Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance
|更新时间:2026-07-07
|
Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance
Vol. 26, Issue 3, (2011)
作者机构:
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
作者简介:
基金信息:
DOI:
CLC:
Published:2011
稿件说明:
移动端阅览
WANG Guo-fu, ZHANG Hai-ru, ZHANG Fa-quan, et al. Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance[J]. 2011, 26(3).
DOI:
WANG Guo-fu, ZHANG Hai-ru, ZHANG Fa-quan, et al. Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance[J]. 2011, 26(3).DOI:
Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance
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.