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System Reliability Engineering

Introduction

Reliability is crucial to the success of product sales in today competitive market. Reliability test is now a common routine to most of the manufacturing. However, the application of reliability test data to compute and predict product or system reliability is not straight forward since it involves advanced statistics. Also, it is important to identify key reliability parts and weak reliability parts in a system for given part reliability, and to be able to evaluate the various options to improve the system reliability taking consideration of the cost element.

This course provides a basic understanding of the system reliability engineering, and the various methodology used in the study of system reliability for engineering products.

Course Objectives

What You Will Learn
• Reliability concepts and types of failure models
• Identify important components in a system that affect the system reliability
• Method to compute availability
• Maintenance schedule determination
• Various reliability data sources for system reliability.

Course Outline

Day 1

Module 1: Basic Reliability concepts
- relationships
- qualitative aspects of statistical models
- repairable systems and non-repairable units.
- terms used
- concept of reliability modeling.

Module 2: Failure Distribution Models
- basic concepts
- basic relationships & probability distributions

Day 2

Module 3: Qualitative System Analysis
- define a technical system and its interface from the perspective of reliability.
- structural relationship
- failure classification systems
- methods for system reliability analysis
- introduction of FMEA, FTA, Cause and Effect Diagram, Bayesian belief network, Event tree analysis and Reliability block diagram

Module 4: Statistical Modeling of Systems of Independent Components
- systems where components failures are independent
- statistical methodology
- effectiveness of different redundancy policies

Module 5: Identification of Component Important in a System
- ranking
- identifying the components that should be improved, modified or replaced
- allocating inspection and maintenance resources

Day 3

Module 6: Statistical Modeling of Systems of dependent Components
- system where components failures are dependent.
- common cause failures, cascading failures and negative dependencies.
- modeling methodology

Module 7: System Maintainability
- behavior of a system under a sequence of repair actions.
- homogeneous Poisson processes, renewal processes, non-homogeneous Poisson processes, and imperfect repair processes

Module 8: Markov Process
- Markov process and its application to model the stochastic processes of a system

Module 9: Reliability of Maintained Systems
- maintenance concepts
- effectiveness of various maintenance policies
- reliability centered maintenance, total productive maintenance and predictive maintenance

Module 10: Reliability Data Sources
- hardware reliability data sources
- commercially available data sources

Trainer(s)

Associate Professor Tan, Cher Ming

Dr. Tan Cher Ming obtained his Electrical Engineering Degree from the National University of Singapore on 1984, and M.A. Sc and Ph.D in Electrical Engineering from the University of Toronto, Canada on 1987 and 1992 respectively. He has worked in the industry on reliability and failure analysis for 10 years before joining Nanyang Technological University. The companies he has worked with are Fairchild Semiconductor, Hewlett Packard, LiteOn Power Semiconductor (Taiwan), Chartered Semiconductor Mfg.

His research work is on Reliability engineering and failure analysis, nano-technology, power semiconductor, wafer bonding. He has published 150 papers in International Journal and Conferences. He has been invited to give several talks on reliability to the industry, and given a keynote speech in International Congress on Micro-reliability and Nano-reliability.

He is the immediate past Chair of IEEE Singapore Section, Chair of IEEE Nanotechnology Chapter in Singapore, Adjunct Senior Scientist in SIMTech, Fellow of Singapore Quality Institute, and Senior member in both the IEEE and ASQ. He was also awarded the first Distinguish Professor in Asia by Mathwork Inc. USA, and listed in Who’s Who in the World as well as Marquis Who’s Who in Science and Engineering, USA. He is also a reviewer of many international Journals, Chair of several International Conferences. He is the Chair of the Certified Reliability Engineers Program in the Singapore Quality Institute since 1999.

He is continuing giving consultation to industry in the area of reliability. Examples of some companies are Applied Materials, Delphi Automotive, Infineon Asia Pacific, Vestas R&D etc. He has also assisted RSAF to set up their electronic failure analysis Lab.

Who Should Attend

• R&D engineers
• Reliability engineers

Prerequisite
Knowledge of basic statistics.

Course Details

Date:

3 to 5 August 2009

Time:

9:00am to 5:00pm

Venue:

NTU@one-north campus, Executive Centre

Closing Date:

20 July 2009

Fee:

Standard: SGD$980 Alumni: SGD$784 Group (3 & Above): SGD$882

Registration fees inclusive of:

Course materials
Light refreshments
Lunch
Complimentary parking (1 entry/day) - applicable at NTU@one-north campus only.
Prevailing GST

Online Registration

>> CLICK HERE to Register Online

Methods of Payment

1. Credit Card (Visa and Mastercard only)

2. Cheque made payable to Nanyang Technological University

3. Invoice to Company (for Company Sponsored Participants)

4. E-invoice (for Government Organizations)

Cancellation & Refund Policy

Written notification to cce@ntu.edu.sg or fax: (+65) 6774 2911 at least 10 days before course commencement	No cancellation charges (Full refund)
Written notification within 4 – 9 days before course commencement	50% of course fees (50% refund)
Written notification within 3 days before course commencement	100% of course fees (No refund)