Research Catalog

Title

Application of machine learning to rotorcraft health monitoring / Tyler Cody, Paula J. Dempsey.

Author

Cody, Tyler

Publication

Cleveland Ohio : National Aeronautics and Space Administration, Glenn Research Center, January 2017.

Details

Additional Authors

• Dempsey, Paula J.
• NASA Glenn Research Center, issuing body.

Description

1 online resource (14 pages) : color illustrations.

Series Statement

NASA/TM ; 2017-219408

Uniform Title

NASA technical memorandum ; 2017-219408.

Subject

• Bayes theorem
• Fatigue (materials)
• Machine learning
• Neural nets
• Rotary wing aircraft
• Time dependence

Note

• "January 2017."

Bibliography (note)

• Includes bibliographical references (page 14).

Source of Description (note)

• Description based on online resource; title from PDF title page (NASA, viewed June 12, 2017).

Call Number

GPO Internet NAS 1.15:2017-219408

OCLC

marcive989874751

Author

Cody, Tyler, author.

Title

Application of machine learning to rotorcraft health monitoring / Tyler Cody, Paula J. Dempsey.

Publisher

Cleveland Ohio : National Aeronautics and Space Administration, Glenn Research Center, January 2017.

Type of Content

text

Type of Medium

computer

Type of Carrier

online resource

Series

NASA/TM ; 2017-219408

NASA technical memorandum ; 2017-219408.

Bibliography

Includes bibliographical references (page 14).

Connect to:

https://purl.fdlp.gov/GPO/gpo78192

Added Author

Dempsey, Paula J., author.

NASA Glenn Research Center, issuing body.

Gpo Item No.

0830-D (online)

Sudoc No.

NAS 1.15:2017-219408