A Deep Learning Approach for Fusing Sensor Data from Screw Compressors

A Deep Learning Approach for Fusing Sensor Data from Screw Compressors

Chillers are commonly used for thermal regulation to maintain indoor comfort in medium and large buildings. However, inefficiencies in this process produce significant losses, and optimization tasks are limited because of accessibility to the system. Data analysis techniques transform measurements c...

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Bibliographic Details
Main Authors: Serafín Alonso, Daniel Pérez, Antonio Morán, Juan José Fuertes, Ignacio Díaz, Manuel Domínguez
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
sensor data fusion
deep learning
convolutional neural networks
screw compressors
capacity control system
Online Access:https://www.mdpi.com/1424-8220/19/13/2868

Internet

https://www.mdpi.com/1424-8220/19/13/2868

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