Probabilistic Function Evaluation System (ProFES) for Maintenance Optimization

Autor:	Justin Wu, Youngwon Shin
Rok vydání:	2005
Předmět:	Computer science business.industry media_common.quotation_subject Reliability (computer networking) Probabilistic logic Reuse Reliability engineering Domain (software engineering) Software Function (engineering) business Damage tolerance Importance sampling media_common
Zdroj:	46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference.
DOI:	10.2514/6.2005-2214
Popis:	This paper presents an update of a reliability-based damage tolerance (RBDT) analysis methodology implemented in the Probabilistic Function Evaluation System (ProFES) software. The foundation of the RBDT methodology is a two-stage importance sampling (TIS) method that simulates inspection and repair effects in the short-life domain. The analytical formulation developed earlier for single inspection with perfect repair allowed reuse of the crack growth history data. However, depending on the inspection and repair policies and procedures, the longer-life parts may as well be inspected and repaired/replaced that could result in failures not considered in the TIS approach. This error is addressed in this paper using an analytical formulation for a single inspection with general repair models that would allow reuse of the crack growth history if the detected parts are replaced by original parts. Efficient computational strategies are discussed and demonstrated using a rotorcraft example problem.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b5bb027146b2c12bc0ff1fe0685ead0a https://doi.org/10.2514/6.2005-2214 Zobrazit plný text záznamu