Reliability, Availability and Maintainability (RAM) | Practitioners

Course Group: 
Reliability, Availability and Maintainability

COURSE OVERVIEW

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.

Who Should Attend

Course Outline

Presenter Background

Dates & Registration

Duration: 3 days

Delivery mode: Classroom

Locations

Advertised: Canberra

In-house: All states and neighbouring countries, contact the  for more information. Recommended for groups of 10 or more.

What you will receive:

Affiliated courses: RAM | Introduction (2 days), RAM | Management (5 days), Introduction to Systems Engineering (3 days) & Systems Engineering Practice (5 days)

*pending final results

 


 

WHO SHOULD ATTEND

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

 


 

COURSE OUTLINE

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

RAM Assurance

Reliability Demonstration Testing (RDT) | Reliability Growth Planning (RGP) | RAM Analysis

Physics of Failure

Failure Mechanisms | Case Studies

 


 

DR CHRIS JACKSON

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.

No dates? Or unable to attend dates shown? Submit an Expression of Interest below to be notified of upcoming courses.

COURSE AVAILABILITY

CANBERRA
19 July 2017 - 21 July 2017