Open Access
Issue
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
Article Number 01062
Number of page(s) 4
Section Chemical Performance Structure Research and Environmental Pollution Control
DOI https://doi.org/10.1051/e3sconf/202124801062
Published online 12 April 2021
  1. Wang Huai. Research on key Technologies of Digital precision curve Grinding based on online image recognition and detection [D]. Shanghai Jiao Tong University, 2008. [Google Scholar]
  2. Fan Linlin. Application of Acoustic emission technology in nondestructive testing [D]. Harbin University of Science and Technology, 2010. [Google Scholar]
  3. Tian Rui. Study on detrending analysis and Fault Feature Extraction method of bearing vibration Signal [J]. Mechanical Design and Manufacturing, 2018 (12):100–104. [Google Scholar]
  4. Guo Li, Li Bo, Guo Juntao. Acoustic Emission Monitoring of Diamond Wheel Wear based on wavelet analysis and GA-SVM [J]. Mechanical and electrical engineering, 2019, 36(12):1255–1260. [Google Scholar]
  5. Guo Li, Huo Ke, Guo Juntao. Acoustic emission monitoring of wear state of diamond grinding wheel based on EMD [J]. Journal of hunan university (natural science edition), 2019, 46(02):58–66. [Google Scholar]
  6. Yu Teng, HU Wu-sheng, WU Jie, LI Hai-feng, QIAO Yan. Extracting vibration information of Runyang Bridge based on wavelet threshold denoising and EMD decomposition [J]. Vibration and impact, 2019, 38(12):264–270. [Google Scholar]
  7. Xu Fang-hui, WANG Zhu-wen, LIU Jing-hua, OU Wei-ming. Joint EMD and wavelet threshold denoising in electrical imaging logging data [J]. Journal of China university of petroleum (natural science edition), 2020, 44(03):56–65. [Google Scholar]
  8. Kalpana Kannan, N. Arunachalam, Aakash Chawla, Sundararajan Natarajan. Multi-Sensor Data Analytics for Grinding Wheel Redress Life Estimation-An Approach towards Industry 4.0[J]. Procedia Manufacturing, 2018, 26. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.