Scholarly Works

Combining Partial Least Squares and Feed Forward...

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)

Associated Experts

Barna Szabados

Professor Emeritus, Faculty of Engineering

Labels

Fields of Research (FoR)

46 Information and Computing Sciences 40 Engineering 4010 Engineering Practice and Education

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