| Autor: |
Pattada Kallappa, Michael DeChristopher, P.W. Kalgren, Carl S. Byington, Sanket Amin |
| Rok vydání: |
2005 |
| Předmět: |
|
| Zdroj: |
Volume 4: Turbo Expo 2005. |
| DOI: |
10.1115/gt2005-68516 |
| Popis: |
This paper investigates the feasibility of using contact and non-contact sensors to develop an ultra high frequency (UHF) vibration monitoring system for prognostics/diagnostics of turbine engine bearings. The authors have developed ImpactEnergy™, a feature extraction and analysis driven system that integrates high frequency vibration/acoustic emission data, collected using accelerometers and a laser interferometer to assess the health of bearings and gearboxes in turbine engines. ImpactEnergy™ combines advanced diagnostic features derived from waveform analysis, high-frequency enveloping, and more traditional time domain processing like root mean square (RMS) and kurtosis with classification techniques to provide bearing health information. The intelligent UHF concepts based system (System) presented in this paper is tested and validated in a laboratory environment by monitoring multiple bearings on test rigs that replicate the operational loads of a turbomachinery environment. The UHF system is also applied to data collected on test rigs at original equipment manufacturer (OEM) locations.Copyright © 2005 by ASME |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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