A Study on Bayesian Reliability Evaluation of IPM using Simple Information 


Vol. 36,  No. 2, pp. 32-38, Apr.  2021
10.14346/JKOSOS.2021.36.2.32


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  Abstract

This paper suggests an approach to evaluate the reliability of an intelligent power module with information deficiency of prior distribution and the characteristics of censored data through Bayesian statistics. This approach used a prior distribution of Bayesian statistics using the lifetime information provided by the manufacturer and compared and evaluated diffuse prior (vague prior) distributions. To overcome the computational complexity of Bayesian posterior distribution, it was computed with Gibbs sampling in the Monte Carlo simulation method. As a result, the standard deviation of the prior distribution developed using simple information was smaller than that of the posterior distribution calculated with the diffuse prior. In addition, it showed excellent error characteristics on RMSE compared with the Kaplan–Meier method.

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[IEEE Style]

조동철 and 구정서, "A Study on Bayesian Reliability Evaluation of IPM using Simple Information," Journal of the Korean Society of Safety, vol. 36, no. 2, pp. 32-38, 2021. DOI: 10.14346/JKOSOS.2021.36.2.32.

[ACM Style]

조동철 and 구정서. 2021. A Study on Bayesian Reliability Evaluation of IPM using Simple Information. Journal of the Korean Society of Safety, 36, 2, (2021), 32-38. DOI: 10.14346/JKOSOS.2021.36.2.32.

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