Core Tutorials

Taught by seasoned reliability professionals, these core concept tutorials are the backbone of the RAMS education. Attendance at 5 will earn you the first level of RAMS Tutorial Certification.

An Introduction to Probability Models in Reliability and Maintainability

Session: 1A, Monday 8:00-12:15
Core Tutor: C. Richard Cassady, Ph.D.

The purpose of this tutorial is to provide attendees with basic coverage of the traditional, fundamental probability models used to describe, improve, and optimize system reliability and maintainability. This coverage requires the discussion of some basic concepts from probability and distribution theory. No specific models are endorsed. Instead, emphasis is placed on identifying the key assumptions associated with each model. More…

Introduction to RAM Management (Reliability from Design Inception to Product Retirement)

Session: 4A, Monday 15:45-17:45
Core Tutor: Duane L. Dietrich, Ph.D.

In this presentation a product is followed from design inception to product retirement. The appropriate location and use of (1) Over Stress Tests, (2) Design Reviews, (3) FMEA, (4) Reliability System Analysis, (5) Accelerated Life Tests, (6) Real Time Life Tests, (7) Reliability Growth Tests, (8) Burn-In, (9) Environmental Stress Screens and (10) Statistical Process Control are discussed. Finally, field failures and the steps necessary to insure that the resulting engineering change orders yield improved reliability are covered. This paper is based primarily on the observation and experience of the author which was gained during a 40-year career in reliability and quality. More…

Introduction to Life Data Analysis

Session: 5A, Tuesday 8:00-12:15
Core Tutors: Caroline Lubert, Ph.D., and Clifford Lange, Ph.D.

The application of statistical analysis to reliability, maintainability, and supportability data offers huge potential to producer and consumer alike in terms of accurate prediction of system performance measures such as availability and cost effectiveness. In addition quantitative analysis of a system is an objective means to evaluate alternative prospective designs and to measure system behavior against prescribed figures of merit. More…

Introduction to Fault Tree Analysis

Session: 7A, Tuesday 13:50-15:30
Core Tutor: John Andrews, Ph.D.

A fault tree represents the causes of a specified system failure mode in terms of the failure modes of the system components. The analysis of the fault tree can produce two types of result: qualitative and quantitative. Qualitative results specify the minimal contributions of component failures which result in system failure. Quantification provides the probability or frequency of the system failure modes. More…

Fundamentals of Failure Modes and Effects Analysis

Session: 8A, Tuesday, 15:45-17:45
Core Tutor: John B. Bowles, Ph.D.

Failure Modes and Effects Analysis (FMEA) is potentially one of the most beneficial and productive tasks in a well structured reliability program. It has evolved from a safety analysis, usually done after the design was complete, into a powerful design tool that can be used throughout the development process to enhance product safety and reliability. A FMEA consists of examining the modes and causes of potential item failures and determining the product response to the failure. Steps can then be taken to change the design to eliminate the failure, mitigate its effects, or develop compensating provisions if the failure should occur. FMEA can be applied to hardware, software, material, and process related causes of failure. More…