DocumentCode
3534708
Title
Neural morphing and intrinsic health monitoring system for preemptive maintenance
Author
Morrelly, C. Kenneth
Author_Institution
Dayton T. Brown Inc., Bohemia, NY, USA
fYear
1995
fDate
34976
Firstpage
42370
Lastpage
110
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;
fLanguage
English
Publisher
iet
Conference_Titel
Advanced Condition Monitoring Systems for Railways, IEE Colloquium on
Conference_Location
London
Type
conf
DOI
10.1049/ic:19950982
Filename
496204
Link To Document