Predictive maintenance for a wood chipper using supervised machine learning
With a predictive model that can predict failures of a manufacturing machine, many benefits can be obtained. Unnecessary downtime and accidents can be avoided. In this study a wood chipper which has 12 replaceable knives was examined. The specific task was to create a predictive model that can predi...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Institutionen för datavetenskap
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149304 |