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Research on Aero-Engine Gas Path Monitoring Signal Processing and System Design

Author: QianYingXue
Tutor: ZuoHongFu
School: Nanjing University of Aeronautics and Astronautics
Course: Traffic Information Engineering \u0026 Control
Keywords: Aircraft engine Gas line Electrostatic Monitoring Wavelet Transform Power frequency Singular point detection Signal-to-noise ratio
CLC: TP29-AD
Type: Master's thesis
Year: 2009
Downloads: 32
Quote: 0
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Abstract


Aero-engine gas path electrostatic monitoring technology is a new type of monitoring technology , engine gas path parts online fault detection and early failure warning , to solve the problem of online monitoring engine gas path component failure can not be able to provide a more comprehensive engine running state information and fault warning shift to state - based condition-based maintenance support for the concept of modern civil aviation engine maintenance . Electrostatic monitoring technique is based on the principle of electrostatic induction , and its characteristics of the signal is a weak signal , the background noise is large , features difficult to extract . Electrostatic induction signal processing noise reduction analysis, extracts the signal characteristics is a key link in the implementation of the monitoring technology . This paper introduces the basic principles of the gas path electrostatic monitoring technology and the monitoring and diagnosis mechanism and summarize stage static monitoring and simulation in the aero-engine gas path fault simulation and static monitoring signals measured won analog fault ; gas path electrostatic monitoring signal processing methods to study the characteristics of electrostatic monitoring signal , the signal processing is divided into to power frequency and noise reduction two steps ; take advantage of time-frequency wavelet analysis and adaptive value theory , analog fault signal feature extraction noise reduction processing and analysis ; electrostatic monitoring signal singular point detection method to study the singular point positioning and singular calculation , the measured signal singularity detection using wavelet analysis tools ; Finally, the development of a set based on LabVIEW 8.5 electrostatic monitoring system , gas path fault simulation verification experiment in the aero-engine simulation stage , the noise reduction and detection methods for simulation of electrostatic monitoring signal analysis , and achieved good results . Provides a theoretical reference and research basis for further study of the gas path electrostatic monitoring technology in the domestic .

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