Applied Reliability Analysis Course
Purchase Options

Enroll in Individual Modules
The full Applied Reliability Analysis with Reliasoft course has eleven modules.
You now have the option to buy only the modules you want instead of the full course. Are you only interested in Accelerated Life Testing? Perfect. Enroll in Module 8: Accelerated Life Testing.
Select a module below and get started learning that specific topic.
ARA Module 1 – Reliability Concepts and Data
In this introductory module, we define Reliability and cover many important reliability concepts. We discuss why reliability performance is so important and the types of questions that may be answered by analyzing failure data.
ARA Module 2 – Probability & Reliability Statistics
In preparation for the reliability methods and tools to follow, this module covers many of the fundamental building blocks. Since Reliability is a probability, we review some essential probability ideas and rules.
ARA Module 3 – Assessing & Selecting Models
Module 3 focuses on how we determine appropriate models for describing the time-to-failure data. We introduce Probability plots and goodness-of-fit statistics that assist in determining which distributions may provide a good fit to the data.
ARA Module 4 – Estimation of Reliability Metrics
This module is the core of life data analysis. We start by providing an overview of the common methods for estimating the distribution parameters (e.g. Maximum Likelihood Estimation) and provide guidance for choosing a method.
ARA Module 5 – Introduction to Reliability of Systems
In Module 5, we extend the estimation of component reliability to the reliability estimation of a system comprised of multiple components. The system reliability depends both on the component reliabilities as well as their configuration.
ARA Module 6 – Analysis of Field Data — Warranty Forecasting
The models developed to analyze time-to-failure data may be used to develop forecasts of the number of failures that may be expected over time. In this module, we learn how to use conditional failure probability to predict the number of failures during the forecast period.
ARA Module 7 – Reliability Test Planning
In this module, we look at planning for both reliability estimation tests and reliability demonstration tests. Essentially, we must test enough units for long enough to be able to adequately estimate reliability or demonstrate that targets are met.
ARA Module 8 – Accelerated Life Testing
This module covers the planning and analysis of Accelerated Life Tests (ALT). ALT is a useful methodology for obtaining failure information in less time than it takes for tests performed at normal use conditions.
ARA Module 9 – Stress Strength Analysis
This module introduces a method of quantifying risk by calculating failure probabilities based on a characterization of a stress distribution and a strength distribution. A failure occurs when a unit randomly encounters a stress that exceeds its inherent strength.
ARA Module 10 – Analysis of Binary Response Data
This module covers modeling for summarized data resulting from pass/fail (binary) assessments. That is, the unit either fails or doesn’t fail when exposed to some stress for a specified period of time. In these problems similar methods are used, but often the probability of survival or failure is estimated as a function of stress level rather than time.
ARA Module 11 – Repairable Systems Analysis
Repairable systems analysis is concerned with understanding and modeling the time between failures (over time). The terminology and models are different than the non-repairable case.

Enroll a Group
Have a team intested in the full course or a specific module? Contact us for details concerning group discounts and payment options.
Email Steven Wachs
The more students in the group, the larger the discount. See the discount details below.
Payment options include purchase order, credit card, or other agreed upon method.
Discount Schedule
Save 10% | Save 20% | Save 25% | Save 30% |
---|---|---|---|
2 – 4 Participants | 5 – 9 Participants | 10 – 14 Participants | 15 – 20 Participants |
Offline instructor support | Offline instructor support | Offline instructor support | Offline instructor support |
Plus, 2-HOUR conference call with instructor | Plus, 2-HOUR conference call with instructor | Plus, 3-HOUR conference call with instructor |