Defects detection using machine learning in condition monitoring
This final year project aims to make use of machine learning technique in condition monitoring for defects detection on the third rail. The machine learning model taken into consideration is the Support Vector Machine. The critical features were extracted from the data collected. This report analyse...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/140159 |