Earticle

초록

영어

The study interprets each of three classification models based on Bath-Tub Failure Rate (BTFR), Extreme Value Distribution (EVD) and Conjugate Bayesian Distribution (CBD). The classification model based on BTFR is analyzed by three failure patterns of decreasing, constant, or increasing which utilize systematic management strategies for reliability of time. Distribution model based on BTFR is identified using individual factors for each of three corresponding cases. First, in case of using shape parameter, the distribution based on BTFR is analyzed with a factor of component or part number. In case of using scale parameter, the distribution model based on BTFR is analyzed with a factor of time precision. Meanwhile, in case of using location parameter, the distribution model based on BTFR is analyzed with a factor of guarantee time. The classification model based on EVD is assorted into long-tailed distribution, medium-tailed distribution, and short-tailed distribution by the length of right-tail in distribution, and depended on asymptotic reliability property which signifies skewness and kurtosis of distribution curve. Furthermore, the classification model based on CBD is relied upon conjugate distribution relations between prior function, likelihood function and posterior function for dimension reduction and easy tractability under the occasion of Bayesian posterior updating.

목차

Abstract
 1. 서론
 2. BTFR 관점의 유형화 모형
  2.1 모수, 비모수 척도
  2.2 계수이산형 고장갯수
  2.3 계량연속형 고장시간
 3. EVD관점의 유형화 모형
  3.1 Skewness와 Kurtosis에 의한 EVD 유형화
  3.2 Log변환에 의한 Tail분포
 4. CBD관점의 유형화 모형
  4.1 CBD단계
  4.2 CBD 점(Point)추론 예
  4.3 CBD 구간 추론
 5. 결론
 6. 참고문헌

키워드

Classification Models BTFR EVD CBD Shape Scale Location Long-Tailed Medium-Tailed Short-Tailed Prior Likelihood Posterior

저자

• 최성운 [ Sung-Woon Choi | 경원대학교 산업공학과 ] 교신저자

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