Decision making of aircraft engine blades condition based on bispectral analysis of the vibroacoustical signal

被引：0
|
作者：
Bouraou, NI [1 ]
Protasov, AG [1 ]
Sopilka, YV [1 ]
Zazhitsky, OV [1 ]
机构：
[1] Natl Tech Univ Ukraine KPT, NDT Dept, UA-03056 Kiev, Ukraine
来源：
Review of Progress in Quantitative Nondestructive Evaluation, Vols 24A and 24B | 2005年 / 760卷
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper the simulation of vibroacoustical signals radiated by the engine turbine at the stationary vibration excitation is carried out for situations when all turbine blades have no defects and one blade has a small fatigue crack. Bispectral analysis is used for diagnostic information processing. It demonstrates that appearance and evolution of the fatigue crack in a blade change intensity of global and local extremums of bispectral modules. The results of bispectral processing and Probability Neural Network (PNN) are used to recognize of tire turbine blades condition. The efficiency factor is used for precision analysis.
引用
收藏
页码：760 / 766
页数：7
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