Diagnosis, classification and prognosis of rotating machine using artificial intelligence
The demand for cost efficient, reliable and safe rotating machinery requires accurate fault diagnosis, classification and prognosis systems. Therefore these issues have become of paramount important so that the potential failures of rotating machinery can be managed properly. Various methods have...
| Main Author: | Mahamad, Abd Kadir |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3637/ |
| Abstract | Abstract here |
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