Asmai, Siti Azirah and Abdullah, Rosmiza Wahida and Hasan Basari, Abd Samad and Hussin, Burairah (2011) Application of multi-step time series prediction for industrial equipment prognostic. In: 2011 IEEE Conference on Open Systems, 25-28 Sept 2011, Langkawi, Malaysia.
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Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Information and Communication Technology > Department of Industrial Computing |
| Depositing User: | Dr. Abd. Samad Hasan Basari |
| Date Deposited: | 06 Dec 2011 08:44 |
| Last Modified: | 06 Jun 2023 11:14 |
| URI: | http://eprints.utem.edu.my/id/eprint/201 |
| Statistic Details: | View Download Statistic |
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