Abstract：Telemetry vibration signal contains a great deal of information that reflects the status of aircrafts during test, and has characteristics of non-linear, non-stationary, strong noise.How to extract the weak nonlinear features which reflect the operating status of the system is directly related to the accuracy of flight status monitoring and fault diagnosis.To solve this problem，a multi-scale noise tuning stochastic resonance analysis method based on double tree complex wavelets was proposed.The impact of multi-scale band limited noise on nonlinear stochastic resonance was fully considered, and a multi-scale noise tuning and salp-swarm-algorithm was used to optimize the iteration of nonlinear stochastic resonance，so the weak feature information of telemetry vibration signal was enhanced.Simulation and experimental results show the effectiveness of the method.
刘学，孙翱，李冬. 基于双树复小波的遥测振动信号多尺度噪声调节随机共振分析[J]. 振动与冲击, 2019, 38(20): 18-24.
LIU Xue，SUN Ao，LI Dong. Multi-scale noise tuning stochastic resonance analysis oftelemetry vibration signal based on double tree complex wavelet. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(20): 18-24.
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