Real-World On-Board Uav Audio Data Set For Propeller Anomalies

Author:

Katta Sai Srinadhu1,Vuojarvi Kide1,Nandyala Sivaprasad1,Kovalainen Ulla-Maria1,Baddeley Lauren1

Affiliation:

1. Secure Systems Research Centre (SSRC) - Technology Innovation Institute (TII),Abu Dhabi,UAE

Publisher

IEEE

Reference23 articles.

1. Fault diagnosis for uav blades using artificial neural network;ciaburro;Robotics,2019

2. Drone detection by acoustic signature identification;pallotti;Electronic Imaging,2017

3. Attentionis all you need;vaswani;Advances in neural information processing systems,2017

4. Deep residual learning for image recognition;kaiming;IEEE Conference on Computer Vision and Pattern Recognition,2016

5. Audio-based drone detection and identification using deep learning techniques with dataset enhancement through generative adversarial networks;abdulla;SENSORS,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Acoustic-based diagnostics for UAV propeller damage using HNR and Gaussian Naive Bayes;Aircraft Engineering and Aerospace Technology;2024-07-29

2. Multimedia datasets for anomaly detection: a review;Multimedia Tools and Applications;2023-12-13

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