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Performance Degradation Analysis of Doppler Velocity Sensor Based on Inverse Gaussian Process and Poisson Shock

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Stochastic Models in Reliability, Network Security and System Safety (JHC80 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1102))

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Abstract

The degraded failure of on-board Doppler Velocity Sensor (DVS), which achieves non-contact velocity measurement based on Doppler principle, can be mainly attributed to the aging of microwave modules and deviation of the radar emission angle. For the microwave modules, active devices such as Gunn diodes are prior in degradation with respect to other passive devices, with the phase noise expanding monotonically. On the other hand, the emission angle of antenna deviates due to the metro vibration. In view of the actual working condition of metro, the DVS may also suffer external shocks during the natural degradation process, which is mixed with the natural degradation by model of compound Poisson process in this paper. In view of the non-reversibility of degradation, the inverse Gaussian process is chosen to describe the gradual degradation of DVS. In addition, given the inherent and postnatal differences among individual products, such as the dislocation of active devices induced during the thermos-compression bonding and individual installation error of antenna, the drift coefficients in the model are randomized. On this basis, the impact of external shock is introduced into the reliability analysis competing with the natural degradation of components. Finally, through parameters estimation of virtual degradation testing data by simulation, the methodology is demonstrated.

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Acknowledgement

This paper was co-supported by the Natural Science Foundation of Beijing Municipality (L171003), National Natural Science Foundation of China (51620105010, 51575019), and Program 111 of China.

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Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, XueYuan Road No. 37, 100083, Beijing, China

    Yixuan Geng, Shaoping Wang, Jian Shi & Weijie Wang

Authors
  1. Yixuan Geng
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  2. Shaoping Wang
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  3. Jian Shi
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  4. Weijie Wang
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Corresponding author

Correspondence to Shaoping Wang .

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Editors and Affiliations

  1. School of Economics and Management, Beijing University of Technology, Beijing, China

    Quan-Lin Li

  2. School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China

    Jinting Wang

  3. School of Economics and Management, Beijing University of Technology, Beijing, China

    Hai-Bo Yu

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Geng, Y., Wang, S., Shi, J., Wang, W. (2019). Performance Degradation Analysis of Doppler Velocity Sensor Based on Inverse Gaussian Process and Poisson Shock. In: Li, QL., Wang, J., Yu, HB. (eds) Stochastic Models in Reliability, Network Security and System Safety. JHC80 2019. Communications in Computer and Information Science, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-15-0864-6_7

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  • DOI: https://doi.org/10.1007/978-981-15-0864-6_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0863-9

  • Online ISBN: 978-981-15-0864-6

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