A semi-analytical Monte Carlo simulation method for system's reliability with load sharing and damage accumulation

نویسندگان

  • Kai Yang
  • Hisham Younis
چکیده

A novel approach for assessing a systems’ reliability with dependency structures, load sharing, and damage accumulation and reversal is proposed in this paper. It is a blend of analytical reliability analysis performed at the component level, and is based on understanding the failure mechanism of the components, and a Monte Carlo simulation for the entire system to assess the reliability at the system level incorporating the dynamics of the system behavior as the components interact, share loads, and age over time. Model reduction is deployed to reduce the complexity and accelerate the simulation and convergence of the analytical methods such as FORM and SORM performed at the component level. Numerical examples are provided to illustrate the usability and performance of the method. q 2004 Elsevier Ltd. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Loss of Load Expectation Assessment in Deregulated Power Systems Using Monte Carlo Simulation and Intelligent Systems

Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. Also, because of power market and generators’ forced outages stochastic behavior, Monte Carlo Simulation is used for reliability evaluation. Generation r...

متن کامل

Analytical Techniques for Helicopter Component Reliability

An effective analytical approach without Monte Carlo simulation was previously presented by the U.S. Army (Ref. [1]) to evaluate fatigue reliability of helicopter dynamic components. This analytical approach required selection of a reference S/N curve for damage evaluation. Overall reliability of a given life was based on the assumption of weighted sums of the equivalent damage rates of all ste...

متن کامل

Presenting a New Algorithm for Determining Optimal Replaceable Capacity of Conventional Power Plants by Renewable Power Plants Based on Monte Carlo Method

Given the substitution process of generators using renewable energy sources instead of conventional generators in modern power systems, this paper proposes a Monte Carlo based method to determine an optimal level of this change. At first, LOLE index of the system was calculated without wind power to obtain the reference index. Then, the wind turbine units are replaced with the conventional gene...

متن کامل

Monte Carlo Simulation to Compare Markovian and Neural Network Models for Reliability Assessment in Multiple AGV Manufacturing System

We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...

متن کامل

Estimating Reliability in Mobile ad-hoc Networks Based on Monte Carlo Simulation (TECHNICAL NOTE)

Each system has its own definition of reliability. Reliability in mobile ad-hoc networks (MANET) could be interpreted as, the probability of reaching a message from a source node to destination, successfully. The variability and volatility of the MANET configuration makes typical reliability methods (e.g. reliability block diagram) inappropriate. It is because, no single structure or configurat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Rel. Eng. & Sys. Safety

دوره 87  شماره 

صفحات  -

تاریخ انتشار 2005