Title :
Neural morphing and intrinsic health monitoring system for preemptive maintenance
Author :
Morrelly, C. Kenneth
Author_Institution :
Dayton T. Brown Inc., Bohemia, NY, USA
Abstract :
The mission in support of quality industrial processes and in fielding efficient industrial systems is to design and maintain those systems in the most cost effective way. Here, the author focuses on the next generation of technology related tools which will be used to improve the reliability and maintainability of future electric railway systems
Keywords :
computerised monitoring; machine testing; maintenance engineering; motor drives; neural nets; power engineering computing; railways; reliability; design; electric railway; intrinsic health monitoring system; maintainability; neural morphing; preemptive maintenance; reliability;
Conference_Titel :
Advanced Condition Monitoring Systems for Railways, IEE Colloquium on
Conference_Location :
London
DOI :
10.1049/ic:19950982
