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机构地区:[1]西北工业大学自动化学院,西安710072 [2]中国飞行试验研究院,西安710089 [3]南京航空航天大学航空宇航学院,南京210016
出 处:《振动.测试与诊断》2012年第5期827-830,867,共4页Journal of Vibration,Measurement & Diagnosis
摘 要:为解决飞行试验管路振动测试信号无法直接进行后继处理得到管路振动的加速度、位移等振动特征参数的问题,研究了一种基于连续复数小波变换的降噪方法。该方法利用连续复数小波变化提取振动测试信号中管路共振频率范围内的时频成分,降低谐波和白噪声等主要干扰的幅度以达到降噪效果,能更有效地获取飞行过程中管路的振动状况。首先,分析了基于连续复数小波变换的信号降噪原理;然后,通过对设计的仿真信号以及某型飞机试飞时的管路振动实测信号的降噪处理,验证了该方法的可行性和有效性。Testing signals of aircraft pipe vibration test in experimental flight is usually accompanied with the noise of high amplitude and wide frequency band. The frequency band of the noise signals covers the whole frequency band of sampling. It causes that testing signals acquired in flight cannot be processed to obtain the characteristic parameters of pipe vibration, such as acceleration and displacement, so as to reduce test accuracy and efficiency. A continuous complex wavelet transform based de-noising method is studied. The continuous complex wavelet transform is used to extract the signal components of testing signals in the frequency range of resonance frequency so as to reduce harmonic wave noise and Gaussian white noise mixed in the testing signals and to acquire the condition of pipe vibration in flight process more efficiently. This method is validated by de-noising a simulated signal and a testing signal of an aircraft pipe vibration in experimental flight.
分 类 号:TB302.5[一般工业技术—材料科学与工程] TB33
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