Unsupervised Minimum Redundancy Maximum Relevance Feature Selection for Predictive Maintenance: Application to a Rotating Machine
Identifying and selecting optimal prognostic health indicators in the context of predictive maintenance is essential to obtain a good model and make accurate predictions. Several metrics have been proposed in the past decade to quantify the relevance of those prognostic parameters. Other works have...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2021-07-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | http://papers.phmsociety.org/index.php/ijphm/article/view/2955 |