GLTRS--Glenn
TITLE AND SUBTITLE:
Spiral Bevel Gear Damage Detection Using Decision Fusion Analysis

AUTHOR(S):
Paula J. Dempsey, Robert F. Handschuh, and Abdollah A. Afjeh

REPORT DATE:
August 2002

FUNDING NUMBERS:
WU-728-30-10-00
1L162211A47A

PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES):
National Aeronautics and Space Administration
John H. Glenn Research Center at Lewis Field
Cleveland, Ohio 44135-3191

PERFORMING ORGANIZATION REPORT NUMBER:
E-13356

SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES):
National Aeronautics and Space Administration
Washington, DC 20546-0001
and
U.S. Army Research Laboratory
Adelphi, Maryland 20783-1145

REPORT TYPE AND DATES COVERED:
Technical Memorandum

SPONSORING/MONITORING AGENCY REPORT NUMBER:
NASA TM-2002-211814
ARL-TR-2744

SUPPLEMENTARY NOTES:
Prepared for the Fifth International Conference on Information Fusion sponsored by the International Society of Information Fusion, Annapolis, Maryland, July 8-11, 2002. Paula J. Dempsey, NASA Glenn Research Center; Robert F. Handschuh, U.S. Army Research Laboratory, NASA Glenn Research Center; Abdollah A. Afjeh, University of Toledo, Toledo, Ohio. Responsible person, Paula J. Dempsey, organization code 5950, 216-433-3398.

ABSTRACT:
A diagnostic tool for detecting damage to spiral bevel gears was developed. Two different monitoring technologies, oil debris analysis and vibration, were integrated using data fusion into a health monitoring system for detecting surface fatigue pitting damage on gears. This integrated system showed improved detection and decision-making capabilities as compared to using individual monitoring technologies. This diagnostic tool was evaluated by collecting vibration and oil debris data from fatigue tests performed in the NASA Glenn Spiral Bevel Gear Fatigue Rigs. Data was collected during experiments performed in this test rig when pitting damage occurred. Results show that combining the vibration and oil debris measurement technologies improves the detection of pitting damage on spiral bevel gears.

SUBJECT TERMS:
Gears; Damage detection; Vibration; Wear debris; Data fusion; Fuzzy logic

NUMBER OF PAGES:
13

PDF AVAILABLE FROM URL:
2002/TM-2002-211814.pdf
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