Reliability Data for Military Vehicle Systems
DRA contract LSF/E20173. Sept 1996 - February 1999.
Funding to CSR, City University: £160,000
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.
Objectives:
- 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.
Partners: none
CSR Personnel: Professor Littlewood, Professor Fenton, Dr. Neil, Professor Strigini, Mr. Forey.
For further information on the above project, contact: Professor Norman Fenton: norman@dcs.qmw.ac.uk