DocumentCode
289787
Title
Neural networks and fault diagnosis in rotating machinery
Author
Priddy, Kevin L. ; Lothers, Michael D. ; Saeks, Richard E.
Author_Institution
Accurate Autom. Corp., Chattanooga, TN, USA
fYear
1993
fDate
17-20 Oct 1993
Firstpage
640
Abstract
A series of experiments in which neural networks are used to detect and classify faults in rotating machinery are described. Specific experimental testbeds included a helicopter tail rotor gearbox, fire pumps and condensation pumps
Keywords
accelerometers; aircraft testing; automatic testing; fault diagnosis; helicopters; machine testing; neural nets; pumps; test facilities; condensation pumps; experimental testbeds; fault diagnosis; fire pumps; helicopter tail rotor gearbox; neural networks; rotating machinery; Accelerometers; Aerospace testing; Electronic equipment testing; Fault diagnosis; Fires; Intelligent networks; Machinery; Neural networks; System testing; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location
Le Touquet
Print_ISBN
0-7803-0911-1
Type
conf
DOI
10.1109/ICSMC.1993.384947
Filename
384947
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