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A novel reliability evaluation method on censored data

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Abstract

The effect of censored data on the average life of products was analyzed, and the relationships between the censored data and the reliability evaluation results were also given. A series of regression analysis function relationship was built to simplify the method of reliability evaluation on censored data. At a first step, a numerical simulation method was designed to create the random right censored data. Then the Bayesian and Markov chain Monte Carlo (MCMC) method was adopted to evaluate the reliability. Then we got the calculation deviation of Bayesian method under different sample sizes, different censored rates and different means of censored data. The relationships between the censored rates, the means of censored distribution and the reliability evaluation result were analyzed. Finally, we proposed the complete novel method through regression analysis. The corroboration of these relationships and the application to real life data demonstrate the advantages of the proposed methods.

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Authors and Affiliations

  1. Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an, 710038, China

    Anwei Shen, Jilian Guo, Zhuojian Wang & Wentong Jia

Authors
  1. Anwei Shen
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  2. Jilian Guo
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  3. Zhuojian Wang
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  4. Wentong Jia
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Corresponding author

Correspondence to Anwei Shen.

Additional information

Recommended by Associate Editor Nam-Su Huh

Anwei Shen was born in 1988. He is currently a Ph.D. candidate at the Aeronautics and Astronautics Engineering College, Air Force Engineering University, China. His research interests are RMS demonstration and evaluation of aircraft.

Jilian Guo was born in 1971. He received his Ph.D. degree in Air Force Engineering University. He is a Professor at the Aeronautics and Astronautics Engineering College, Air Force Engineering University, China. His research interests include life cycle cost, reliability, maintenance and supportability of system of aircraft.

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Shen, A., Guo, J., Wang, Z. et al. A novel reliability evaluation method on censored data. J Mech Sci Technol 31, 1105–1117 (2017). https://doi.org/10.1007/s12206-017-0209-y

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  • DOI: https://doi.org/10.1007/s12206-017-0209-y

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