Browse > Article
http://dx.doi.org/10.14346/JKOSOS.2020.35.1.79

Synthesizing Failure Data of Pump in PCB Manufacturing using Bayesian Method  

Woo, Jeong Jae (Department of Safety Engineering, Korea National University of Transportation)
Kim, Min Hwan (Department of Safety Engineering, Korea National University of Transportation)
Chu, Chang Yeop (Department of Safety Engineering, Korea National University of Transportation)
Baek, Jong Bae (Department of Safety Engineering, Korea National University of Transportation)
Publication Information
Journal of the Korean Society of Safety / v.35, no.1, 2020 , pp. 79-86 More about this Journal
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.
Keywords
bayesian method; reliability; failure rate; historical failure data;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 KOSHA, Reliability Data Utilization of Quantitative Risk Assessment for Chemical Accident Prevention, 2015.
2 KOSHA, Developed Algorithm and Data Storage Bed for Reliability Data in Korea, 2016.
3 CCPS, "Guidelines for Improving Plant Reliability Through Data Collection and Analysis", 1998.
4 OREDA, "Offshore Reliability Data Handbook - 6th Edition", 2015.
5 CCPS, "Guidelines for Chemical Process Quantitative Risk Analysis 2nd Edition", 2000.
6 OGP, "Process Release Frequencies", 2010.
7 IEEE, "Reliability Data for Pumps and Divers Valve Actuators and Valves", 1984.
8 CCPS, "Guidelines for Process Equipment Reliability Data with Data Tables", 2010.
9 J. Y. Jang, "Bayesian Estimation for Failure Rate of Competing Risks Model", Master's Thesis of Hanyang University, Seoul, pp. 13-15, 2009.
10 Y. J. Kim, "A Study of Bayesian Inference on Auto Insurance Credibility Application", Journal of the Korean Data&Information Science Society, Vol. 27, No. 4, pp. 693-695, 2013.
11 W. R. Kwang, "A Development on Reliability Data Integration Program", J. Korean Soc. Saf, Vol. 18, No. 4, pp. 164-168, 2003.
12 C. Y. Chu, "The Safety Design of Corrosive Chemical Handling Process based on Reliability Database, J. Korean Soc. Saf, Vol. 33, No. 5 , pp. 141-149, 2018.   DOI