Resilient fault detection for industrial process using adaptive Fisher discriminant analysis with wavelet denoising
In this paper, fault detection in industrial process using adaptive fisher discriminant analysis (AFDA) with optimization of wavelet denoising (WD) parameters is discussed. Particle swarm optimization (PSO) is used to set the wavelet denoising parameters. Among several important factors in effective...
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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/S2590123025027379 |
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