Application of multi-step time series prediction for industrial equipment prognostic

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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...

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Bibliographic Details
Main Authors:	Asmai, Siti Azirah, Abdullah, Rosmiza Wahida, Hasan Basari, Abd Samad, Hussin, Burairah
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	Q Science (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/201/ http://eprints.utem.edu.my/id/eprint/201/1/Prognosis-_ICOSIEEELangkawi.pdf

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