A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance
Domains such as utilities, power generation, manufacturing and transport are increasingly turning to data-driven tools for management and maintenance of key assets. Whole ecosystems of sensors and analytical tools can provide complex, predictive views of network asset performance. Much research in t...
| Main Authors: | , , |
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| Format: | Article |
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Springer
2017
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/43061/ |