|
Track 2 Session 5
9:10 to 10:10 a.m. Thursday March 26, 2009
Operational Reliability: How Well Do You Know the Behaviour of
Your Product/System?
This presentation shows how data mining, neural networks and
fuzzy logic can be integrated into maintenance activities in order to generate and manage
knowledge with respect to equipment/system behaviour in relation to its operating conditions.
It demonstrates how this knowledge has proven invaluable to achieve improvements in system
operational reliability and availability by: 1) providing design engineers with additional
knowledge for future equipment design and at the testing and validation stages of development;
and 2) providing maintenance engineers with the knowledge and ability to predict
"normal"
system behaviour in different operating environments, and therefore design diagnostic tools
to detect any deviation from such behaviour. A case example is presented in which it is
demonstrated how data mining and intelligent diagnostic techniques have brought benefits
to the maintenance of a high-speed (250km/h) train fleet based in Madrid and subsequent
improvements to in-service reliability.
Key Words: Reliability-Centred Maintenance, Knowledge Creation and
Management, Condition Monitoring, System Diagnostics, Operational Reliability and
Availability, Predictive Maintenance, Proactive Maintenance, Data Mining
Tim Smith
NEM Solutions
Spain |
