Results 121 to 130 of about 2,284 (152)

Symplectic period mode decomposition method and its application in fault diagnosis of rolling bearing

Journal of Vibration and Control, 2023
The rolling bearing fault signals are accompanied with the specific periodic impulse components in case of fault. Due to the background noise, the periodic impulse component is extremely weak and difficult to be extracted.
Jian Cheng, Yu Yang, Haidong Shao, Junsheng Cheng   +3 more
semanticscholar   +1 more source

Symplectic Geometry Transformation-Based Periodic Segment Method: Algorithm and Applications

IEEE Transactions on Instrumentation and Measurement, 2023
Symplectic geometry mode decomposition (SGMD) method takes the Hankel matrix as the trajectory matrix, and the eigenvalue of trajectory matrix can be obtained by symplectic geometry similarity transformation (SGST).
Haiyang Pan, Ying Zhang, Jian Cheng, Jinde Zheng   +3 more
semanticscholar   +1 more source

Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis

Structural Health Monitoring, 2022
The decoupling detection of compound faults in rolling bearing is attracting considerable attentions. In recent years, some time-series decomposition methods, such as ensemble empirical mode decomposition (EEMD), variational mode decomposition (VMD ...
Ping Ma, Hongli Zhang, Cong Wang
semanticscholar   +1 more source

Feature extraction of combined failures of rolling bearings based on adaptive variance symplectic geometry model decomposition

Journal of Vibration and Control
Vibration signals of rolling bearings with faults are characterized by strong nonlinearity and non-stationarity, making it difficult to extract fault information.
Mingyue Yu, Ziru Ma, Guanglei Meng, Li Fu   +3 more
semanticscholar   +1 more source

Research on Broadband Oscillation Mode Identification Based on Improved Symplectic Geometry Algorithm

Symmetry
The rapid integration of renewable energy sources into modern power systems has exacerbated power quality challenges, particularly broadband oscillation phenomena that threaten grid symmetry and stability.
Zhan Gan, Rui Zhang, Hanlin Ding, Jinsong Li, Chao Li, Lingrui Yang, Cheng Guo   +6 more
semanticscholar   +1 more source

Sparsity and Periodicity-Induced Symplectic Geometry Decomposition for Incipient Fault Diagnosis of Wind Turbine Gearbox

IEEE Transactions on Instrumentation and Measurement
When incipient faults of gears or bearings occur in the wind turbine gearbox, their fault information will be readily masked by intensive background noise, which may postpone the fault detection and maintenance schedule.
Bo Zhang, Wei Teng, Honghua Bai, Weiling Huang, D. Peng, Yibing Liu   +5 more
semanticscholar   +1 more source

Applications of Symplectic Geometry Theory in Electromagnetic Simulations and Signal Processing

2024 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC)
This paper primarily introduces the applications of symplectic geometry theory in high-frequency approximations of electromagnetic fields, construction of high-precision numerical algorithms, and radar signal processing.
Jin Zhao, Xianliang Wu, Guoda Xie
semanticscholar   +1 more source

Optimal symplectic geometric bi-spectrum mutual information contrastive learning framework for fault diagnosis of helicopter spiral bevel gear

Measurement science and technology
The vibration of helicopter spiral bevel gears has a complex signal pattern that is nonlinear, non-stationary, and with strong background noise, which makes it difficult to meet the requirements of intelligent fault diagnosis by simply using a physical ...
Can-fei Sun, Youren Wang, Zheng Tian
semanticscholar   +1 more source

A New SG-SVMD Technique for Multi-Domain Decomposition of Human Vital Signs Signals Based on FMCW Radar

IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization
In this paper, a method based on symplectic geometry sucessive variational mode decomposition (SGSVMD) is proposed for non-contact heart rate monitoring using Frequency Modulated Continuous Wave (FMCW) radar.
Lei Wan, Zi-Kai Yang, Zihao Zhang, Ruijie Zhang   +3 more
semanticscholar   +1 more source

Modern developments in germline pharmacogenomics for oncology prescribing

Ca-A Cancer Journal for Clinicians, 2022
Natalie M Reizine, Peter H O'donnell
exaly