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

et al.

Probabilistic Engineering Mechanics, Journal Year: 2024, Volume and Issue: unknown, P. 103697 - 103697

Published: Oct. 1, 2024

Language: Английский

A novel piecewise unsaturated asymmetric coupled tri-stable stochastic resonance method and its application in enhanced detection DOI
Xiaoxiao Huang, Gang Zhang,

Lianbing Xu

et al.

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0
Continuous unsaturated second-order hybrid multi-stable stochastic energy resonance and its application in rolling bearing fault diagnosis DOI

Wenchuan Cui,

Shangbin Jiao, Rui Gao

et al.

Applied Acoustics, Journal Year: 2024, Volume and Issue: 228, P. 110298 - 110298

Published: Sept. 24, 2024

Language: Английский

Citations

2
Acoustic Leak Localization for Water Distribution Network Through Time-delay-based Deep Learning Approach DOI
Rongsheng Liu, Tarek Zayed, Rui Xiao

et al.

Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122600 - 122600

Published: Oct. 9, 2024

Language: Английский

Citations

2
A single-parameter multi-stable stochastic resonant nonlinear system with external signal coupled control and its application DOI

Wenchuan Cui,

Shangbin Jiao, Rui Gao

et al.

Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116280 - 116280

Published: Nov. 1, 2024

Language: Английский

Citations

2
Novel compound multistable stochastic resonance weak signal detection DOI
Shangbin Jiao,

Qiongjie Xue,

Na Li

et al.

Zeitschrift für Naturforschung A, Journal Year: 2024, Volume and Issue: 79(4), P. 329 - 344

Published: Feb. 23, 2024

Abstract The research on stochastic resonance (SR) which is used to extract weak signals from noisy backgrounds of great theoretical significance and promising application. To address the shortcomings classical tristable SR model, this article proposes a novel compound multistable (NCMSR) model by combining Woods–Saxon (WS) models. influence parameters NCMSR systems output response performance studied under different α stable noises. Meanwhile, adaptive synchronization optimization algorithm based proposed employed achieve periodic non-periodic signal identifications in noise environments. results show that system outperforms terms detection performance. Finally, applied 2D image processing, achieves reduction recovery effects.

Language: Английский

Citations

1
Adaptive Multi-parameter Constrained Time-delay Feedback Tri-stable Stochastic Resonance Combined with EEMD for Rolling Bearing Fault Diagnosis DOI
Xiaoxiao Huang, Gang Zhang, Jiaqi Xu

et al.

Physica A Statistical Mechanics and its Applications, Journal Year: 2024, Volume and Issue: 659, P. 130334 - 130334

Published: Dec. 31, 2024

Language: Английский

Citations

1
Adaptive Optimal Resonance Fault Feature Enhancement for Wind Turbine Based on Frequency Search and Uncertainty Analysis DOI
Jian Dang, Yile Wang,

Yin Haolin

et al.

IEEJ Transactions on Electrical and Electronic Engineering, Journal Year: 2024, Volume and Issue: 19(12), P. 2044 - 2061

Published: July 14, 2024

The wind turbine fault feature has strong uncertainty due to various factors such as speed and equipment parameters. Based on the analysis of vibration characteristics turbines with unknown prior conditions, this paper conducts research enhancement method features. First, analyzing change in features caused by operating conditions lay foundation for subsequent research; Second, frequency, searching constructing energy each spectral interval, then use signal noise optimal resonance transfer low frequency achieve purpose adaptive feature; Finally, validation proposed simulation experiments signals actual rolling bearings. case shows that algorithm can effectively realize uncertain search enhancement. © 2024 Institute Electrical Engineers Japan Wiley Periodicals LLC.

Language: Английский

Citations

0
Robust post-processing time frequency technology and its application to mechanical fault diagnosis DOI Creative Commons
Junbo Long, Changshou Deng, Haibin Wang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 3, 2024

Post-processing synchrosqueezing transform and synchroextracting methods can improve TFR resolution for fault diagnosis. The normal signal be described by infinite variance process, 1 < α ≤ 2, even the background noise belongs to process under complex conditions. effect of traditional SST SET is greatly reduced lost in environment. Several robust post-processing are proposed including FSET, FSSET, FSOSET FMSST technology employing statistical model FLOS, their mathematical derivation completed this paper. compared with conventional methods, results show that achieve better than existing methods. In addition, new applied diagnose bearing outer race DE signals polluted result demonstrates they have performance advantages. Finally, characteristics, shortcomings application scenarios improved algorithms summarized.

Language: Английский

Citations

0
Nonlinear coupled asymmetric stochastic resonance for weak signal detection based on intelligent algorithm optimization DOI
Shaojuan Ma, Yuan Liu, Xiaoyan Ma

et al.

Probabilistic Engineering Mechanics, Journal Year: 2024, Volume and Issue: unknown, P. 103697 - 103697

Published: Oct. 1, 2024

Language: Английский

Citations

0