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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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/201/ http://eprints.utem.edu.my/201/1/Prognosis-_ICOSIEEELangkawi.pdf |
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