Estimating Mean Time Between Failures Using Monte Carlo Simulation
220 likes | 344 Vues
This document outlines a procedure for estimating the Mean Time Between Failures (MTBF) of a product comprising multiple components. By employing the Monte Carlo method, we can analyze the time until failure for a product where each component has a time before failure that follows a normal distribution with specific means and standard deviations. The goal is to determine a guarantee for customers and calculate the MTBF. The outline includes programming guidance for simulating failures and offers insights into analytic and Monte Carlo solutions along with sample output.
Estimating Mean Time Between Failures Using Monte Carlo Simulation
E N D
Presentation Transcript
MAT 4830Mathematical Modeling 05 Mean Time Between Failures http://myhome.spu.edu/lauw
Reading for Next Wednesday • MCM Contest Rules, Registration and Instructions • http://www.comap.com/undergraduate/contests/mcm/instructions.php
Preview • Use Monte Carlo Method to estimate the life of products
Mean Time Between Failures Suppose that we make a product composed of n components where the ith component is guaranteed by its manufacturer to possess a time before failure that is normally distributed about the mean i with standard deviation i.
Mean Time Between Failures Assume that our product will fail when any one of its components fail. Questions: What guarantee can we offer our customers for our product? What is our product's mean time between failures (MTBF)?
Monte Carlo Solution • 3 components
Monte Carlo Solution • 3 components • Let us watch this product fail over and over by simulation
Sample Output > MTBF(1000); The mean is approximately 10.138361 The standard deviation is approximately 1.355540
Classwork • Individual (Each of you need to think through the process)
Problem 1 The example above
Problem 1 Maple Commands:
HW Problem 1 A manufactured product consists of three components. Suppose the time before failure for the parts are given by
HW Problem 1 The first component is a backup for the second; i.e., either both must fail or the third component must fail before the construct fails.
HW Problem 1 • Write a program to estimate the mean and standard deviation of the life of the product. • Briefly explain the key underlying methodology of your program.