Decision fusion analysis detects spiral bevel gear damage

Author

Dempsey, Paula J. ; Handschuh, Robert F. ; Afjeh, Ahdollah A.

Author_Institution

NASA Glenn Res. Center, Cleveland, OH, USA

Volume

18

Issue

9

fYear

2003

Firstpage

11

Lastpage

17

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.

Keywords

aircraft testing; condition monitoring; decision theory; fatigue testing; helicopters; sensor fusion; vibration measurement; data fusion; decision-making; diagnostic tool; helicopter health monitoring system; oil debris analysis; spiral bevel gear; surface fatigue pitting damage detection; vibration measurement; Decision making; Fatigue; Gears; Monitoring; Performance evaluation; Petroleum; Space technology; Spirals; Testing; Vibration measurement;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems Magazine, IEEE

Publisher

ieee

ISSN

0885-8985

Type

jour

DOI

10.1109/MAES.2003.1232154

Filename

1232154