American Journal of Physics and Applications

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A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method

Received: Sep. 21, 2017    Accepted: Oct. 11, 2017    Published: Nov. 21, 2017
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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.

DOI 10.11648/j.ajpa.20180601.12
Published in American Journal of Physics and Applications ( Volume 6, Issue 1, January 2018 )
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

Keywords

High Performance Composite Components, Bistable Adaptation, Noise Reduction

References
[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.
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  • 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

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    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

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    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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  • @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://download.sciencepg.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}
    }
    

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    T1  - A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method
    AU  - Rui Tang
    AU  - Zheng Zhang
    Y1  - 2017/11/21
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    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
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    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
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    ER  - 

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Author Information
  • School of Mechanical Engineering, Panzhihua University, Panzhihua, China

  • School of Mechanical Engineering, Xihua University, Chengdu, China

  • Section