Application of Bayesian Theorem to the Establishment of Probability of Failure Data for Equipments at Risk Based Inspection Planning
-
- SAKAI Shinsuke
- The University of Tokyo
Bibliographic Information
- Other Title
-
- リスクベース検査における機器の破損確率データ収集のためのベイズ定理の応用
- リスクベース検査における機器の破損確率データ収集のためのベイズ定理の応用(第2報 ガイドラインの中での利用)
- リスクベース ケンサ ニ オケル キキ ノ ハソン カクリツ データ シュウシュウ ノ タメ ノ ベイズ テイリ ノ オウヨウ ダイ2ホウ ガイドライン ノ ナカ デ ノ リヨウ
- (第二報 ガイドラインの中での利用)
- Application in guidelines -2-
Search this article
Abstract
In the previous report, the fundamental principle of Bayesian update was shown. It was shown that Bayesian method is extremely effective to establish database for probability of failure (PoF) of equipments based on inspection data. From a practical point of view, it is important to understand a concrete procedure to apply the Bayesian method for the evaluation of PoF. Fortunately, a guideline published by American Petroleum Institute (API) shows the procedure using Bayesian method for the likelihood analysis. In API581, Technical Module Subfactor (TMSF) plays an important role for the evaluation of likelihood. In this report, the way to apply Bayesian method to the determination of TMSF will be shown.
Journal
-
- Journal of High Pressure Institute of Japan
-
Journal of High Pressure Institute of Japan 43 (1), 22-27, 2005
HIGH PRESSURE INSTITUTE OF JAPN(HPI)
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390001204618050304
-
- NII Article ID
- 10014331133
-
- NII Book ID
- AN00011762
-
- ISSN
- 13479598
- 03870154
-
- NDL BIB ID
- 7239281
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- CiNii Articles
-
- Abstract License Flag
- Disallowed