Vibration Analysis of Civil Aero-Engine Based on Stochastic Resonance Preprocessing

Ying Zhang; Heng Yu Liao; Ge Zhao

doi:10.4028/www.scientific.net/KEM.693.1545

Paper Titles

A Processing Method of Identifying Spectrum of Shock Load for the Combustion Gas Stream
p.1517

A Transient Faults Diagnosis Method Based on EEMD, Spectral Kurtosis Theory and Energy Operator Demodulating
p.1524

Research of Noise Mechanism and Performance Improve of DVC Drum
p.1532

Time-Domain Fault Diagnosis Method of Mechanical and Electrical Equipment Based Improved Dynamic Time Wraping
p.1539

Vibration Analysis of Civil Aero-Engine Based on Stochastic Resonance Preprocessing
p.1545

2-D Defect Profile Reconstruction from Ultrasonic Guided Wave Signals Based on Radial Wavelet Basis Function Neural Network with ELM
p.1551

Design for New Gear Measuring Centers
p.1562

Development of Portable Fault Diagnosis System Based on SR
p.1567

Application and Research on CNC Operation Panel Based on PMAC
p.1573

HomeKey Engineering MaterialsKey Engineering Materials Vol. 693Vibration Analysis of Civil Aero-Engine Based on...

Vibration Analysis of Civil Aero-Engine Based on Stochastic Resonance Preprocessing

Abstract:

Stochastic resonance (SR) in the bistable system can reduce the noise level, reveal the waveform’s outline prominently, and improve the quality of the system output. Under the support of SR techniques, the extraction accuracy of the civil aero-engine rotor vibration information is lifted, especially when treating the signals contaminated by heavy noise. Results indicate that the SR signal preprocessing method via tuning the relative parameters is effective to reflecting the real vibration of the aero-engine rotor. It can also monitor the short-term failure phenomenon in the sampling data.

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Periodical:

Key Engineering Materials (Volume 693)

Pages:

1545-1550

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.693.1545

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Online since:

May 2016

Authors:

Ying Zhang*, Heng Yu Liao, Ge Zhao

Keywords:

Civil Aero-Engine, Rotor, Signal Preprocessing, Stochastic Resonance, Vibration

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