APPLICATION OF SELF-ORGANIZING MAP ON FLIGHT DATA ANALYSIS FOR QUADCOPTER HEALTH DIAGNOSIS SYSTEM
The UAS fault problem has led to many potential risk factors behind its rapid development in recent years. Therefore, the diagnosis of UAS health status is still an important issue. This study adopted the SOM machine learning method which is an unsupervised clustering method to establish a model for...
Main Authors: | D.-L. Cheng, W.-H. Lai |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/241/2019/isprs-archives-XLII-2-W13-241-2019.pdf |
Similar Items
-
Application of Self-Organizing Map on Flight Data Analysis for Quadcopter Health Diagnosis System
by: De-LiCheng, et al.
Published: (2019) -
Application of a flight chip in an underwater quadcopter
by: Onn, Oscar
Published: (2021) -
Extension of Quadcopter Flight Range Based on Quadcopter Transport System and Autonomous Ramp Flight Algorithm
by: Cheonghwa Lee, et al.
Published: (2020-01-01) -
Speech Assisted Interface for Quadcopter Flight Control
by: Palivela, Yaswanth
Published: (2018) -
Flight thrust performance of quadcopter / W. Kuntjoro...[et al.]
by: W., Kuntjoro, et al.
Published: (2018)