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Neural Network Would Estimate Fatigue LifeProcessor learns mappings between sequences of loads and fatigue damage. Data processor built around neural network provides real-time estimates of fatigue life of simple mechanical components. Intended to be forerunner of more-advanced processors that estimates remaining lives of components stressed near their mechanical and thermal limits in turbine engines and other complicated, high-performance machinery. Real-time estimates of accumulated fatigue damage and remaining life before mechanical failure useful in scheduling maintenance and controlling operation to extend overall life of machinery.
Document ID
19930000120
Acquisition Source
Legacy CDMS
Document Type
Other - NASA Tech Brief
Authors
Merrill, W.
(NASA Lewis Research Center, Cleveland, OH.)
Troudet, T.
(Sverdrup Technology, Inc.)
Date Acquired
August 16, 2013
Publication Date
March 1, 1993
Publication Information
Publication: NASA Tech Briefs
Volume: 17
Issue: 3
ISSN: 0145-319X
Subject Category
Electronic Systems
Report/Patent Number
LEW-15305
Accession Number
93B10120
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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