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RS 451
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Introduction to
Quantitative Accelerated
Life Testing |
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Special Course
This is a special course offered through the Reliability Analysis Center (RAC) training program
and taught by ReliaSoft instructors. [See
RAC course outline in PDF]. It is similar to RS
402 but expanded to three days to include some of the required background (as
covered in RS
401),
thus eliminating the RS
401 prerequisite. [See RAC standard courses].
This also serves as the foundation for our follow up, three-day
course on the subject:
Advanced Quantitative Accelerated Life Testing (RS 521). |
Course
Overview
This results-oriented course provides both
an in-depth introduction to the underlying statistical theory and methods
as well as a complete overview and step-by-step guidance on practical
applications of the learned theory using
ReliaSoft's ALTA, a software tool
designed expressly for the analysis of accelerated life test data.
The first half of the course presents the theory and required background
while the latter half concentrates on practical applications. The
practical application portion of the seminar involves exploration and
interactive hands-on learning (using PCs and software) to complement and
enhance the attendee's knowledge in the subject of accelerated life
testing. This integrated presentation of both the underlying
theories and the software will enable the attendee to quickly and easily
apply the learned concepts and the methods in the workplace. |
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Course
Outline
Introduction Background and
Overview
- Overview of reliability
engineering and life data analysis
- Statistical theory and
applications
- Most commonly used distributions
for product life and their applications
- Product life data types and
censoring schemes
- Parameter estimation methods
- Confidence bounds
Accelerated Life Testing Theory
Overview
- Overview of accelerated tests
- Types of accelerated tests
- Accelerated life testing and how
it is applied
- Overview of stress loading
models and analysis
- Applicable life-stress
relationship models and their analyses
A. Arrhenius Relationship
B. Eyring Relationship
C. Inverse Power Relationship
D. Temperature - Humidity Relationship
E. Temperature - NonThermal Relationship
F. Proportional Hazards Model
G. Non-Proportional Hazards Model
H. Cumulative Exposure/Damage Model (Step-Stress)
- Predicting reliabilities,
warranty times and MTTF (MTBF) using accelerated life data
- Looking at accelerated life
plots
A. Probability plots
B. Reliability plots
C. Probability density function plots
D. Life-stress plots
E. Acceleration factor plots
- Confidence bounds on accelerated
life data
- Examples and case studies
Application of Accelerated Life
Data Analysis Theory (Hands-on Using Computers and Software)
- Overview of ALTA
- Applying previously presented
theory utilizing ALTA
A. Entering and analyzing data with different censoring schemes
B. Available statistical distributions and life-stress
relationships
C. Probability plots, creating and using
D. Life-stress plots, creating and using
E. Looking at other plots: pdf, reliability,
failure rate, acceleration factor, etc.
F. Looking at 3D plots, creating and interpreting
G. Using confidence bounds - Illustrating ALTA using real
life examples
- Examples
and case studies
- Hands-on session using
ReliaSoft's ALTA
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Software Usado |
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Resumo |
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Duração |
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3
Dias |
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Pontuação |
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3 |
Disponível
In company? |
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Sim |
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Aberto |
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Sem
Programação |
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Pré-Requisitos |
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Conhecimento Básico em Matemática e
Estatística. |
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Instrutores |
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Staff |
Course descriptions and
content are the copyright of ReliaSoft Corporation.
©1992-2004 |
