베이지안 방법을 이용한 PCB 제조공정의 펌프 고장 데이터 합성 = Synthesizing Failure Data of Pump in PCB Manufacturing using Bayesian Method

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

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7 OREDA, "Offshore Reliability Data Handbook" 2015

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11 KOSHA, "Developed Algorithm and Data Storage Bed for Reliability Data in Korea" 2016

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