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

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

и другие.

Water Research, Год журнала: 2024, Номер 268, С. 122600 - 122600

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

3
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
A novel piecewise unsaturated asymmetric coupled tri-stable stochastic resonance method and its application in enhanced detection DOI
Xiaoxiao Huang, Gang Zhang,

Lianbing Xu

и другие.

Chinese Journal of Physics, Год журнала: 2025, Номер unknown

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Adaptive stochastic resonance in an improved Izhikevich neuron model driven by multiplicative and additive Gaussian noise and its application in fault diagnosis of wind turbines DOI

Lianbing Xu,

Gang Zhang, Xiaoxiao Huang

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 123566 - 123566

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

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

и другие.

Applied Acoustics, Год журнала: 2024, Номер 228, С. 110298 - 110298

Опубликована: Сен. 24, 2024

Язык: Английский

Процитировано

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

Qiongjie Xue,

Na Li

и другие.

Zeitschrift für Naturforschung A, Год журнала: 2024, Номер 79(4), С. 329 - 344

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Physica A Statistical Mechanics and its Applications, Год журнала: 2024, Номер 659, С. 130334 - 130334

Опубликована: Дек. 31, 2024

Язык: Английский

Процитировано

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

Yin Haolin

и другие.

IEEJ Transactions on Electrical and Electronic Engineering, Год журнала: 2024, Номер 19(12), С. 2044 - 2061

Опубликована: Июль 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.

Язык: Английский

Процитировано

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

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 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.

Язык: Английский

Процитировано

0
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

Процитировано

0