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A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method

Received: 21 September 2017     Accepted: 11 October 2017     Published: 21 November 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.

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), 2017. 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.
Cite This Article
  • 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://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}
    }
    

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

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

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