Fault detection of industrial process based on ensemble kernel entropy component analysis algorithm
To solve the problem caused by kernel entropy component analysis (KECA) for selecting the same kernel parameters for different faults,a fault detection of industrial process based on ensemble kernel entropy component analysis (EKECA) was proposed.Firstly,a series of kernel functions with different w...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | ZH |
| Publié: |
Hebei University of Science and Technology
2021
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| Accès en ligne: | https://doaj.org/article/5d81e46cb4ae45be968e1cc56ba0008d |
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