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Home » Courses » Applied Reliability Analysis

by Steven Wachs 4 Comments

Applied Reliability Analysis

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Not Enrolled
Price
$1,099
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Applied Reliability Analysis Course

Using Reliasoft Weibull++

A little background, motivation, course overview, and a welcome from the instructor, Steven Wachs

The seminar was great, as usual. The books are excellent resources when I am back on the job.

— D.J. Gray Intier Automotive

Get started with the Applied Reliability Analysis course today

This course has 11 modules, 69 lessons, and approximately 32 hours of material, examples, and exercises. Steven is available to answer your questions and discuss course topics. Once purchased, you have full access for six months. The course is on-demand, so you can engage with the course in a way that fits your schedule and interests.

The course format is voice-over slides along with a ‘live’ view of Steven showing how to use Weibull++ with examples and when reviewing exercise solutions.

The course includes the recorded presentations, a Participant Guide (copies of the slides), a Supplemental Textbook, and a Reliasoft file that includes the datasets for examples and exercises. You can download the guide, textbook, and Reliasoft files in the third lesson of the Course Introduction module. You may also view the guide and textbook within that lesson online.

The course does include some statistical background and theory, yet the emphasis is on applying reliability analysis methods using Reliasoft Weibull++. We will examine the data setup, analysis, and interpretation.

Steve Wachs was a wonderful instructor.

Gwen Case, Schrader-Bridgeport Int’l Inc.

Enroll in the Applied Reliability Analysis course

If you would like to enroll in just one or a few modules, or you have a team or group all ready to enroll in the course, please visit the course purchase options page for details.

If you have already signed up for the course, login and enjoy.




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Training Objectives

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
  • Use and interpret probability plots for distribution fitting
  • Understand reliability metrics and how to estimate and report them
  • Handle multiple failure modes in reliability estimation
  • Utilize degradation Data and models to predict failure times for life data analysis
  • Use nonparametric estimation methods when appropriate
  • Determine if reliability specifications are met (at specified confidence level) or whether design improvements are required
  • Estimate estimate uncertainty using confidence intervals and bounds
  • Estimate reliability of subsystems and systems
  • Handle basic series and parallel systems
  • Become aware of system reliability activities such as Reliability Block diagramming, Reliability importance, and Reliability allocation
  • Develop competency in the planning of reliability tests (sample sizes)
  • Use simulation to support estimation test planning
  • Develop reliability demonstration test plans (testing time vs. number of units tradeoffs)
  • Analyze existing warranty data to predict future returns
  • Analyze data from Accelerated Life Tests to estimate reliability at normal use conditions (single stress, multiple stress, time-varying stress models)
  • Plan Accelerated Life tests (sample sizes, determination of test stress combinations, allocation of units to stress levels)
  • Incorporate degradation data modeling into Accelerated Life Test analysis
  • Perform stress-strength analysis using analytical methods, software, and simulation
  • Model reliability from binary response data (i.e. pass/fail)
  • Analyze repair data from repairable systems to predict the number of failures over time, conditional reliability, and failure rates
  • Develop proficiency in the use of Reliasoft Weibull++ for Reliability analyses

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.

 

Thorough knowledge of subject matter and ability to communicate it – exceptional instructor.

— Steve Fleishman, Magna Powertrain


Why is This Course Important?

Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition.  Poor reliability can doom a product and jeopardize the reputation of a brand or company.  Inadequate online reliability training courses also present financial risks from warranty, product recalls, and potential litigation.  When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met.  This presents a difficult challenge in many industries with short product cycles and compressed product development timeframes.  This course provides an in-depth treatment of quantitative methods for predicting and demonstrating product reliability from data gathered from physical testing or from field data.

Typical Attendees

  • Product Engineers
  • Design Engineers
  • Quality Engineers
  • Reliability Engineering Training
  • Project / Program Managers
  • Manufacturing Personnel
  • Six Sigma Professionals
Enroll in the Applied Reliability Analysis course

If you would like to enroll in just one or few modules, or you have a team or group all ready to enroll in the course, please visit the course purchase options page for details.

Steve is an excellent instructor who is very good on a dry topic. His application ability is great.

