Reliability, Availability and Maintainability (RAM) | Practitioners
The aim of this 3 day course is to teach students how to undertake basic RAM analysis activities. This includes teaching basic mathematical and statistics theory. Key elements of the course include Reliability Demonstration Test (RDT) development, Reliability Growth Planning (RGP), RAM Assurance activities and a review of prevalent Failure Mechanisms. A simulated exercise that reinforces RAM engineering considerations will be applied to real-life materiel system development and assurance. The exercise will include 'investigative' RAM data analysis (such as that to inform a design team charged with improving RAM performance) and 'assurance-based' RAM data analysis (such as a test and evaluation regime imposed by a customer as a gate for acceptance). This exercise will include both individual and group components.
Students can further learn about the relationship between RAM Management activities and organisational objectives in the preceding RAM | Introduction course. These courses combine to create the RAM | Management course.
Duration: 3 days
Delivery mode: Classroom
In-house: All states and neighbouring countries, contact the Professional Education Course Unit for more information. Recommended for groups of 10 or more.
What you will receive:
- Comprehensive course notes
- UNSW Canberra certificate of completion/attendance*
- Morning tea, lunch and afternoon tea
- Masters credit: UNSW Canberra allows students who have successfully completed a minimum of 12 days of approved professional education courses to use those courses as credit in eligible postgraduate programs.
*pending final results
RAM practitioners who need to execute RAM activities in support of overarching programs, including, but not limited to;
|Business managers||Project technical staff|
|Project managers||Systems engineers|
|Capability development staff||Hardware and software engineers|
RAM Mathematics and Statistics
Fundamental RAM mathematics | Introduction to statistics | Key probability distributions | Monte Carlo Simulation
RAM System Modelling and Analysis
Fault trees and Reliability Block Diagrams (RBDs) | Repairable System Analysis | Reliability Growth Modelling
Reliability Demonstration Testing (RDT) | Reliability Growth Planning (RGP) | RAM Analysis
Physics of Failure
Failure Mechanisms | Case Studies
Dr. Jackson received his Ph.D. in Reliability Engineering from the University of Maryland’s Center of Risk and Reliability. He is currently the Acting Director of the Center of Reliabiltiy and Resilience Engineering at the University of California, Los Angeles. He has had an extensive career as a Senior Reliability Engineer in the Australian Defence Force, and is the Director of Acuitas Reliability Pty Ltd. He has supported many complex and material systems developed their reliability performance, and assisted in providing reliability management frameworks that support business outcomes. He has also led initiatives in complementary fields such as systems engineering and performance based management frameworks (PBMFs). He is currently investigating new research concepts that include machine learning informed reliability engineering, dynamic Bayesian belief networks (DBBNs) and organizational value decision making.
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