Research on aeroengine exhaust temperature measurement based on data fusion

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Research on aeroengine exhaust temperature measurement based on data fusion

LEI Wei

(Aircraft Maintenance & Engineering Department, Xiamen Airlines, Xiamen 361006,Fujian, China)

Received:2017-09-15 Revised:2017-11-10 Online:2018-04-25 Published:2018-05-02

Abstract

Abstract: Aiming at problems such as irrational configuration of aeroengine exhaust temperature sensor, limitation of the existing algorithms, fail of fault sensor recognition for a certain type of aircraft, sensors are re-distributed, by using wavelet transform for data prepossessing and removing noise factors among them. Multi-sensor data fusion technology is used for a deeper optimization, and the algorithm identifiability is tested under condition of sensor fault. Finally, five kinds of algorithms are compared and analyzed through experiment. Results show that algorithms based on data fusion can obtain higher accuracy and better fault identification capability.

Key words: aeroengine exhaust temperature, multi-sensor, data fusion

CLC Number:

V241.7

LEI Wei. Research on aeroengine exhaust temperature measurement based on data fusion[J]. .

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