Conference
Combining Partial Least Squares and Feed Forward Neural Network Technologies in a Fault Detection System with large number of Correlated Sensors
Abstract
The paper describes the issues that have to be dealt with by Failure Detection Systems that process a large number of highly correlated signals. As an example of such system, a Failure Detection System responsible for detecting flow restrictions in liquid cooled stator windings of electric power generators is studied. Field data is presented
Authors
Fischer D; Szabados B; Poehlman S
Volume
1
Pagination
pp. 829-834
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2002
DOI
10.1109/imtc.2002.1006949
Name of conference
IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276)