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RS 511
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Reliability
Growth, Repairable System Data Analysis and RGA |
Course Overview
This practical course
addresses data analyses for systems under developmental
reliability growth testing and for systems subjected to
operational testing or customer field usage. This results-oriented
course provides both practical information and methods for
planning, assessing and managing a Reliability Growth program.
This course gives an introduction to reliability growth
history and presents empirical data illustrating common
reliability growth patterns, trends, growth rates and effectiveness
factors. The most widely used and practical reliability
growth models for the typical management and data analysis
situations encountered in practical are discussed. These
proven reliability growth methods and models are illustrated
with step-by-step guidance on practical applications using
ReliaSoft's RGA,
a software tool co-developed with
Dr.
Crow and designed expressly for the analysis of reliability
growth and repairable systems data. In addition, the course
provides proven models and methods to analyze system and
fleet reliability for the common situation where the systems
are repaired upon failure (not replaced). The repairable
systems models and applications are illustrated for systems
subjected to operational testing and customer field usage.
The course and ReliaSoft's
RGA software provide
practical solutions based on actual field data input for
warranty analysis, burn-in periods, wear-out rates, mission
reliability as a function of system age, optimum replacement
policies and fleet reliability growth.
The course presents the
theory and required background and also concentrates on
practical applications. The theoretical portion of the course
discusses state-of-the-art methods for planning and evaluating
the reliability of complex systems during three key life
cycle phases: design, development testing, and operational
or customer field use. Areas covered include failure mode
management strategy, the Crow (AMSAA) model, the Extended
model for managing reliability growth in development and
the Power Law model for assessing the reliability of repairable
systems.
The practical application
portion of the course involves exploration and interactive
hands-on learning (using PCs and software) to complement
and enhance the attendee's knowledge of the subject of Reliability
Growth and Repairable System Data Analysis. 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
Reliability
Growth Management and Planning
- Reliability Management Strategy Terms
and Concepts in Design and Testing
- Developing A Program’s Idealized Growth
Curves
- Developing A Program's Planned Growth
Curve
- Estimating the Reliability at the Start
of Growth Testing
- Estimating the System’s Maximum Reliability
or Growth Potential
- Assigning Reliability Growth Fix Effectiveness
Factor in Planning Stage
- Managing Reliability Growth Using Type
A and Type B Failure Mode Methodology
Reliability Growth Analysis, Implementation
and Strategy Management
- Duane Reliability Growth Postulate
- Crow (AMSAA) Reliability Growth Tracking
Model
- Continuous Data (e.g. hours)
- One Shot data (e.g. rounds)
- Grouped data when Failure Times
are not Known
- Intervals With Missing Data
- Crow Extended Model for Projections
on Proposed Future Corrective Actions
- Estimating Reliability Growth Across
Test Phases
- Reliability Growth Confidence Intervals
and Goodness of Fit Tests
- Estimating Reliability Growth Fix Effectiveness
Factors from Data
- Estimating Growth Rates and the System’s
Reliability Growth Potential
- Changing Management Strategy Based on
Data to Attain Requirements and Goals
Repairable System Analysis
- Evaluating the Reliability of Repairable
Systems Using Operational Test Data or Field
Customer Use Data Based on Power Law Model
- Methods For Warranty Analysis for Repairable
Systems
- Optimum Replacement and Overhaul Analysis
Methods for Fielded, Repairable Systems
- Reliability Confidence Intervals for
Fielded, Repairable Systems
- Analyzing the Overall Reliability Trend
for a Fleet of Systems
- Methods to Evaluate The Reliability
Growth for Fielded Systems Based On Proposed
Upgrades, Product Improvements or Corrective
Actions.
Application of Reliability Growth and
Repairable System Theory (Hands-on Using Computers
and Software)
- Overview of the
RGA
software
- Applying previously presented theory
utilizing RGA
- Illustrating RGA using real life examples
- Examples and case studies
- Hands-on session using ReliaSoft's RGA
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Software Used |
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Summary |
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Course Length |
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3
Days |
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CEUs |
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2.1 |
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Prerequisites |
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Basic knowledge of undergraduate mathematics and statistics.
Knowledge of principles covered in
RS 401 is desired but not required.
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Instructor |
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Staff |
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On-Site Available? |
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YES |
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Public Courses |
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Schedule... |
Register via On-Line Store |
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Upcoming RS 511 Seminars
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Untitled Page
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More... |
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