Machine learning methods for multi-rotor UAV structural damage detection based on MEMS sensor
Multi-rotor Unmanned Aerial Vehicles (UAVs) have become increasingly important in industries and early detection of structural damage is crucial to prevent unexpected breakdowns, ensure production efficiency, and maintain operational safety. This paper proposes machine learning techniques for detect...
Saved in:
Main Authors: | Ma, Y., Mustapha, F., Ishak, M.R., Abdul Rahim, S., Mustapha, M. |
---|---|
Format: | Article |
Published: |
2023
|
Online Access: | http://scholars.utp.edu.my/id/eprint/38070/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173738857&doi=10.1177%2f1475472X231206495&partnerID=40&md5=098154477402b967b0cfd10a7fac7870 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data-driven Methods for Damage Detection and Identification of UAV: A Review
by: Ma, Y., et al.
Published: (2022) -
Data-driven Methods for Damage Detection and Identification of UAV: A Review
by: Ma, Y., et al.
Published: (2022) -
Data-driven Methods for Damage Detection and Identification of UAV: A Review
by: Ma, Y., et al.
Published: (2022) -
Data-driven methods for damage detection and identification of UAV: a review
by: Ma, Yumeng, et al.
Published: (2022) -
Multi-rotor reluctance machine
by: Misron, Norhisam, et al.
Published: (2013)