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

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