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.
Decision fusion analysis detects spiral bevel gear damage
IEEE Aerospace and Electronic Systems Magazine ; 18 , 9 ; 11-17
2003-09-01
737639 byte
Article (Journal)
Electronic Resource
English
Decision Fusion Analysis Detects Spiral Bevel Gear Damage
Online Contents | 2003
|Spiral Bevel Gear Damage Detection Using Decision Fusion Analysis
British Library Conference Proceedings | 2002
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