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RSS FeedsSensors, Vol. 19, Pages 2740: A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques (Sensors)

 
 

19 june 2019 00:00:06

 
Sensors, Vol. 19, Pages 2740: A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques (Sensors)
 




This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy to identify a malfunctioning sensor and to establish the correct measurement value in those cases. As study case, we use the data collected from a geothermal heat exchanger installed as part of the heat pump installation in a bioclimatic house. The sensor behaviour is modeled by using six different machine learning techniques: Random decision forests, gradient boosting, extremely randomized trees, adaptive boosting, k-nearest neighbors, and shallow neural networks. The achieved results suggest that this methodology is a very satisfactory solution for this kind of systems.


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32 viewsCategory: Chemistry, Physics
 
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