An Intelligent Construction Method for Vibration Signal Dataset Based on Optimized YOLOv5 Algorithm-Reference-Cited by-同舟云学术

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An Intelligent Construction Method for Vibration Signal Dataset Based on Optimized YOLOv5 Algorithm

Published:2024-05-01 Issue:9 Volume:24 Page:14694-14701
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ding Xiaolin¹,Li Diquan¹^ORCID,Hu Yanfang¹^ORCID,Zhu Yunqi¹^ORCID,Li Fu¹^ORCID,Xie Xuesong¹

Affiliation:

1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the Key Laboratory of Non-Ferrous Resources and Geological Hazard Detection, School of Geosciences and Infor-Physics, Central South University, Changsha, China

Funder

Natural Science Foundation of Hunan Province

Research Foundation of Education Bureau of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10516472/10474221.pdf?arnumber=10474221

Reference36 articles.

1. A Dual-Stage-Recognition Network for Distributed Optical Fiber Sensing Perimeter Security System

2. An Interferometric Optical Fiber Perimeter Security System Based on Multi-Domain Feature Fusion and SVM

3. Distributed Optical Fiber Intrusion Detection by Image Encoding and SwinT in Multi-Interference Environment of Long-Distance Pipeline

4. Identification of Intrusion Events Based on Distributed Optical Fiber Sensing in Complex Environment

5. Intelligent Sensing Analysis Using Mel-Time-Frequency-Imaging and Deep Learning for Distributed Fiber-Optic Vibration Detection

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