Fault Detection in Mobile Robotics using Autoencoder and Mahalanobis Distance
Intelligent fault detection systems using machine learning can be applied to learn to spot anomalies in signals sampled directly from machinery. As a result, expensive repair costs due to mechanical breakdowns and potential harm to humans due to malfunctioning equipment can be prevented. In recent y...
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| Format: | Others |
| Language: | English |
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Mälardalens högskola, Akademin för innovation, design och teknik
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54692 |