Bruce Schubert, BAE Systems

Course Content

Expand All
Course Introduction 3 Lessons
Expand
Module Content
0% Complete 0/3 Steps
Course Navigation
Contact Information
Course slides, textbook, and Reliasoft file
Module 1: Reliability Concepts and Reliability Data 6 Lessons
Expand
Module Content
0% Complete 0/6 Steps
Lesson 1 – Why Reliability and Typical Questions
Lesson 2 – Defining Reliability
Lesson 3 – Types of Reliability Data and Unique Aspects
Lesson 4 – Censored Data
Lesson 5 – The Bathtub Curve and Reliability Function
Lesson 6 – Establishing Product Reliability Goals
Module 2: Probability & Reliability Statistics 7 Lessons
Expand
Module Content
0% Complete 0/7 Steps
Lesson 1 – Probability Basics
Lesson 2 – Conditional Probability, Independent Events, & Exercises
Lesson 3 – Reliability Metrics/Statistics
Lesson 4 – Common Distributions / Weibull Distribution
Lesson 5 – Conditional Reliability & Exercise
Lesson 6 – Review Exercises
Lesson 7 – Useful Discrete Distributions & Exercise
Module 3: Assessing & Selecting Models 7 Lessons
Expand
Module Content
0% Complete 0/7 Steps
Lesson 1 – Overview of Distribution Fitting & Reliability Estimation
Lesson 2 – Probability Plots & Reliasoft Demonstration
Lesson 3 – Constructing Probability Plots
Lesson 4 – Distribution Fitting with Right-Censored Data
Lesson 5 – Exercises
Lesson 6 – Distribution Fitting with Multiple Failure Modes
Lesson 7 – Exercise and Module Wrap-Up
Module 4: Estimation of Reliability Metrics 11 Lessons
Expand
Module Content
0% Complete 0/11 Steps
Lesson 1 – Overview of Reliability Estimation and Methods
Lesson 2 – Confidence Intervals & Bounds
Lesson 3 – Using Reliasoft to Estimate Reliability Metrics (Demo)
Lesson 4 – Exercise
Lesson 5 – Reliability Estimation with Censored Data
Lesson 6 – Comparing Multiple Groups
Lesson 7 – Exercises
Lesson 8 – Handling Multiple Failure Modes & Exercise
Lesson 9 – Nonparametric Estimation
Lesson 10 – Using Degradation Data
Lesson 11 – Other Methods for Reliability Prediction
Module 5: Introduction to Reliability of Systems 6 Lessons
Expand
Module Content
0% Complete 0/6 Steps
Lesson 1 – System Reliability Overview & Basic Series Systems
Lesson 2 – Basic Parallel Systems & Short Exercise
Lesson 3 – k-out-of-n Parallel Systems & Combination Systems
Lesson 4 – Exercises
Lesson 5 – Complex Systems
Lesson 6 – Reliability Importance, Reliability Allocation & Other Concepts
Module 6: Analysis of Field Data — Warranty Forecasting 4 Lessons
Expand
Module Content
0% Complete 0/4 Steps
Lesson 1 – Warranty Analysis Overview and Key Concepts
Lesson 2 – Data Setup & Calculations
Lesson 3 – Reliasoft Demonstration
Lesson 4 – Exercise
Module 7: Reliability Test Planning 7 Lessons
Expand
Module Content
0% Complete 0/7 Steps
Lesson 1 – Reliability Testing Ideas
Lesson 2 – Reliability Test Planning & Censoring Schemes
Lesson 3 – Reliability Estimation Test Planning
Lesson 4 – Exercise & Simulation in Reliasoft
Lesson 5 – Reliability Demonstration Test Planning
Lesson 6 – Exercise
Lesson 7 – Zero Failure Test Plans Special Case & Module Wrap-Up
Module 8: Accelerated Life Testing 9 Lessons
Expand
Module Content
0% Complete 0/9 Steps
Lesson 1 – Introduction to Accelerated Life Testing (ALT)
Lesson 2 – Accelerated Life Test Models (Single Stress)
Lesson 3 – Analysis Steps and Example
Lesson 4 – Exercises
Lesson 5 – Two-stress and Multiple Stress ALT Models
Lesson 6 – Time-Varying Stress Tests (Overview)
Lesson 7 – Accelerated Degradation/ALT Modeling
Lesson 8 – Accelerated Life Test Pitfalls
Lesson 9 – Planning Accelerated Life Tests
Module 9: Stress Strength Analysis 4 Lessons
Expand
Module Content
0% Complete 0/4 Steps
Lesson 1 – Introduction to Stress-Strength Analysis
Lesson 2 – Calculations with Normal Distributions
Lesson 3 – Example with Normal Distributions
Lesson 4 – Handling Non-Normal Data / Practical Considerations
Module 10: Analysis of Binary Response Data 3 Lessons
Expand
Module Content
0% Complete 0/3 Steps
Lesson 1 – Introduction to Binary Response Data
Lesson 2 – Examples in Reliasoft
Lesson 3 – Exercise
Module 11: Repairable Systems Analysis 5 Lessons
Expand
Module Content
0% Complete 0/5 Steps
Lesson 1 – Introduction to Repairable Systems Analysis
Lesson 2 – Parametric Models
Lesson 3 – Recurrent Data Analysis in Reliasoft
Lesson 4 – Example and Exercises
Lesson 5 – Maintainability & Availability

About Steven Wachs

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.

Comments

  1. Vladimir Todorov says

    June 12, 2024 at 5:18 AM

    Marked by mistake that Module 2 is completed, now can’t go back to it and access the Lessons

    Reply
    • Steven Wachs says

      June 12, 2024 at 5:24 AM

      Vladimir,
      I’m sorry about this trouble. Fred Schenkelberg should be able to correct this. He’s on US Pacific time zone so should see this in a few hours. Best, Steve

      Reply
  2. Vladimir Todorov says

    June 12, 2024 at 5:36 AM

    Thanks!

