Research on Sensor Data Validation in Aeroengine Vibration Tests

Author

Ai Yanting ; Sun Xiaoqian ; Zhang Cheng ; Wang Boping

Author_Institution

Liaoning Key Lab. of Digital Technol. Simulation & Test Tech., Shenyang Inst. of Aeronaut. Eng., Shenyang, China

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

162

Lastpage

166

Abstract

Based on AR model and Empirical Mode Decomposition (EMD), a kind of sensor data validation method for aero-engine vibration test is proposed in this paper. The method firstly produces the remnant vector between the normal and abnormal data, and then realizes the validation of the sensor´s output signals by analyzing. The method can also diagnose the sensor´s faults, get rid of the fault components and reconstruct the valid signals. The results prove that this sensor data validation method is accurate and effective, and it is of good value in field.

Keywords

aerospace engines; aerospace testing; dynamic testing; aeroengine vibration tests; empirical mode decomposition; fault components; sensor data validation; Automatic testing; Engines; Failure analysis; Fault diagnosis; Gaussian distribution; Predictive models; Signal analysis; Time series analysis; Vibration measurement; White noise; AR model; Empirical Mode Decomposition(EMD); information reconstruction; remnant vector; sensor data validation;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.453

Filename

5459600