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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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , , , |
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| வடிவமà¯: | Conference or Workshop Item |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2011
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.utem.edu.my/201/ http://eprints.utem.edu.my/201/1/Prognosis-_ICOSIEEELangkawi.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
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