    Reply
    • Fred Schenkelberg says

      June 12, 2024 at 8:35 AM

      Thanks for letting us know Vlad. You should be able to view lessons within a module that is marked complete – the issue this morning is the lessons were not associated with the course anymore, thus not available to view. I’m working on restoring the associations and starting an investigation on what happened to cause the problem.

      Please do let us know if you notice any issues –

      cheers,

      Fred

      Reply

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Navigation

Course Home Expand All
Course Introduction
3 Lessons
Course Navigation
Contact Information
Course slides, textbook, and Reliasoft file
Module 1: Reliability Concepts and Reliability Data
6 Lessons
Lesson 1 – Why Reliability and Typical Questions
Lesson 2 – Defining Reliability
Lesson 3 – Types of Reliability Data and Unique Aspects
Lesson 4 – Censored Data
Lesson 5 – The Bathtub Curve and Reliability Function
Lesson 6 – Establishing Product Reliability Goals
Module 2: Probability & Reliability Statistics
7 Lessons
Lesson 1 – Probability Basics
Lesson 2 – Conditional Probability, Independent Events, & Exercises
Lesson 3 – Reliability Metrics/Statistics
Lesson 4 – Common Distributions / Weibull Distribution
Lesson 5 – Conditional Reliability & Exercise
Lesson 6 – Review Exercises
Lesson 7 – Useful Discrete Distributions & Exercise
Module 3: Assessing & Selecting Models
7 Lessons
Lesson 1 – Overview of Distribution Fitting & Reliability Estimation
Lesson 2 – Probability Plots & Reliasoft Demonstration
Lesson 3 – Constructing Probability Plots
Lesson 4 – Distribution Fitting with Right-Censored Data
Lesson 5 – Exercises
Lesson 6 – Distribution Fitting with Multiple Failure Modes
Lesson 7 – Exercise and Module Wrap-Up
Module 4: Estimation of Reliability Metrics
11 Lessons
Lesson 1 – Overview of Reliability Estimation and Methods
Lesson 2 – Confidence Intervals & Bounds
Lesson 3 – Using Reliasoft to Estimate Reliability Metrics (Demo)
Lesson 4 – Exercise
Lesson 5 – Reliability Estimation with Censored Data
Lesson 6 – Comparing Multiple Groups
Lesson 7 – Exercises
Lesson 8 – Handling Multiple Failure Modes & Exercise
Lesson 9 – Nonparametric Estimation
Lesson 10 – Using Degradation Data
Lesson 11 – Other Methods for Reliability Prediction
Module 5: Introduction to Reliability of Systems
6 Lessons
Lesson 1 – System Reliability Overview & Basic Series Systems
Lesson 2 – Basic Parallel Systems & Short Exercise
Lesson 3 – k-out-of-n Parallel Systems & Combination Systems
Lesson 4 – Exercises
Lesson 5 – Complex Systems
Lesson 6 – Reliability Importance, Reliability Allocation & Other Concepts
Module 6: Analysis of Field Data — Warranty Forecasting
4 Lessons
Lesson 1 – Warranty Analysis Overview and Key Concepts
Lesson 2 – Data Setup & Calculations
Lesson 3 – Reliasoft Demonstration
Lesson 4 – Exercise
Module 7: Reliability Test Planning
7 Lessons
Lesson 1 – Reliability Testing Ideas
Lesson 2 – Reliability Test Planning & Censoring Schemes
Lesson 3 – Reliability Estimation Test Planning
Lesson 4 – Exercise & Simulation in Reliasoft
Lesson 5 – Reliability Demonstration Test Planning
Lesson 6 – Exercise
Lesson 7 – Zero Failure Test Plans Special Case & Module Wrap-Up
Module 8: Accelerated Life Testing
9 Lessons
Lesson 1 – Introduction to Accelerated Life Testing (ALT)
Lesson 2 – Accelerated Life Test Models (Single Stress)
Lesson 3 – Analysis Steps and Example
Lesson 4 – Exercises
Lesson 5 – Two-stress and Multiple Stress ALT Models
Lesson 6 – Time-Varying Stress Tests (Overview)
Lesson 7 – Accelerated Degradation/ALT Modeling
Lesson 8 – Accelerated Life Test Pitfalls
Lesson 9 – Planning Accelerated Life Tests
Module 9: Stress Strength Analysis
4 Lessons
Lesson 1 – Introduction to Stress-Strength Analysis
Lesson 2 – Calculations with Normal Distributions
Lesson 3 – Example with Normal Distributions
Lesson 4 – Handling Non-Normal Data / Practical Considerations
Module 10: Analysis of Binary Response Data
3 Lessons
Lesson 1 – Introduction to Binary Response Data
Lesson 2 – Examples in Reliasoft
Lesson 3 – Exercise
Module 11: Repairable Systems Analysis
5 Lessons
Lesson 1 – Introduction to Repairable Systems Analysis
Lesson 2 – Parametric Models
Lesson 3 – Recurrent Data Analysis in Reliasoft
Lesson 4 – Example and Exercises
Lesson 5 – Maintainability & Availability

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