Feature Analysis Based on Acoustic Emission Signal Processing for Tubular Steel Tower Condition Monitoring-Reference-Cited by-同舟云学术

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Feature Analysis Based on Acoustic Emission Signal Processing for Tubular Steel Tower Condition Monitoring

Published:2021-04-20 Issue:2 Volume:31 Page:195-202
ISSN:1598-2785
Container-title:Transactions of the Korean Society for Noise and Vibration Engineering
language:en
Short-container-title:KSNVE

Author:

Yu Hyeon-Tak,Min Tae-Hong,Kim Hyeong-Jin,Kang Seoggeun,Kang Dong-Young,Kim Hyun-Sik,Choi Byeong-Keun

Funder

Ministry of Trade, Industry and Energy

Korea Energy Technology Evaluation and Planning

Publisher

The Korean Society for Noise and Vibration Engineering

Cited by 3 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. A Study on the Methodology for Standardization of Training Data in Machine Learning with Different Operating Conditions;Journal of Power System Engineering;2023-12-31

2. Burst Signal Extract and Features Analysis for using Acoustic Emission in Machine Learning;Journal of Power System Engineering;2023-02-28

3. Feature Analysis of Acoustic Emission Signals for Diagnosis of Loosened Bolt in Tubular Steel Tower;Transactions of the Korean Society for Noise and Vibration Engineering;2022-04-20

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