A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques

A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques

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...

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Bibliographic Details
Main Authors: Héctor Aláiz-Moretón, Manuel Castejón-Limas, José-Luis Casteleiro-Roca, Esteban Jove, Laura Fernández Robles, José Luis Calvo-Rolle
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
fault detection
geothermal heat exchanger
random decision forests
gradient boosting
extremely randomized trees
adaptive boosting
k-nearest neighbors
shallow neural networks
Online Access:https://www.mdpi.com/1424-8220/19/12/2740

Internet

https://www.mdpi.com/1424-8220/19/12/2740

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