Introduction to the Course
A little background and motivation for the material in this course.
- Instructor Introduction / Background
- Course Format / Materials / Software
- Reliability Analysis Methods
- M01 Reliability Concepts & Data
- 01 Why Reliability & Typical Questions
- 02 Defining Reliability
- 03 Type of Reliability Data & Unique Aspects
- 04 Censored Data
- 05 The Bathtub Curve & Reliability Function
- M02 Probability & Reliability Statistics
- 01 Probability Basics
- 02 Conditional Probability, Independent Events, & Exercise
- 03 Reliability Metrics & Statistics
- 04 Common Distributions & Weibull Distribution
- 05 Conditional Reliability & Exercise
- 06 Review Exercises
- 07 Useful Discrete Distributions & Exercise
- M03 Assessing & Selecting Models for Time-to-Failure Data
- 01 Overview of Distribution Fitting & Reliability
- 02 Probability Plots & Minitab Demonstration
- 03 Constructing Probability Plots
- 04 Distribution Fitting with Right-Censored Data
- 05 Exercises
- 06 Distribution Fitting with Multiple Failure Modes
- 07 Exercise and Module Wrap-up
- M04 Estimation of Reliability Metrics
- 01 Overview of Reliability Estimation & Methods
- 02 Confidence Intervals & Bounds
- 03 Using Minitab to Estimate Reliability Metrics (Demo)
- 04 Exercise
- 05 Reliability Estimation with Censored Data
- 06 Comparing Multiple Groups
- 07 Exercises
- 08 Handling Multiple Failure Modes & Exercise
- 09 Non-Parametric Estimation
- 10 Other Methods for Reliability Prediction
- M05 Introduction to System Reliability
- 01 System Reliability Overview & Basic Series Systems
- 02 Basic Parallel Systems & Short Exercise
- 03 k-out-of-n Parallel Systems & Combination Systems
- 04 Exercises
- 05 Complex Systems
- 06 Reliability Importance, Reliability Allocation, & other Concepts
- M06 Reliability Test Planning
- 01 Reliability Testing Ideas
- 02 Reliability Test Planning & Censoring Schemes
- 03 Reliability Estimation Test Planning
- 04 Exercises
- 05 Reliability Demonstration Test Planning
- 06 Exercise
- 07 Zero Failure Test Plans Special Case & Module Wrap-up
- M07 Analysis of Warranty Data
- 01 Warranty Analysis Overview & Key Concepts
- 02 Data Setup & Calculations
- 03 Minitab Demonstration
- 04 Exercise
- M08 Design for Reliability (DFR)
- 01 Design for Reliability (DFR) Overview
- 02 DFR Process & Methodology Overview
- M09 Introduction to Advanced Topics
- 01 Types of Accelerated Life Testing (ALT)
- 02 Introduction to Quantitative ALT
- 03 Introduction to Repairable System Analysis
- 04 Stress-Strength Analysis
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The key training objectives are summarized below:
- Understand reliability concepts and unique aspects of reliability data
- Understand underlying probability and statistical concepts for reliability analysis
- Develop competency in the modeling and analysis of time-to-failure data
- Understand reliability metrics and how to estimate and report them
- Handle Multiple Failure Modes
- Estimate reliability of subsystems and systems
- Become aware of system reliability activities such as Reliability Block diagramming, Reliability importance, and Reliability allocation
- Determine if reliability specifications are met (at specified confidence level) or whether design improvements are required
- Develop competency in the planning of reliability tests (sample sizes)
- Develop reliability demonstration test plans (testing time vs. number of units tradeoffs)
- Analyze existing warranty data to predict future returns
Steven Wachs, Course Instructor
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Steve regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
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Master Reliability Analysis Methods starting today.
Your On-demand Course with Instructor Support
Immediate access to all course lessons discussing concepts, reviewing procedures and flushing out context and applicability.
Plus, I’m here to support you upon request.
Lessons include text, video lectures, quick quizzes, exercises, and activities. The intent is to encourage you to immediately apply the lessons within your organization such that you can start improving process stability and quality.
How Long Will the Course Take?
This will depend on how many video lectures you view and how many of the sample exam problems you attempt. The course contains 9 modules, with a total of 52 lessons including 10 exercises. There are approximately 16 hours of lectures.
It is recommended that beyond the lectures, you plan on another 10 to 20 hours for reading and working the exercises. Plus, you are encouraged to ‘try this at work/home’ too.
You can always revisit a lesson or check a detail in the supporting student text.
What are the course prerequisites?
An interest in reliability analysis methods Or, more accurately, an interest in understanding how to analyze life data for your prototypes, products, or systems.
Familiarity with basic statistical concepts is not necessary for this course.
What is your return policy?
If you are not satisfied with the content, send me an email within 30 days for a full refund.