is critically to be implemented in industrial. This paper .presents an application of multi-step time series prediction to support industrial equipment prognostic. An artificial neural network technique with sliding window is considered for the multi-step prediction which is a...

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Main Authors: Asmai, Siti Azirah, Abdullah, Rosmiza Wahida, Che Soh, Mohd Norhisham, Hasan Basari, Abd Samad, Hussin, Burairah
Format: Conference or Workshop Item
Language:English
Published: 2011
Online Access:http://eprints.utem.edu.my/id/eprint/20107/1/APPLICATION%20OF%20MULTI-STEP%20TIME%20SERIES%20PREDICTION%20FOR%20INDUSTRIAL%20EQUIPMENT%20PROGNOSTIC-SITI%20AZIRAH%20ASMAI-MAK%2000346%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20107/
https://core.ac.uk/download/pdf/235629015.pdf
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spelling my.utem.eprints.201072021-07-11T16:33:45Z http://eprints.utem.edu.my/id/eprint/20107/ Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic Asmai, Siti Azirah Abdullah, Rosmiza Wahida Che Soh, Mohd Norhisham Hasan Basari, Abd Samad Hussin, Burairah The use of prognostics is critically to be implemented in industrial. This paper .presents an application of multi-step time series prediction to support industrial equipment prognostic. An artificial neural network technique with sliding window is considered for the multi-step prediction which is able to predict the series of future equipment condition. The structure of prognostic application is presented. The feasibility of this prediction application was demonstrated by applying real condition monitoring data of industrial equipment. 2011 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20107/1/APPLICATION%20OF%20MULTI-STEP%20TIME%20SERIES%20PREDICTION%20FOR%20INDUSTRIAL%20EQUIPMENT%20PROGNOSTIC-SITI%20AZIRAH%20ASMAI-MAK%2000346%20RAF.pdf Asmai, Siti Azirah and Abdullah, Rosmiza Wahida and Che Soh, Mohd Norhisham and Hasan Basari, Abd Samad and Hussin, Burairah (2011) Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic. In: IEEE Conference On Open System (ICOS2011), 25-28 September 2011, Langkawi, Kedah. https://core.ac.uk/download/pdf/235629015.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The use of prognostics is critically to be implemented in industrial. This paper .presents an application of multi-step time series prediction to support industrial equipment prognostic. An artificial neural network technique with sliding window is considered for the multi-step prediction which is able to predict the series of future equipment condition. The structure of prognostic application is presented. The feasibility of this prediction application was demonstrated by applying real condition monitoring data of industrial equipment.
format Conference or Workshop Item
author Asmai, Siti Azirah
Abdullah, Rosmiza Wahida
Che Soh, Mohd Norhisham
Hasan Basari, Abd Samad
Hussin, Burairah
spellingShingle Asmai, Siti Azirah
Abdullah, Rosmiza Wahida
Che Soh, Mohd Norhisham
Hasan Basari, Abd Samad
Hussin, Burairah
Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic
author_facet Asmai, Siti Azirah
Abdullah, Rosmiza Wahida
Che Soh, Mohd Norhisham
Hasan Basari, Abd Samad
Hussin, Burairah
author_sort Asmai, Siti Azirah
title Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic
title_short Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic
title_full Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic
title_fullStr Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic
title_full_unstemmed Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic
title_sort application of multi- step time series prediction for industrial equipment prognostic
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/20107/1/APPLICATION%20OF%20MULTI-STEP%20TIME%20SERIES%20PREDICTION%20FOR%20INDUSTRIAL%20EQUIPMENT%20PROGNOSTIC-SITI%20AZIRAH%20ASMAI-MAK%2000346%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20107/
https://core.ac.uk/download/pdf/235629015.pdf
_version_ 1706960949760491520
score 13.214268

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