Reliability Data for Military Vehicle Systems
Funding to CSR, City University: £160,000
Funding Source: DRA contract LSF/E20173
Duration: September 1996 - February 1999
Summary: To specify and develop a tool which will assist in assessment of procurement bids from companies seeking to build new vehicle systems for the MOD. Assessment is made on the basis of reliability data for individual mechanical components.
- To specify a tool that will improve the accuracy of reliability predictions
- To develop the above tool
Approach: Using Bayesian Belief Network, or BBN technology
Results: This project resulted in a useable tool that will greatly enhance the reliability predictions made at pre-testing stage for the MOD's B-class vehicles.
Impact: Reliability prediction for vehicle systems is of great strategic importance to the MOD. Such work saves both lives and money.
CSR Personnel: Professor Littlewood, Professor Fenton, Dr. Neil, Professor Strigini, Mr. Forey.
For further information on the above project, contact: Professor Norman Fenton: email@example.com
We welcome your feedback, please mail any comments/suggestions to firstname.lastname@example.org
version 2.2 Published: 28th Jun 2004