Health Monitoring of Power Driving System Using Sound Signal based on Deep Learning-Reference-Cited by-同舟云学术

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Health Monitoring of Power Driving System Using Sound Signal based on Deep Learning

Published:2021-02-20 Issue:1 Volume:31 Page:47-56
ISSN:1598-2785
Container-title:Transactions of the Korean Society for Noise and Vibration Engineering
language:en
Short-container-title:KSNVE

Author:

Kim Seon-Won,An Kanghyeon,Back Jiseon,Lee Sang-Kwon,Lee Changho,Kim Pungil

Funder

Ministry of Science and ICT

National Research Foundation of Korea

Small and Medium Business Administration

KOREA CONVEYOR IND. CO.

Publisher

The Korean Society for Noise and Vibration Engineering

Cited by 7 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. Classification of Road Types using Convolution Neural Network and Continuous Wavelet Transform of Sound Signal;Transactions of the Korean Society for Noise and Vibration Engineering;2023-04-20

2. Deep Learning Modeling for Centrifugal Pump Multi-Fault Type Classification and Analysis;Transactions of the Korean Society of Mechanical Engineers - A;2023-03-31

3. Active Noise Control of Airborne Road Noise Based on Artificial Intelligent Computed Road Classification and Adaptive Digital Filter;Communications in Computer and Information Science;2023

4. Classification of Road Surfaces Based on CNN Architecture and Tire Acoustical Signals;Applied Sciences;2022-09-22

5. Artificial Intelligence Network with 1D-/2D-CNN and LSTM Predicting Flank Wear from Raw Vibration Signals;Transactions of the Korean Society for Noise and Vibration Engineering;2022-08-20

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