Sensor Fault Detection and Diagnosis Method for AHU Using 1-D CNN and Clustering Analysis

This paper presents a fault detection and diagnosis (FDD) method, which uses one-dimensional convolutional neural network (1-D CNN) and WaveCluster clustering analysis to detect and diagnose sensor faults in the supply air temperature (T(sup)) control loop of the air handling unit. In this approach,...

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Detalles Bibliográficos
Autores principales: Liu, Jingjing, Zhang, Min, Wang, Hai, Zhao, Wei, Liu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791249/
https://www.ncbi.nlm.nih.gov/pubmed/31662739
http://dx.doi.org/10.1155/2019/5367217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791249/
https://www.ncbi.nlm.nih.gov/pubmed/31662739
http://dx.doi.org/10.1155/2019/5367217

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