High-dimensional control charts with application to surveillance of grease damage in bearings of wind turbines
High-dimensional data, characterized by having more attributes or variables than observations, presents unique challenges in industrial operations surveillance. Traditional multivariate control charts, like Hotelling’s [Formula: see text] chart, perform adequately with lower-dimensional data. Howeve...
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| Main Authors: | Tahir Mahmood, Fuhad Ahmed, Muhammad Riaz, Nasir Abbas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Production and Manufacturing Research: An Open Access Journal |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21693277.2024.2377739 |
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