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On the Use of Stochastic Resonance in Mechanical Fault Signal Detection

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Structural Health Monitoring

Part of the book series: Smart Sensors, Measurement and Instrumentation ((SSMI,volume 26))

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Abstract

This chapter focuses on the application of stochastic resonance (SR) in mechanical fault signal detection. SR is a nonlinear effect that is now widely used in weak signal detection under heavy noise circumstances. In order to extract characteristic fault signal of the dynamic mechanical components, SR normalized scale transform is presented and a circuit module is designed based on parameter-tuning bistable SR. Weak signal detection based on stochastic resonance (SR) can hardly succeed when noise intensity exceeds the optimal value of SR. Therefore, a signal detection model based on combination effect of colored noise SR and parallel bistable SR array, which is called multi-scale bistable stochastic resonance array, has been constructed. Based on the enhancement effect of the constructed model and the normalized scale transformation, weak signal detection method has been proposed. The effectiveness of these methods are confirmed and replicated by numerical simulations. Applications of bearing fault diagnosis show the enhanced detecting effects of the proposed methods.

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Acknowledgements

The authors would like to acknowledge the support of National Natural Science Foundation of China (Grant Nos. 51475463 and 51605483) and Research Project of National University of Defense Technology (Grant No. ZK-03-14).

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Authors and Affiliations

  1. National University of Defense Technology, Changsha, Hunan, People’s Republic of China

    X. F. Zhang, N. Q. Hu, L. Zhang, X. F. Wu, L. Hu & Z. Cheng

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  1. X. F. Zhang
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  2. N. Q. Hu
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  3. L. Zhang
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  4. X. F. Wu
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  5. L. Hu
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  6. Z. Cheng
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Corresponding author

Correspondence to N. Q. Hu .

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Editors and Affiliations

  1. School of Instrument Science and Engineering, Southeast University, Nanjing, China

    Ruqiang Yan

  2. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China

    Xuefeng Chen

  3. Department of Engineering, Macquarie University, Sydney, New South Wales, Australia

    Subhas Chandra Mukhopadhyay

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Zhang, X.F., Hu, N.Q., Zhang, L., Wu, X.F., Hu, L., Cheng, Z. (2017). On the Use of Stochastic Resonance in Mechanical Fault Signal Detection. In: Yan, R., Chen, X., Mukhopadhyay, S. (eds) Structural Health Monitoring. Smart Sensors, Measurement and Instrumentation, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-56126-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-56126-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56125-7

  • Online ISBN: 978-3-319-56126-4

  • eBook Packages: EngineeringEngineering (R0)

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