Fusion Fault Diagnosis Model for Six-Rotor UAVs Based on Conformal Fourier Transform and Improved Self-Organizing Feature Map

If the fault sources can be located in a timely and accurate manner when an unmanned aerial vehicle (UAV) has an early minor fault, a major accident can be avoided. In light of the early fault of the six-rotor UAV motors, this paper proposes a fusion fault diagnosis model based on Conformal Fourier...

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Veröffentlicht in:	IEEE access Jg. 9; S. 14422 - 14436
Hauptverfasser:	Fu, Jiangmeng, Che, Gaofeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms CFT algorithm Cluster analysis Clustering Clustering algorithms Deep learning Fault diagnosis Feature extraction Feature maps Fourier transforms hierarchical clustering improved SOM network Interpolation main feature intensification Neural networks Numerical integration Rotors Self organizing maps Self-organizing feature maps Unmanned aerial vehicles
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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