Research on Aero-Engine Sensor Failure Diagnosis with Dual Redundant Predictors Based on Neutral Network

Author

Sun Yigang ; Ren Daming

Author_Institution

Aeronaut. Autom. Coll., Civil Aviation Univ. of China, Tianjin, China

fYear

2011

fDate

28-29 May 2011

Firstpage

1

Lastpage

4

Abstract

In consideration of the common sensor failures in aero-engine control system, a new approach is proposed using dual redundant predictors based on neutral network in this paper. The neutral network temporal redundant predictor and spatial redundant predictor are created over the time series redundant information of single sensor and the space redundant information of multi-sensor respectively. The threshold-value differentiate method is applied for real-time sensor failure detection. Isolate the fault sensor and use the outputs of spatial redundant predictor to accommodate it. Digital simulation results show that this method is effective and feasible.

Keywords

aerospace engines; aerospace instrumentation; computerised instrumentation; digital simulation; fault diagnosis; mechanical engineering computing; neural nets; sensor fusion; aero-engine control system; aero-engine sensor failure diagnosis; digital simulation; dual redundant predictors; multisensor; neutral network; spatial redundant predictor; temporal redundant predictor; threshold-value differentiate method; Artificial neural networks; Control systems; Engines; Redundancy; Rotors; Temperature sensors; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9855-0

Electronic_ISBN

978-1-4244-9857-4

Type

conf

DOI

10.1109/ISA.2011.5873346

Filename

5873346