An Efficient Approach for Graph-Based Fault Diagnosis in UAVs

In this work, we tackle the problem of systematic population of a bank of residual generators for model-based fault diagnosis in Unmanned Aerial Vehicles (UAVs). Intended for detailed, large and non-linear system models, Structural Analysis (SA) is applied to produce a graph-based abstraction of the...

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Bibliographic Details
Published in:	Journal of intelligent & robotic systems Vol. 97; no. 3-4; pp. 553 - 576
Main Authors:	Zogopoulos-Papaliakos, Georgios, Kyriakopoulos, Kostas J.
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.03.2020 Springer Springer Nature B.V
Subjects:	Algorithms Analysis Artificial Intelligence Banks (Finance) Causality Computer simulation Constraints Control Diagnostic systems Drone aircraft Electrical Engineering Engineering Fault diagnosis Generators Graph matching Graph theory Integer programming Linear programming Mechanical Engineering Mechatronics Nonlinear analysis Nonlinear systems Robotics Sensors Structural analysis Unmanned aerial vehicles Fault diagnosis Integer linear programming Unmanned aerial vehicle Causality assignment Structural analysis Realizability
ISSN:	0921-0296, 1573-0409
Online Access:	Get full text
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