Interval-based principal component analysis for reliable fault detection under data uncertainty
Principal Component Analysis (PCA) has gained widespread use in industrial process monitoring due to its ability to model high-dimensional data and detect abnormal events. Traditional PCA techniques, however, assume that sensor measurements are accurate and precise. In real-world applications, measu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025020687 |
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