Synthesizing Failure Data of Pump in PCB Manufacturing using Bayesian Method 


Vol. 35,  No. 1, pp. 79-86, Feb.  2020
10.14346/JKOSOS.2020.35.1.79


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  Abstract

Failure data that has systematically managed for a long time has high reliability to an estimated volume. But since much cost and effort are needed to secure reliability data, data from overseas country is used in quantitative risk analysis in many workplaces. Reliability of the data that can be collected in workplaces can be dropped because of insufficient sample or lack of observation time. Therefore, estimated data is difficult to use as it is and environment and characteristic of the workplace cannot be reflected by using data from overseas country. So this study used Bayesian method that can be used reflecting both reliability data from overseas country and workplace failure data that has less samples. As a setting toward difficult situation that securing sufficient failure data cannot be achieved, we composed workplace failure data equivalent to mass observation time 20%(t=17000), 40%(t=24000), 60%(t=31000), 80%(t=38000) and IEEE data by using Bayesian method.

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  Cite this article

[IEEE Style]

우정재, 김민환, 추창엽, 백종배, "Synthesizing Failure Data of Pump in PCB Manufacturing using Bayesian Method," Journal of the Korean Society of Safety, vol. 35, no. 1, pp. 79-86, 2020. DOI: 10.14346/JKOSOS.2020.35.1.79.

[ACM Style]

우정재, 김민환, 추창엽, and 백종배. 2020. Synthesizing Failure Data of Pump in PCB Manufacturing using Bayesian Method. Journal of the Korean Society of Safety, 35, 1, (2020), 79-86. DOI: 10.14346/JKOSOS.2020.35.1.79.

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