Reliability 1. Probability a product will perform as promoted for a given time period under given conditions Functional Failure: does not operate as designed.

Slides:



Advertisements
Similar presentations
Chapter 12 Maintainability and Availability introduction Availability analysis of the system requires a knowledge: (1)How the components are functional.
Advertisements

Reliability Engineering (Rekayasa Keandalan)
RELIABILITY Dr. Ron Lembke SCM 352. Reliability Ability to perform its intended function under a prescribed set of conditions Probability product will.
6. Reliability Modeling Reliable System Design 2010 by: Amir M. Rahmani.
5/18/2015CPE 731, 4-Principles 1 Define and quantify dependability (1/3) How decide when a system is operating properly? Infrastructure providers now offer.
SMJ 4812 Project Mgmt and Maintenance Eng.
James Ngeru Industrial and System Engineering
Reliability Extending the Quality Concept. Kim Pries ASQ  CQA  CQE  CSSBB  CRE APICS  CPIM Director of Product Integrity & Reliability for Stoneridge.
Reliability of Systems
Optimal testing-resource allocation with genetic algorithm for modular software systems Reporter : Wang Jing-Yo Date : 2004/05/26.
Failure Rate Estimation M.Lampton UCB SSL An upper limit on failure rate, or a lower limit on MTTF, is required to establish system reliability The limit.
Reliability A. A. Elimam. Reliability: Definition The ability of a product to perform its intended function over a period of time and under prescribed.
Copyright 2007 Koren & Krishna, Morgan-Kaufman Part.2.1 FAULT TOLERANT SYSTEMS Part 2 – Canonical.
1 Fundamentals of Reliability Engineering and Applications Dr. E. A. Elsayed Department of Industrial and Systems Engineering Rutgers University
1 Review Definition: Reliability is the probability that a component or system will perform a required function for a given period of time when used under.
Introduction Before… Next…
THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson Learning TM 1 Chapter 13 Reliability.
Reliability Chapter 4S.
Copyright © 2014 by McGraw-Hill Education (Asia). All rights reserved. 4S Reliability.
Operations Management
Industrial Engineering
Project & Quality Management Quality Management Reliability.
4. Dynamic reliability models Objectives Be able to find reliability of series, parallel, stand-by and shared load parallel systems, when the reliabilities.
1 Reliability Prediction A Quest for Reliable Parameters By Yair Shai.
1 Reliability Application Dr. Jerrell T. Stracener, SAE Fellow Leadership in Engineering EMIS 7370/5370 STAT 5340 : PROBABILITY AND STATISTICS FOR SCIENTISTS.
Chapter 6 Time dependent reliability of components and system.
-Exponential Distribution -Weibull Distribution
The Poisson Process. A stochastic process { N ( t ), t ≥ 0} is said to be a counting process if N ( t ) represents the total number of “events” that occur.
Reliability Engineering
Transition of Component States N F Component fails Component is repaired Failed state continues Normal state continues.
Reliability Study of Power Generation System Utilizing Wind Power Derek H. Geiger DSES-6070 HV5 Term Project 31-March-2008.
4s-1Reliability William J. Stevenson Operations Management 8 th edition.
An Application of Probability to
4s-1 McGraw-Hill Ryerson Operations Management, 2 nd Canadian Edition, by Stevenson & Hojati Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights.
1 Component reliability Jørn Vatn. 2 The state of a component is either “up” or “down” T 1, T 2 and T 3 are ”Uptimes” D 1 and D 2 are “Downtimes”
EML EML 4550: Engineering Design Methods Probability and Statistics in Engineering Design: Reliability Class Notes Hyman: Chapter 5.
Reliability Failure rates Reliability
4/25/2017 Reliability Chapter Ten Reliability Reliability.
Failures and Reliability Adam Adgar School of Computing and Technology.
Chapter 4 Supplement Reliability 1Saba Bahouth – UCO.
Stracener_EMIS 7305/5305_Spr08_ Reliability Models & Applications (continued) Dr. Jerrell T. Stracener, SAE Fellow Leadership in Engineering.
School of Information Technologies Poisson-1 The Poisson Process Poisson process, rate parameter e.g. packets/second Three equivalent viewpoints of the.
Unit-3 Reliability concepts Presented by N.Vigneshwari.
Exponential Distribution (Chapter 14) M.I.G. McEachern High School.
Part.2.1 In The Name of GOD FAULT TOLERANT SYSTEMS Part 2 – Canonical Structures Chapter 2 – Hardware Fault Tolerance.
RELIABILITY Dr. Ron Lembke SCM 352. Uncertainty? What is it? How do you prepare for it? Known unknowns? Unknown unknowns?
CS203 – Advanced Computer Architecture Dependability & Reliability.
 How do you know how long your design is going to last?  Is there any way we can predict how long it will work?  Why do Reliability Engineers get paid.
1 Introduction to Engineering Spring 2007 Lecture 16: Reliability & Probability.
4s-1 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved.
PRODUCT RELIABILITY ASPECT RELIABILITY ENGG COVERS:- RELIABILITY MAINTAINABILITY AVAILABILITY.
Module 13 Reliability 1. Key Dimensions of Quality Performance – primary operating characteristics Features – “bells and whistles” Reliability – probability.
EMIS 7300 SYSTEMS ANALYSIS METHODS FALL 2005
LOG 211 Supportability Analysis “Reliability 101”
Poisson Distribution.
Most people will have some concept of what reliability is from everyday life, for example, people may discuss how reliable their washing machine has been.
Software Reliability PPT BY:Dr. R. Mall 7/5/2018.
TIME TO FAILURE AND ITS PROBABILITY DISTRIBUTIONS
Software Reliability: 2 Alternate Definitions
Reliability and Maintainability
Software Test Termination
Reliability Failure rates Reliability
Reliability.
THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson Learning TM 1 Chapter 13 Reliability.
Continuous distributions
Reliability.
Production and Operations Management
Chapter 6 Time dependent reliability of components and system
RELIABILITY THEORY Presented By S.ITHAYA EZHIL MANNA Assistant Professor In Mathematics St.Joseph’s College Trichy-2.
Uniform Probability Distribution
Presentation transcript:

Reliability 1

Probability a product will perform as promoted for a given time period under given conditions Functional Failure: does not operate as designed Reliability Failure: does not operate as designed as long as it is supposed to Maintainability: related to durability and refers to once a product breaks, what is the probability it can become functional again 2

Inherent Reliability is Designed Reliability Found by reliability testing 3

Achieved Reliability is Empirical 4

Infant Mortality Period: if it makes it by time x, then the constant failure rate takes over 5

Failure Rate, lambda, is units per hour lambda = number of failures/total unit operating hours 6

Mean Time to Failure MTTF (non repairable) or Mean Time Between Failure MTBF (repairable items) is theta = 1/lambda 7

For a given p of failure, what is the p of failure in a given time interval p = e ^ (- lambda (t2-t1)) number happening in given time that is Poisson distributed which means the interval between is exponentially distributed 8

Reliability Function R of given time (R T = e^(-lambda * T) 9

Reliability of process with Tasks in Serial R 1 times R 2 … times R N 10

Reliability of process with steps in parallel 1-(1-R 1 )(1-R 2 )(1-R n ) 11

Redundancy and Apollo 13 12