| 1. | R . p . m . wow and flutter test records 33 1 3 and 45 u min r . p . m
失调测定试验唱片33 1 3和45转分 |
| 2. | Wow and flutter test record
抖晃度测试唱片 |
| 3. | The feasibility of the technique is examined by using compute simulation and flutter testing of aeroelastic models in low - speed wind tunnel
经数字仿真及气弹模型低速风洞颤振试验数据验证，取得了满意的效果。 |
| 4. | Flutter boundary prediction ( fbp ) based upon sub - critical turbulence response analysis is an important research work in flutter test field of aircraft
基于飞机结构亚临界响应分析的颤振边界预测( fbp )技术是颤振试验研究的重要课题。 |
| 5. | Especially , the technique proposed here can be expanded to the flutter test with variable speed . the related software is developed on labview for windows
并通过数值仿真和某型飞机气弹模型低速风洞颤振试验验证了方案的有效性、可靠性和工程实用性。 |
| 6. | In this paper , according to the characters and processing requirements of flutter test data , based on the general theory of wavelet analysis , a set of laplace wavelets are introduced
本文根据颤振试验信号的基本特征和处理要求，在对小波一般理论研究的基础上，引入了一种适用于颤振试验信号处理( ftdp )的小波? ? laplace小波。 |
| 7. | According to the features and requirements of flutter test signal , the method for edge detection is used to pickup the major information of signal image , and a new technique is brought out for the flutter boundary prediction
基于多尺度图像边缘检测技术，本文研究了飞机结构颤振的边界预测问题，给出了一种新的稳定性参数估计方法。 |
| 8. | At last the properties of the laplace wavelet algorithm was demonstrated by digital simulation signal and wind tunnel flutter test signal . it comes the result that correlation filtering using laplace is a very promising and feasible approach
本文算法是采用matlab语言实现的，通过数字仿真和实际的风洞颤振试验信号，对方法的数值特性和应用情况进行了考核和验证。 |
| 9. | Turbulence response . the functions of the methods are investigated by computer simulation and further examined by using flutter testing data of low - speed wind - turne of some aeroelastical modes . the related software is developed on matlab and labview for windows
结果表明，本文方法在精度、有效性和数值特性等方面优于现有的时频域滤波方法，并具有较好的应用特性，可以满足工程应用的实际需求。 |
| 10. | Simultaneously , a new fbp criterion is presented based on the gray - lavel and contour for the image of gabor spectrogram and the relation parameter is used to make flutter boundary prediction . the functions of the method are studied by computer simulation and further examined by using several flutter testing data ( low - speed wind - tunnel , high - speed wind tunnel and flight )
本文详细研究了颤振信号联合时频谱图的特征，应用图像边缘识别方法对颤振信号时频谱图的轮廓、灰度进行了综合分析，给出了一种全新的颤振余量定标量化法，依此量化值完成对颤振边界的外推。 |
