Exploring unsupervised anomaly detection in Bill of Materials structures.
Siemens produce a variety of different products that provide innovative solutions within different areas such as electrification, automation and digitalization, some of which are turbine machines. During the process of creating or modifying a machine, it is vital that the documentation used as refer...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Institutionen för datavetenskap
2019
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160262 |