基于机匣应变信号的航空发动机转静碰摩部位识别

doi:10.7527/S1000-6893.2013.0080

Abstract

Abstract:

In order to effectively identify aero-engine rotor-stator rubbing positions, an identification method based on casing strain signals is proposed. Two experiment projects are proposed and compared. One is to paste the strain foils along the casing axial direction, the other is to paste them along the casing circumference. A rotor experiment rig of an aero-engine is used to simulate rubbing faults of different radial rubbing positions. The casing strain signals of the rotor experiment rig of the aero-engine is collected and the strain mean features of the two experiment projects are extracted, which are then input into a support vector machine to identify the different rubbing positions. The results show that the strain mean features based on the experiment project which paste strain foils along the casing circumference can effectively identify the rotor-stator rubbing positions of the aero-engine, and the recognition can reach 100%. But the strain mean features based on the project which paste strain foils along the casing axial direction has a lower recognition rate.

Key words: aero-engine, rubbing position identification, mean feature, casing strain, support vector machines

CLC Number:

YU Mingyue, CHEN Guo, LIU Yongquan, JIANG Guangyi, LI Chenggang, FENG Guoquan, WANG Deyou. Aero-engine Rotor-stator Rubbing Position Identification Based on Casing Strain Signals[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(6): 1474-1484.

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Aero-engine Rotor-stator Rubbing Position Identification Based on Casing Strain Signals

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