第5回
ベイズ更新による故障データの収集・整備と保全合理化
著者:
笠井 雅夫,Masao KASAI,草苅 良至,Yoshiyuki KUSAKARI,能登谷 淳一,Junichi NOTOYA,西村 央,Hiroshi NISHIMURA
発刊日:
公開日:
キーワードタグ:
Abstract This study represents the evaluation results of the interval estimation for Weibull parameters m and 1 by the methods based on the conventional statistics and the Bayesia n statistics. The interval estimations by the conventional statistics are not necessarily reliable when a lot of failure data are not available. Both methods provide almost same i nterval estimation when a lot of failure data are available. This study also represents the evaluation results of the replacement intervals of equipmen...
英字タイトル:
Development of failure data and Maintenance Rationalization by Using Bayesian Updating
第3回
ベイズ統計を用いた点検・取替周期の最適化
著者:
笠井 雅夫,Masao KASAI,草刈 良至,Yoshiyuki KUSAKARI,能登谷 淳一,Junichi NOTOYA
発刊日:
公開日:
キーワードタグ:
Abstract This study describes the formulations to optimize the time interval of inspections and/or replacements of equipment/parts taking into account the probability density func tions (PDF) for failure rates and parameters of failure distribution functions (FDF) and evaluates the optimized results of these time intervals using our formulations by comparin g with those using only representative values of failure rates and the parameters of FDF instead of using these PDFs. The PDFs are obtained with Bayesi...
英字タイトル:
Optimization of Inspection and Replacement Period by Using Bayesian Statistics