Sensor and Actuator Fault Diagnosis Based on Soft Computing Techniques

Sensor and Actuator Fault Diagnosis Based on Soft Computing Techniques

Computational intelligence techniques are being investigated as an extension of the traditional fault diagnosis methods. This article presents, for the first time, a scheme for fault detection and isolation (FDI) via artificial neural networks and fuzzy logic. It deals with the sensor fault of a thr...

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Bibliographic Details
Main Authors: Khireddine Mohamed Salah, Chafaa Kheireddine, Slimane Noureddine, Boutarfa Abdelhalim
Format: Article
Language:English
Published: De Gruyter 2015-03-01
Series:Journal of Intelligent Systems
Subjects:
artificial neural network
fault detection and isolation
fuzzy logic
sliding mode observer
robotic manipulators
Online Access:https://doi.org/10.1515/jisys-2014-0037

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