时频展缩随机共振用于航空发动机转子故障检测

王国富; 张海如; 张法全; 叶金才

时频展缩随机共振用于航空发动机转子故障检测

1.
桂林电子科技大学信息与通信学院,桂林 541004
2.
中国科学院西安光学精密机械研究所,西安 710119

基金项目: 国家重点基础研究发展计划(2008CB317109); 预研基金(A1120106BW0315)

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出版历程
- 收稿日期: 2010-06-13
- 修回日期: 2010-10-25
- 刊出日期: 2011-03-28

Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance

1.
School of Information and Communication Engineering, Guilin University of Electronic Technology,Guilin 541004,China
2.
Xi'an Institute Optics and Precision Mechanics, Chinese Academy of Sciences,Xi'an 710119,China

摘要

摘要: 提出一种基于时频展缩的随机共振算法,用于检测转子早期故障信号,该方法充分利用了随机共振检测弱信号的优势,通过引入时频展缩,消除了随机共振系统对待测信号频率的限制,实现了在绝热近似理论下,从强噪声中提取出转子微弱早期故障信号.理论分析和实测结果表明:对埋在强噪声中的未知频率的早期故障信号,采用连续的压缩算法,以获得一个适当的输入信号到随机共振体系,根据输出信号共振谐振峰的变化,经反变换运算可得待测微弱故障信号的未知频率.与传统方法相比,计算速度提高了4个数量级,能在极限信噪比(信噪比-50dB)下,提取出目标信号.
- 航空发动机 /
- 转子 /
- 随机共振 /
- 时频展缩 /
- 早期故障检测 /
- 弱信号检测
Abstract: A frequency compression based on stochastic resonance (SR) for detecting incipient fault weak signal was presented because of the benefits of SR for detecting weak signals.The frequency limitation of SR was eliminated by introducing frequency compression.The incipient fault signal was detected from heavy noise under the condition of adiabatic approximation.Theoretical analysis and experiment results show that:to deal with the unknown incipient fault signals mixed with heavy noise,the mixed signal is compressed continuously to achieve a suitable frequency and then input to SR system.According to the change of resonance spectral peak value,the unknown incipient fault frequency can be obtained from heavy noise by inverse transform algorithm.Compared with traditional methods,the computing speed is increased by four magnitudes.The target signal is detected under -50dB.
- aero-engine /
- rotor /
- stochastic resonance (SR) /
- frequency compression /

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参考文献(16)

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