会议论文详细信息
22nd International Conference on Spectral Line Shapes | |
Turbine engine rotor blade fault diagnostics through casing pressure and vibration sensors | |
Cox, J.^1 ; Anusonti-Inthra, P.^1 | |
University of Tennessee, Space Institute, 411 B H Goethert Pkwy, Tullahoma | |
TN | |
37388, United States^1 | |
关键词: Accurate measurement; Casing pressure; Engine rotor blades; Fault diagnostics; Frequency domains; Sideband signals; Statistical evaluation; Vibration sensors; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/548/1/012066/pdf DOI : 10.1088/1742-6596/548/1/012066 |
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来源: IOP | |
【 摘 要 】
In this study, an exact solution is provided for a previously indeterminate equation used for rotor blade fault diagnostics. The method estimates rotor blade natural frequency through turbine engine casing pressure and vibration sensors. The equation requires accurate measurements of low-amplitude sideband signals in the frequency domain. With this in mind, statistical evaluation was also completed with the goal of determining the effect of sampling time and frequency on sideband resolution in the frequency domain.
【 预 览 】
Files | Size | Format | View |
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Turbine engine rotor blade fault diagnostics through casing pressure and vibration sensors | 937KB | download |