Cargando…
An Online Data-Driven Fault Diagnosis Method for Air Handling Units by Rule and Convolutional Neural Networks
The stable operation of air handling units (AHU) is critical to ensure high efficiency and to extend the lifetime of the heating, ventilation, and air conditioning (HVAC) systems of buildings. In this paper, an online data-driven diagnosis method for AHU in an HVAC system is proposed and elaborated....
Autores principales: | Liao, Huanyue, Cai, Wenjian, Cheng, Fanyong, Dubey, Swapnil, Rajesh, Pudupadi Balachander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272190/ https://www.ncbi.nlm.nih.gov/pubmed/34202336 http://dx.doi.org/10.3390/s21134358 |
Ejemplares similares
-
Uncertainty handling in convolutional neural networks
por: Rashno, Elyas, et al.
Publicado: (2022) -
Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform
por: Li, Guoqiang, et al.
Publicado: (2019) -
Convolutional neural network with Huffman pooling for handling data with insufficient categories: A novel method for anomaly detection and fault diagnosis
por: Li, Yuqing, et al.
Publicado: (2022) -
Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis
por: Zhou, Shuiqin, et al.
Publicado: (2022) -
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation
por: Burkhardt, Sophie, et al.
Publicado: (2021)