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This 2-day course covers the basic concepts, methods & tools for reliability analysis of engineering systems. These tools can be used to measure the reliability of a component, evaluate the reliability of a system, identify the weakest component in ...


 
Course Outline
Reliability Engineering for Asset Management is a 2-day course that covers the basic concepts, methods, and tools for reliability analysis of engineering systems. These tools can be used to measure the reliability of a component, evaluate the reliability of a system, identify the weakest component in a system, determine the redundancy levels and spare inventory levels to ensure safe and cost-effective operations, and minimize the overall running and maintenance costs. Objectives

The objectives of the course is to ensure that the attendees will be able to apply reliability analysis tools in their work to help apply reliable operation of their organization’s engineering facilities and/or to help improve the reliability of their organization’s products.

Target Audience

Anyone whose job is related to ensuring reliable operation of engineering facilities; Reliability engineers; Quality engineers; Maintenance engineers; Maintenance technicians; Project engineers; Production supervisors; Inventory control managers.

Program Outline (1.2 CEUs / 12 PDHs)


Day 1

  • Introduction and component reliability analysis.
  • Reliability definition and reliability examples;
  • Using statistical distributions to handle uncertainty;
  • Component Reliability Analysis;
  • Commonly used lifetime distributions;
  • Reliability concepts and reliability measures;
  • Reliability plotting techniques for fitting distributions and estimating parameters;
  • Goodness-of-fit methods for fitting distributions;
  • Applications of component reliability models in spare parts management,
  • Replacement scheduling, etc.

Day 2

  • System reliability models,
  • FTA, FMECA, and Case studies.
  • System Reliability Analysis;
  • Reliability block diagrams;
  • Series, parallel, and series-parallel system models;
  • Standby system model;
  • The k-out-of-n system model;
  • Costs of unreliability;
  • Optimal system design;
  • Fault Tree Analysis (FTA);
  • Development of a fault tree;
  • Evaluation of a fault tree;
  • Failure Mode, Effect, and Criticality Analysis (FMECA);
  • FMECA types; FMECA procedure;
  • Applications of FMECA; Case studies
After Attending This Course You Will Be Able To
  • Incorporate reliability tools in engineering design.
  • Analyze failure data and maintenance records within your organization and implement reliability improvement projects.
  • Set new goals and bench marks for your maintenance and support activities.
  • Balance reliability and costs for the facilities in your organization. 
Special Features
  • Demonstration of reliability analysis software packages Weibull++ and BlockSim; demonstration:
  • Case study of furnace reliability analysis.
Instructor Dr. Ming J Zuo received the Bachelor of Science degree in Agricultural Engineering in 1982 from Shandong Institute of Technology, China, and the Master of Science degree in 1986 and the Ph.D. degree in 1989 both in Industrial Engineering from Iowa State University, Ames, Iowa, U.S.A. He is currently Professor in the Department of Mechanical Engineering at the University of Alberta, Canada. His research interests include system reliability analysis, maintenance modeling and optimization, signal processing, and fault diagnosis.

He has published more than 100 journal papers and more than 100 conference papers. He is Associate Editor of IEEE Transactions on Reliability, Regional Editor for North and South American region for International Journal of Strategic Engineering Asset Management, and Editorial Board Member of IIE Transactions, Reliability Engineering and System Safety, Journal of Traffic and Transportation Engineering, International Journal of Quality, Reliability and Safety Engineering, and International Journal of Performability Engineering. He also served as Department Editor of IIE Transactions (2005-2008). He is Senior Member of IEEE and IIE and Founding Fellow of International Society of Engineering Asset Management.
Prerequisites & Certificates
Pre-Requisites

Certificates offered

A certificate of completed Continuing Education Units (CEUs) will be granted at the end of this course. Each participant will receive a complete set of course notes and handouts that will serve as informative references.


Cancellation Policy
If you wish to withdraw from a course, you must advise us, in writing, including the official receipt. Our policies regarding refund are:

More than fifteen business days in advance: a full refund minus $50.00 administration charge.

Fifteen or less business days in advance: a transfer to another course or a credit, valid for one year, to another GIC course can be considered. Credits are transferable within your organization.

If the course has been running for more than 2 weeks, or after the course has started, an 80% credit towards another GIC course may be considered, if notice is received before the start date of the second session. After this time, no refunds or credits will be issued. If a speaker is not available due to unforeseen circumstances, another speaker of equal ability will be substituted.

GIC reserves the right to cancel or change the date or location of its events. GIC's responsibility will, under no circumstances, exceed the amount of the fee collected. GIC is not responsible for the purchase of non-refundable travel arrangements or accommodations or the cancellation/change fees associated with cancelling them. Please call to confirm that the course is running before confirming travel arrangements and accommodations.

Refund Policy: Allow up to 30 days for refunds to be processed.

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Global Innovative Campus
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