Presentation | 2000/10/13 On a condition monitoring type inspection policy with utility function : Risk-based technique by Augmented Probability Simulation Hiroshi FUKUOKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this article, we discuss a numerical analysis technique for an optimization problem of a maintenance policy related to safety. Generally, in a maintenance policy problem, one assumes a cost for a failure and investigates a trade off with a total failure cost and a total maintenance cost. However, in safety problem, a risk in connection with a overall failure rates is a criteria. Therefore we think about the case that a utility function is assumed for each object. As a maintenance policy model, a beterioration parameter about failures related to safety is assumed to be observed, for example, by Non Destructive Inspection methods. Replacement will take place, when the observed value exceeds a limit value. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Utility function / Monte Carlo simulation / Stratified importance sampling / monitoring type inspection |
Paper # | R2000-19 |
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Committee | R |
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Conference Date | 2000/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Reliability(R) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On a condition monitoring type inspection policy with utility function : Risk-based technique by Augmented Probability Simulation |
Sub Title (in English) | |
Keyword(1) | Utility function |
Keyword(2) | Monte Carlo simulation |
Keyword(3) | Stratified importance sampling |
Keyword(4) | monitoring type inspection |
1st Author's Name | Hiroshi FUKUOKA |
1st Author's Affiliation | Signalling and Telecommunications Technology Division Railway Technical Research Institute() |
Date | 2000/10/13 |
Paper # | R2000-19 |
Volume (vol) | vol.100 |
Number (no) | 377 |
Page | pp.pp.- |
#Pages | 4 |
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