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Fault diagnosis for cooling dehumidifier based on fuzzy classifier optimized by adaptive genetic algorithm
The running of cooling dehumidifier is characterized by strong coupling, large delay and nonlinearity, so it is not easy to establish a precise quantitative model for fault diagnosis. Aiming at this problem, a fuzzy classifier optimized by adaptive genetic algorithm (AGA) is proposed for the dehumid...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747600/ https://www.ncbi.nlm.nih.gov/pubmed/36531620 http://dx.doi.org/10.1016/j.heliyon.2022.e12057 |