This paper aimed at the key problems which the monitoring and fault diagnosis of process system generated in the high performance composite components manufacturing, established a new type of second-order bistable model, proposed a kind of adaptive stochastic resonance noise reduction method based on the model, and experimented to verifiy, it has very good detection effect and higher operation effect.
| Published in | American Journal of Physics and Applications (Volume 6, Issue 1) |
| DOI | 10.11648/j.ajpa.20180601.12 |
| Page(s) | 6-10 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
High Performance Composite Components, Bistable Adaptation, Noise Reduction
| [1] | Qin Yi, Wang Teng, He Qiyuan, Ren Bing. Application of Higher Density Wavelet Transform to Composite Fault Diagnosis of Rolling Bearing [J]. Journal of Chongqing University, 2013, 36(3): 13-19. |
| [2] | R. Benzi, A. Sutera, A. Vulpiana. The mechanism of stochastic resonance [J]. Journal of Physics A: Mathematical and General, 1981, 14(11): 453–457. |
| [3] | H. Gang, G. Nicolis, C. Nicolis. Periodically forced Fokker–Planck equation and stochastic resonance [J], Physical ReviewA, 1990, 42 (4): 2030–2041. |
| [4] | L. Gammaitoni, P. Hanggi, P. Jung, F. Marchesoni. Stochastic Resonance [J]. Reviews of Modern Physics, 1998, 70(1): 223–287. |
| [5] | Len Yonggang, Wang Taiyong. Numerical Research of Twice Sampling Stochastic for The detection of A Weak Signal Submerged in A Heavy Noise [J]. Acta Phisica Sinica, 2003, 52, 10, 2432-2437. |
| [6] | F. Mao, M. Lin, Y. Zheng. Study of weak multi-frequencies signal detection based on stochastic resonance [J]. Journal of Basic Science and Engineering, 2008, 16(1): 86–91. [74]. |
| [7] | J. Y. Tan, X. F. Chen, J. Y. Wang, H. X. Chen. H. R. Cao, Y. Y. Zi, Z. J. He. Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis [J]. Mechanical Systems and Signal Processing, 2009, 23(3): 811–822. |
| [8] | V. Kohar, K. Murali, S. Sinh. Enhanced logical stochastic resonance under periodic forcing [J], Communications in Nonlinear Science and Numerical Simulation, 2014, 19 (8): 2866–2873. |
| [9] | Len Yonggang, Wang Taiyong. Numerical Research of Twice Sampling Stochastic for The detection of A Weak Signal Submerged in A Heavy Noise [J]. Acta Phisica Sinica, 2003, 52, 10, 2432-2437. |
| [10] | V. Kohar, K. Murali, S. Sinh. Enhanced logical stochastic resonance under periodic forcing [J], Communications in Nonlinear Science and Numerical Simulation, 2014, 19 (8): 2866–2873. |
APA Style
Rui Tang, Zheng Zhang. (2017). A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method. American Journal of Physics and Applications, 6(1), 6-10. https://doi.org/10.11648/j.ajpa.20180601.12
ACS Style
Rui Tang; Zheng Zhang. A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method. Am. J. Phys. Appl. 2017, 6(1), 6-10. doi: 10.11648/j.ajpa.20180601.12
AMA Style
Rui Tang, Zheng Zhang. A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method. Am J Phys Appl. 2017;6(1):6-10. doi: 10.11648/j.ajpa.20180601.12
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Download@article{10.11648/j.ajpa.20180601.12,
author = {Rui Tang and Zheng Zhang},
title = {A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method},
journal = {American Journal of Physics and Applications},
volume = {6},
number = {1},
pages = {6-10},
doi = {10.11648/j.ajpa.20180601.12},
url = {https://doi.org/10.11648/j.ajpa.20180601.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20180601.12},
abstract = {This paper aimed at the key problems which the monitoring and fault diagnosis of process system generated in the high performance composite components manufacturing, established a new type of second-order bistable model, proposed a kind of adaptive stochastic resonance noise reduction method based on the model, and experimented to verifiy, it has very good detection effect and higher operation effect.},
year = {2017}
}
TY - JOUR T1 - A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method AU - Rui Tang AU - Zheng Zhang Y1 - 2017/11/21 PY - 2017 N1 - https://doi.org/10.11648/j.ajpa.20180601.12 DO - 10.11648/j.ajpa.20180601.12 T2 - American Journal of Physics and Applications JF - American Journal of Physics and Applications JO - American Journal of Physics and Applications SP - 6 EP - 10 PB - Science Publishing Group SN - 2330-4308 UR - https://doi.org/10.11648/j.ajpa.20180601.12 AB - This paper aimed at the key problems which the monitoring and fault diagnosis of process system generated in the high performance composite components manufacturing, established a new type of second-order bistable model, proposed a kind of adaptive stochastic resonance noise reduction method based on the model, and experimented to verifiy, it has very good detection effect and higher operation effect. VL - 6 IS - 1 ER -
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