16
January 2020

Reliability Engineering, Maintenance Optimization, and Asset Management

Status: The event is open
Date: Thursday, January 16, 2020 - Friday, January 17, 2020
Time: 8:00 AM–8:30 AM: Registration - Day 1
8:30 AM–4:30 PM: Day 1 and Day 2
Location: Vancouver, BC
Presenter: Dr. Zhigang (Will) Tian, P.Eng.,
Associate Professor, Department of Mechanical Engineering, University of Alberta
Credit: 14 Formal Professional Development Hours (PDH)
Cost: Early Bird Price Engineers and Geoscientists BC Member: $899.00 + GST = $943.95 until Jan 2, 2020

Engineers and Geoscientists BC Member and EIT/GIT Regular Price: $999.00 + GST = $1,048.95

Non-Member Price: $999.00 + GST = $1,048.95

Student Member Price: $500.00 + GST = $525.00
Please Note: *A minimum number of registrations are needed by January 02, 2020 to proceed with this seminar. Please register early to avoid cancellation.
**All prices are subject to applicable taxes.
Contact: Jennifer Chan | Professional Development Coordinator
Direct: 604.412.4861
Toll Free: 1.888.430.8035 ext.4861
Fax: 604.639.8180
Email: [email protected]
After this course, participants will gain a comprehensive understanding of basic concepts, methods, and tools in the area of reliability engineering, maintenance optimization, and engineering asset management. They will learn the topics of reliability and maintenance concepts, component and system reliability analysis, preventive maintenance, condition-based maintenance, asset management programs, and various techniques and tools. The participants will also learn these topics through multiple examples and case studies.

Course Outline and Description

Day 1

Part 1 Reliability Basics

  • 1.1 – Introduction
  • 1.2 – Reliability Fundamentals

Part 2 Component Reliability Analysis

  • 2.1 – Lifetime Distributions
  • 2.2 – Reliability Data Analysis

Part 3 System Reliability Analysis

  • 3.1 – System Reliability Analysis
  • 3.2 – Fault Tree Analysis (FTA)
  • 3.3 – Failure Mode and Effects Analysis (FMEA)
  • 3.4. – Reliability Based Design
  • 3.5. – Repairable Systems and Availability

Part 4 Reliability Software

Day 2

Part 5 Case Studies: Reliability Analysis

Part 6: Maintenance Basics

  • 6.1 – Introduction
  • 6.2 – Maintenance Concepts

Part 7 Preventive maintenance

  • 7.1 – Time-based Preventive Maintenance
  • 7.2 – Inspection Optimization
  • 7.3 – Spare Parts Management

Part 8 Condition Based Maintenance (CBM)

  • 8.1 – Predictive Maintenance Program
  • 8.2 – Condition Monitoring, Diagnostics and Prognostics
  • 8.3 – CBM optimization

Part 9 Maintenance Software

Part 10 Case Studies and Physical Asset Management

Unique Features of the Course

This course provides a comprehensive introduction to reliability engineering, maintenance optimization, and engineering asset management. It includes case studies and demonstrations of related software packages. Group discussions will be conducted.

Target Audience

This course is intended for a broad range of audience, including engineers, technicians, and managers whose work is related to reliability analysis, quality assurance, and maintenance and asset management. Audiences from various industries can benefit from this course, including oil and gas, mining, power, manufacturing, telecommunications, renewable energy, etc.

Presenter

Dr. Zhigang (Will) Tian, P.Eng.,

Associate Professor, Department of Mechanical Engineering, University of Alberta

Dr. Zhigang (Will) Tian is currently an Associate Professor in the Department of Mechanical Engineering, University of Alberta, Edmonton, Canada. He has more than 15 years experience in teaching, research, and development in the areas of reliability engineering, maintenance optimization, and engineering asset management. He received the 2011 Petro-Canada Young Innovator Award. He is a Fellow of the International Society of Engineering Asset Management (ISEAM). Dr. Tian has worked with many industry partners and government agencies on projects in the field of reliability, maintenance, and asset management. These projects are in collaboration with companies from various industries, such as aerospace, manufacturing, renewable energy, biotechnology, etc. Dr. Tian has developed software tools for component reliability analysis, preventive maintenance optimization, and predictive data analytics. Dr. Tian has published more than 80 articles in refereed journals, conference proceedings and edited books.



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