Nonlinear coupled asymmetric stochastic resonance for weak signal detection based on intelligent algorithm optimization DOI
Shaojuan Ma, Yuan Liu, Xiaoyan Ma

и другие.

Probabilistic Engineering Mechanics, Год журнала: 2024, Номер unknown, С. 103697 - 103697

Опубликована: Окт. 1, 2024

Язык: Английский

A Novel High-Dimensional Coupled FHN Neuron Stochastic Resonance Model and its Performance in Faults Recognition DOI
Lifang He, Xiaoxiao Huang, Jiaxin Hou

и другие.

Journal of Vibration Engineering & Technologies, Год журнала: 2025, Номер 13(1)

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
A high-data-rate hybrid index communication system based on quadrature chaos shift keying DOI
Gang Zhang, Shun Shao,

Tianzhi Huang

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 185, С. 115117 - 115117

Опубликована: Июнь 7, 2024

Язык: Английский

Процитировано

6
Research on steel surface defect detection system based on YOLOv5s-SE-CA model and BEMD image enhancement DOI
Shan Wang,

Xueke Fan,

Zi‐Ye Zhao

и другие.

Nondestructive Testing And Evaluation, Год журнала: 2024, Номер unknown, С. 1 - 20

Опубликована: Авг. 25, 2024

The nondestructive testing capability of steel surface defects has a significant impact on quality industrial production. However, the single-stage detection network YOLOv5s model for defect is insufficient feature extraction ability and susceptibility to noise interference in extracting images. Accordingly, system based YOLOv5s-SE-CA bi-dimensional empirical mode decomposition (BEMD) image enhancement proposed. Firstly, BEMD used threshold denoising improve images achieve preprocessing dataset. Secondly, squeeze excitation (SENet) attention mechanism introduced into backbone adaptively adjust weights each channel. Meanwhile, coordinate (CA) integrated model's focus defects. Therefore, designed enhance Experimental verification was carried out using NEU-DET noisy dataset with specific evaluation indicators system. Results showed proposed superior performance when compared traditional models trained datasets achieved more accurate steel.

Язык: Английский

Процитировано

5
A single-parameter multi-stable stochastic resonant nonlinear system with external signal coupled control and its application DOI

Wenchuan Cui,

Shangbin Jiao, Rui Gao

и другие.

Measurement, Год журнала: 2024, Номер unknown, С. 116280 - 116280

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

3
Damping-regulated GSR array method for multi-harmonic fault diagnosis under variable speed conditions DOI

Xuerui Zhang,

Kehan Chen, Huiqi Wang

и другие.

Measurement Science and Technology, Год журнала: 2025, Номер 36(3), С. 036103 - 036103

Опубликована: Янв. 29, 2025

Abstract Bearing fault diagnosis under variable speed conditions is essential due to the complexities introduced by fluctuations. The accurate detection of multi-harmonic faults critical for ensuring reliability in intricate operating environments. From perspective beneficial effects noise, this study we propose a novel damping-regulated generalized stochastic resonance (GSR) array method designed conditions. First, employ computed order tracking transform non-stationary time-domain signals into stationary angular domain. A GSR oscillator then within domain, forming basis our array. By analyzing system response, reveal diagnostic performance theory assess array’s capacity enhancing characteristics. Through simulations and experimental validation, demonstrates superior accuracy, particularly scenarios. It excels preserving weak characteristics while offering significant advantages high robustness. These findings provide potential practical applications diagnostics across various engineering systems.

Язык: Английский

Процитировано

0
Application of QGA-MCKD and stochastic feedback pooling network in variable-condition bearing diagnostics DOI
Lifang He, W. Liu, Qing Xiong

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 194, С. 116139 - 116139

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0
Time-delayed feedback multistable stochastic resonance in combination with ensemble empirical mode decomposition method and its application in the measurement of the varnished wire tension DOI
Dongjian Zhang, Yong Zhang, W. J. Fan

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 196, С. 116442 - 116442

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

0
Research and application of Gaussian coupled control bistable stochastic resonance system with independent parameter regulation DOI Creative Commons

Tiantian Hou,

Shangbin Jiao, Yi Wang

и другие.

Results in Physics, Год журнала: 2025, Номер unknown, С. 108283 - 108283

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Robust composite damage detection via feature subspace ensemble learning with data distribution shifts DOI
Zhipeng Chen, Yiwei Cheng, Haiping Zhu

и другие.

Nondestructive Testing And Evaluation, Год журнала: 2025, Номер unknown, С. 1 - 25

Опубликована: Май 6, 2025

Язык: Английский

Процитировано

0
Application of weighted iterative autocorrelation coefficient and stochastic hopfield network in bearing fault detection under variable speed conditions DOI

Gang Zhang,

W. Liu, Qing Xiong

и другие.

Nonlinear Dynamics, Год журнала: 2025, Номер unknown

Опубликована: Июнь 5, 2025

Язык: Английский

Процитировано

0