基于小波谱分析的导弹发动机复合材料深层缺陷检测

Weak Flaw Detection of Missile Engine Composite Structure Based on Wavelet Spectrum

导弹发动机深层信息非常微弱,而且多次回波的时域频域严重重叠,信息提取难。通过系统响应的角度,对导弹发动机部位复合结构材料的超声信号进行建模,利用最优时间段截取分析建模,采用小波谱分析技术对导弹深层缺陷进行成功的识别。

Deep flaw information in missile engine composite structure is very weak and its echoes overlap badly in time field and frequency field, which lead to the difficulty in information abstraction. In this paper ultrasonic model of missile engine composite structure is set up and the optimal time window is selected to model, at last it can detect deep flaw in composite structure with the technology of wavelet-spectrum successfully.