Research on Identification Method of Multi-Mixed Vibration Signal of Aeroengine

Xiang Yang Jin; Shi Sheng Zhong

doi:10.4028/www.scientific.net/KEM.419-420.801

Paper Titles

An IPMC Actuated 3D Swimming Microrobot and its Propulsive Efficiency Analysis
p.785

Influence of Hydrogen Contents of Ti-6Al-4V Alloy on Cutting Force and Temperature
p.789

Heterogeneous Object Modeling Approach Based on ACIS and HOOPS
p.793

Design of Cascade-Smith Hybrid Control Structure for Pressure Control
p.797

Research on Identification Method of Multi-Mixed Vibration Signal of Aeroengine
p.801

The Order Tracking Study of Variant Speed Process of Aeroengine Vibration Signal
p.805

Multi-Axis EDM CNC System Based on RT-Linux
p.809

Fabrication of Micro Structures by Ultra Short Voltage Pulse Electrochemical Machining
p.813

Bearing Condition Identification Using Improved Multiscale Entropy and SVMs
p.817

HomeKey Engineering MaterialsKey Engineering Materials Vols. 419-420Research on Identification Method of Multi-Mixed...

Research on Identification Method of Multi-Mixed Vibration Signal of Aeroengine

Abstract:

The effectiveness of separation and identification of mechanical signals vibrations is crucial to successful fault diagnosis in the condition monitoring and diagnosis of complex machines.Aeroengine vibration signals always include many complicated components, blind source separation (BSS) provides a efficient way to separate the independent component.In order to get the most effective algorithm of vibration signal separation,experiment has been done to acquire plenty of multi-mixed rotor vibration signals,three sets of vibration data generated from aeroengine rotating shafts were separated from the synthetic vibration signal. The results prove that blind source separation is effective and can be applied for vibration signal processing and fault diagnosis of aeroengine.