Results 101 to 110 of about 211 (127)

Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition

Structural Health Monitoring
Rolling bearing compound faults (RBCF) always interact and couple with each other, which makes it tremendously challenging to accurately diagnose them by processing the collected vibration signals. For the sake of separating and extracting fault features in RBCF, a novel method based on enhanced minimum entropy deconvolution (EMED) with adaptive ...
Changfeng Yan, Lixiao Wu
exaly   +2 more sources

Enhanced symplectic geometry mode decomposition and its application to rotating machinery fault diagnosis under variable speed conditions

Mechanical Systems and Signal Processing, 2022
Guangyao Zhang, Baoping Tang, Yi Qin
exaly   +2 more sources

Output-Only Structural System Identification Based on Symplectic Geometry Mode Decomposition

Volume 1: Acoustics, Vibration, and Phononics, 2021
Abstract In this paper, a novel output-only structural system identification method is proposed based on the decomposition of the response signal by applying newly developed symplectic geometry mode decomposition (SGMD). The SGMD can decompose the output signal into a limited of single component signals which are also called symplectic ...
Zhan Pengming, Qin Xianrong, Zhang Qing, Sun Yuantao   +3 more
openaire   +1 more source

Double-Refined Symplectic Geometry Mode Decomposition

IEEE Transactions on Instrumentation and Measurement
Yuxing Li
exaly   +2 more sources

A new gear weak feature extraction method based on modified symplectic geometry mode decomposition

Digital Signal Processing
Wenlong Liu, Yiyuan Gao, Zhiyi He
exaly   +2 more sources

Structural Modal Parameters Identification Under Ambient Excitation Using Optimized Symplectic Geometry Mode Decomposition

International Journal of Structural Stability and Dynamics, 2023
In the process of structural modal parameters identification under environmental excitation, the employed measured dynamic response signal is usually non-stationary and contains noise. As a novel signal analyzed method, symplectic geometry mode decomposition (SGMD) has been proven to be effective for dealing with non-stationary and noisy signals ...
Hu, Feng, Zhi, Lunhai, Zhou, Kang, Li, Shouji, Hu, Zhixiang   +4 more
openaire   +1 more source

Improved symplectic geometry mode decomposition based correlation method in white light scanning interferometry

Optics and Lasers in Engineering
Jingtang Hao, Long Ma, Xinyi Zhao
exaly   +2 more sources

Maximum envelope-based Autogram and symplectic geometry mode decomposition based gear fault diagnosis method

Measurement, 2021
Abstract Autogram is an effective optimal frequency band selection method, in which the signal spectrum is divided by the maximum overlapping discrete wavelet packet transform (MODWPT) and the position of maximum kurtosis value is used as the optimal frequency band.
Xinglong Wang, Jinde Zheng, Haiyang Pan, Qingyun Liu, Chengjun Wang   +4 more
openaire   +1 more source

Application of Improved Symplectic Geometry Mode Decomposition Algorithm in Evaluation System of Transformer Winding Short‐Circuit Withstand Ability

IEEJ Transactions on Electrical and Electronic Engineering, 2021
During the operation of the power transformer, the fault location often occurs in the winding, and the fault phenomenon caused by insufficient short‐circuit withstand ability of the winding is particularly prominent. Based on this problem, this article proposes an improved symplectic geometry mode decomposition (ISGMD) algorithm to evaluate the short ...
Jiaxu Wang, Jian Guo
openaire   +1 more source

Synergistic integration of cyclic clustered symplectic geometry mode decomposition and enhanced inception-time network for acoustic emission detection of internal defects in magnetic tiles

Measurement: Journal of the International Measurement Confederation
Qinyuan Huang, Fei Sun, Xiang Shi
exaly   +2 more sources