A data-driven prognostic model using time series prediction techniques in maintenance decision making
In recent years, current maintenance strategies have extensively evolved in condition-based maintenance solution in order to achieve a near-zero downtime of equipment function. One of these support elements is the use of prognostic. Prognostic has progressed as a specific function over for the last...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/14793/1/A%20Data-Driven%20Prognostic%20Model%20Using%20Time%20Series%20Prediction%20Techniques%20In%20Maintenance%20Decision%20Making%2024Pages.pdf http://eprints.utem.edu.my/id/eprint/14793/2/A%20data-driven%20prognostic%20model%20using%20time%20series%20prediction%20techniques%20in%20maintenance%20decision%20making.pdf |
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http://eprints.utem.edu.my/id/eprint/14793/1/A%20Data-Driven%20Prognostic%20Model%20Using%20Time%20Series%20Prediction%20Techniques%20In%20Maintenance%20Decision%20Making%2024Pages.pdfhttp://eprints.utem.edu.my/id/eprint/14793/2/A%20data-driven%20prognostic%20model%20using%20time%20series%20prediction%20techniques%20in%20maintenance%20decision%20making.pdf