Results 101 to 110 of about 2,284 (152)

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
semanticscholar   +3 more sources

A novel signature extracting approach for inductive oil debris sensors based on symplectic geometry mode decomposition

Measurement, 2021
Abstract On line lubricating oil debris measurement is an efficient way to judge the operating status of a machine, and the inductive oil debris sensor is widely adopted. Considering the debris sensor works in a harsh environment, it is a challenge work to reduce or separate the noise via signal processing, especially for the requirements of ...
Bing Yu, Nan Cao, Tianhong Zhang
semanticscholar   +3 more sources

Energy bubble entropy guided symplectic geometry mode decomposition for rotating machinery incipient fault feature extraction

Measurement Science and Technology
Abstract Extracting incipient fault features is a critical aspect of monitoring the rotating machinery operation condition. However, existing methods based on symplectic geometry mode decomposition (SGMD) suffer from limited parameter adaptability and noise robustness. Therefore, this paper proposes an energy bubble entropy (EbEn) guided
Wenxin Jiang, Hongkai Jiang, Renhe Yao, Mingzhe Mu, Yutong Dong   +4 more
semanticscholar   +3 more sources

Complex Symplectic Geometry Mode Decomposition and A Novel Time–Frequency Fault Feature Extraction Method

IEEE Transactions on Instrumentation and Measurement
Although the condition monitoring of sophisticated equipment plays a crucial role in practical applications, the fault symptom is often overwhelmed by the harsh working conditions with compound and unknown interfering noise.
Ge Xin, Yifei Chen, Lingfeng Li, Chuanhai Chen, Zhifeng Liu, Jérôme Antoni   +5 more
semanticscholar   +3 more sources

A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM

Measurement, 2020
Abstract A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition (SGMD) and optimized SVM is presented. In the proposed procedure, a vibration signal is firstly decomposed by SGMD into a set of components. Then a novel constraint condition based on cosine similarity is proposed to reconstruct the decomposed ...
Xiaoyuan Zhang, Chaoshun Li, Xianbo Wang, Huanmei Wu   +3 more
semanticscholar   +3 more sources

An Improved Symplectic Geometry Mode Decomposition Method for Rolling Bearing Fault Diagnosis under Variable Speed Conditions

2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2021
Fault diagnosis of rolling bearings under variable speed conditions is of vital importance and also quite challenging in industrial areas. Tacholess order tracking (TLOT) methods, which are based on successive time-frequency analysis, ridge detection and
Guangyao Zhang, Yi Wang, Yi Qin, Baoping Tang   +3 more
semanticscholar   +3 more sources

Symplectic Geometry Mode Decomposition-Based NMR Data Noise Attenuation

IEEE Transactions on Geoscience and Remote Sensing
Nuclear magnetic resonance (NMR) logging is an effective method for evaluating petrophysical parameters and fluid identification, and it is significantly promising for unconventional reservoir exploration and development. However, the NMR signal detected
Jiliu Zhou, Qun Wan, Ranhong Xie, Yongjie Zhao, Lizhi Xiao, Jiangfeng Guo   +5 more
semanticscholar   +3 more sources

Real-Time Evaluation System of Transformer Winding Short-Circuit Withstand Capability Based on Symplectic Geometry Mode Decomposition and Extreme Learning Machine

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE), 2021
Aiming at the difficulty of real-time monitoring of winding during transformer operation and insufficient methods for evaluating the short-circuit withstand capability of winding, a real-time evaluation system for the short-circuit withstand capability of transformer winding is proposed.
Jiaxu Wang, Jian Guo
semanticscholar   +3 more sources

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 ...
Shengqiang Li, Changfeng Yan, Yunfeng Hou, Bin Liu, Yu Tian, Lixiao Wu   +5 more
semanticscholar   +3 more sources

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

Measurement, 2020
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
semanticscholar   +3 more sources