Results 121 to 130 of about 124,243 (153)

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

An adaptive threshold-selected symplectic geometry mode decomposition for application to multi-modulation complex fault signals

Measurement science and technology
The signals obtained from complex mechanical systems are characterized by multilevel modulation and strong noise, which can lead to difficulties in fault feature extraction.
Zhe Lv, Congming Li, Xiaoyan Xiong, Xiangrong Wang, Wei Song, Bing Wu   +5 more
semanticscholar   +1 more source

A bearing fault diagnosis method with improved symplectic geometry mode decomposition and feature selection

Measurement science and technology
A rolling bearing fault diagnosis method based on improved symplectic geometry mode decomposition (SGMD) and feature selection was proposed to solve the problem of low fault identification due to the influence of noise on early bearing fault features ...
Shengfan Chen, Xiaoxia Zheng
semanticscholar   +1 more source

Residential load forecasting based on symplectic geometry mode decomposition and GRU neural network with attention mechanism

Applied Stochastic Models in Business and Industry
Short‐term residential load forecasting plays an increasingly important role in modern smart grids, with its main challenge being the high volatility and uncertainty of load curves.
Yuting Lu, Gaocai Wang, Xianfei Huang, Man Wu   +3 more
semanticscholar   +1 more source

A two-step bearing fault diagnosis strategy under variable speed based on symplectic geometry modal decomposition and practical fault feature extraction framework

Measurement science and technology
Strong noise interference can lead to failure of bearing fault diagnosis techniques. This paper proposes a two-step fault diagnosis strategy to address the challenge of weak fault feature extraction in bearing fault diagnosis using acoustic or vibration ...
Shuai Huang, Junxia Li, Yandong Wang, Zhixiang Qin   +3 more
semanticscholar   +1 more source

Double-Refined Symplectic Geometry Mode Decomposition

IEEE Transactions on Instrumentation and Measurement
Symplectic geometric mode decomposition (SGMD) can preserve signal structure more stably and robustly than traditional amplitude modulation and frequency modulation (AM–FM)-based mode decomposition algorithms.
Yuxing Li, Xuanming Cheng
semanticscholar   +1 more source

A Hamiltonian driven Geometric Construction of Neural Networks on the Lognormal Statistical Manifold

arXiv.org
Bridging information geometry with machine learning, this paper presents a method for constructing neural networks intrinsically on statistical manifolds. We demonstrate this approach by formulating a neural network architecture directly on the lognormal
Prosper Rosaire Mama Assandje, Teumsa Aboubakar, Joseph Dongho, Takemi Nakamura   +3 more
semanticscholar   +1 more source

GRSGMD and Its Application to Impact Source Localization Based on UGW

IEEE Sensors Journal
Impact damage localization is crucial in aircraft structural health monitoring. The integration of ultrasonic-guided waves (UGWs) and piezoelectric sensors offers a promising solution for monitoring aircraft structures. However, the challenge lies in the
Shuai Jiang, Songlai Wang, Yiping Shen, Yanfeng Peng, Yuandong Xu, Yi Liu   +5 more
semanticscholar   +1 more source

Addressing distress management challenges: Recommendations from the consensus panel of the American Psychosocial Oncology Society and the Association of Oncology Social Work

Ca-A Cancer Journal for Clinicians, 2021
Teresa L Deshields, Ryan D Nipp
exaly  

Female erectile tissues and sexual dysfunction after pelvic radiotherapy: A scoping review

Ca-A Cancer Journal for Clinicians, 2022
Deborah C Marshall, Mas, Julie Bloom Bs, Mylin A Torres   +2 more
exaly