Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing
Description
There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.
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DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing |
https://doi.org/10.18434/T4/1502464 |
Tags
- maintenance
- manufacturing-operations
- communication
- investigations
- event-sequences
- tribal-knowledge
- smart-manufacturing
- scheduling
- prognostics
- visualization
- decision-guidance
- cmms
- diagnostics
- information
- nestor
- manufacturing-performance
- data-cleaning
- training
- machine-learning