Diagnostics and Prognostics of safety critical systems using machine learning, time and frequency domain analysis
The prime focus of this thesis was to develop a robust Prognostic and Diagnostic Health Management module (PDHM), capable of detecting faults, classifying faults, fault progression tracking and estimating time to failure. Priority was to obtain as much accuracy as possible with the bare minimum amou...
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| Format: | Others |
| Language: | English |
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Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17603 |