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...

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Detalles Bibliográficos
Autores principales: Gao, Yunguang, Ma, Changlin, Wang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
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

Internet

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

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