Weak monotonicity with trend analysis for unsupervised feature evaluation
Performance in an engineering system tends to degrade over time due to a variety of wearing or ageing processes. In supervisory controlled processes there are typically many signals being monitored that may help to characterize performance degradation. It is preferred to select the least amount of i...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IEEE
2022
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