Time series anomaly detection
Anomaly detection on time series data can be applied to many domains. It can be applied to machinery prognostics and health management (PHM) which is crucial to ensure a system’s reliability, increase operational safety and reduce maintenance cost. In this paper, anomaly detection is done on a...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175134 |