Harmonic and interharmonic detection based on adaptive wavelet and improved EWT

Autor: KONG Chuirui, CHEN Fengxian, YANG Lingrui, CHE Yukui, YANG Haixian, XIA Wei, GUO Cheng

Publikováno v: Zhejiang dianli, Vol 43, Iss 11, Pp 97-105 (2024)

To address the issues of noise sensitivity and over-decomposition when decomposing harmonic signals using empirical wavelet transform （EWT）， a method based on adaptive wavelet denoising and improved EWT is proposed for detecting harmonics and i

Externí odkaz: https://doaj.org/article/94d16e5dc74a4b7f88dbee465c407f74

A New Method for the Analysis of Broadband Oscillation Mode of New Energy Stations.

Autor: Guo, Cheng¹ (AUTHOR) 20210090@kust.edu.cn, Yang, Lingrui¹ (AUTHOR) daijianbo@stu.kust.edu.cn, Dai, Jianbo¹ (AUTHOR) chenbo626@stu.kust.edu.cn, Chen, Bo¹ (AUTHOR) 20212105016@stu.kust.edu.cn, Yin, Ke² (AUTHOR) ink_monica@163.com, Dai, Jing¹ (AUTHOR)

Publikováno v: Symmetry (20738994). Mar2024, Vol. 16 Issue 3, p278. 15p.

Estimation of gas blowout volume in wells with uncontrolled blowout and laboratory studies

Autor: Tian, Jialin, Yang, Yinglin, Yang, Lingrui, Liu, Zhenglian, Yang, Lin

Publikováno v: In Natural Gas Industry B September 2017 4(5):399-404

Evolution of the "Internet Plus Health Care" Mode Enabled by Artificial Intelligence: Development and Application of an Outpatient Triage System.

Autor: Yang L; Clinical Research and Innovation Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China., Pang J; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Zuo S; Clinical Research and Innovation Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China., Xu J; Clinical Research and Innovation Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China., Jin W; Clinical Research and Innovation Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China., Zuo F; Clinical Research and Innovation Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China., Xue K; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Xiao Z; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Peng X; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Xu J; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Zhang X; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Chen R; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Luo S; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Zhang S; Shanghai Artificial Intelligence Laboratory, Shanghai, China., Sun X; Clinical Research and Innovation Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Publikováno v: Journal of medical Internet research [J Med Internet Res] 2024 Oct 30; Vol. 26, pp. e51711. Date of Electronic Publication: 2024 Oct 30.