Application of machine learning to rotorcraft health monitoring /

Bibliographic Details

Main Authors:	Cody, Tyler (Author), Dempsey, Paula J. (Author)
Format:	Government Document eBook
Language:	English
Published:	Cleveland Ohio : National Aeronautics and Space Administration, Glenn Research Center, January 2017.
Series:	NASA technical memorandum ; 2017-219408.
Subjects:	Bayes theorem. Fatigue (materials) Machine learning. Neural nets. Rotary wing aircraft. Time dependence.
Online Access:	https://purl.fdlp.gov/GPO/gpo78192 http://purl.fdlp.gov/GPO/gpo78192