Enabling Actionable Maintenance Analytics with Ontology-driven Natural Language Processing
Asset maintenance is a crucial aspect of biomanufacturing operations, with significant associated costs. To mitigate these expenses, companies are increasingly adopting predictive maintenance approaches that leverage data to identify potential equipment issues before they arise. Maintenance work ord...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2023
|
| Online Access: | https://hdl.handle.net/1721.1/151708 https://orcid.org/0009-0009-1455-7153 |