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颤振边界预测
相关语句
  flutter boundary prediction
     Focused on the features and requirements of flutter boundary prediction (FBP), the method presented here is introduced and investigated around precision, anti-noise and short sample.
     针对飞机颤振边界预测(Flutter Boundary Prediction,FBP)的数据特征及分析要求,论文从预测精度、抗噪性、短样本效应三个方面考察了所研究方法的适用性和可靠性。
短句来源
     Real-time Flutter Boundary Prediction System for Flutter Test with Progressive Variable Speed
     连续变速颤振试验的实时颤振边界预测系统
短句来源
     Method of Time Frequence Syntony for Flutter Boundary Prediction
     颤振边界预测的时频共振方法研究
短句来源
     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。
短句来源
     This paper treats ACSE algorithm as a time-frequency domain technique and applies it to processing of flutter signals obtained in an aeroelastic model test in a low-speed wind tunnel. The results show preliminarily that the precision of flutter boundary prediction can be improved by 1%~3%.
     同时 ,该算法作为一种时频域滤波技术 ,成功应用于某型飞机的颤振试验信号处理中 ,使得颤振边界预测的精度提高了 1 %~ 3%
短句来源
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  “颤振边界预测”译为未确定词的双语例句
     THE PREDICTION OF FLUTTER BOUNDARY——THE APPLICATION OF STATE-SPACE MODEL AND LYAPUNOV'S DIRECT METHOD
     颤振边界预测——状态空间模型和李雅普诺夫直接法的应用
短句来源
     In this thesis, the theories of Joint Time Frequency Analysis and Image Processing are combined, and a new FBP method called STF is proposed.
     本文根据颤振试验的原理和观测信号特点,综合运用联合时频分析和图像边缘识别理论,提出了一种颤振边界预测的新概念——时频共振(STF),并完成了STF方法和算法的研究。
短句来源
     Focused on the nonstationary features and analysis requirements of flutter test data, the application scheme is brought forward for flutter signal processing.
     本文基于颤振试验信号的非平稳特点与分析需求,应用自适应时频分析技术给出并实现了两种新的颤振信号处理方案,重点研究了适用于连续变速颤振试验的颤振边界预测问题。
短句来源
     It incorporates organically the flight test data and the flutter theory model by the structured singular value theories,to process the flutter boundary estimate.
     利用结构奇异值理论将颤振理论模型和试飞数据有机结合起来,进行了颤振边界预测
短句来源
     A kind of new flutter analysis method (robust flutter margin method) were introduced. Pass to incorporate organically the flight test data and the system model, make use of the structured singular value theories proceed the flutter boundary estimate.
     一种新的颤振分析方法——鲁棒颤振裕度法被介绍,它利用结构奇异值理论将系统模型和试飞数据有机结合起来进行颤振边界预测
  相似匹配句对
     Method of Time Frequence Syntony for Flutter Boundary Prediction
     颤振边界预测的时频共振方法研究
短句来源
     Real-time Flutter Boundary Prediction System for Flutter Test with Progressive Variable Speed
     连续变速颤振试验的实时颤振边界预测系统
短句来源
     New Method of Predicting Surge Lines of Fan
     预测风机喘振边界的新方法
短句来源
     The accuracy of modal parameter estimation plays a crucial role in flutter boundary prediction.
     准确估计模态参数在飞机颤振边界预测中具有重要意义。
短句来源
     THE PREDICTION OF FLUTTER BOUNDARY——THE APPLICATION OF STATE-SPACE MODEL AND LYAPUNOV'S DIRECT METHOD
     颤振边界预测——状态空间模型和李雅普诺夫直接法的应用
短句来源
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Refs.3 and 4 dealt with chirplet decomposition. In using Refs.3 and 4, we found that estimating initial values is one key problem that must be carefully dealt with. So, in this paper on ACSE algorithm, we lay particular emphasis on discussing how to estimate initial values. ACSE algorithm is a new algorithm based on chirplet elementary functions. This new algorithm obtains initial value estimation and precise resolution simultaneously and expands signal adaptively as the sum of chirplet elementary functions....

Refs.3 and 4 dealt with chirplet decomposition. In using Refs.3 and 4, we found that estimating initial values is one key problem that must be carefully dealt with. So, in this paper on ACSE algorithm, we lay particular emphasis on discussing how to estimate initial values. ACSE algorithm is a new algorithm based on chirplet elementary functions. This new algorithm obtains initial value estimation and precise resolution simultaneously and expands signal adaptively as the sum of chirplet elementary functions. According to expansion coefficients and elementary function parameters, adaptive time-frequency energy distribution is obtained. The signal is reconstructed well and noise is also effectively reduced. We tabulated simulation results for ten parameters (five design parameters and five estimated parameters), giving amplitude, standard deviation, time, frequency, and frequency modulation rate for each of these ten parameters. Comparison of simulation results for each signal parameter with those for its corresponding estimated parameter shows that estimation precision of ACSE algorithm is very high. This paper treats ACSE algorithm as a time-frequency domain technique and applies it to processing of flutter signals obtained in an aeroelastic model test in a low-speed wind tunnel. The results show preliminarily that the precision of flutter boundary prediction can be improved by 1%~3%.

提出了一种新的以高斯线调频小波作为基函数的自适应信号展开算法。算法融参数的初值估计和精确估计于一体 ,自适应地将信号展开在高斯线调频小波基函数集上 ,通过展开系数和基函数参数获得信号的自适应时频能量分布。数值仿真结果表明该算法抗噪性好 ,信号可重构性高。同时 ,该算法作为一种时频域滤波技术 ,成功应用于某型飞机的颤振试验信号处理中 ,使得颤振边界预测的精度提高了 1 %~ 3%

The accuracy of modal parameter estimation plays a crucial role in flutter boundary prediction. A new wavelet denoising method is introduced for flight flutter testing data, which can improve the estimation of frequency domain identification algorithms. In this method, the testing data is first preprocessed with a gradient inverse weighted filter to initially lower the noise. The redundant wavelet transform is then used to decompose the signal into several levels. A “clean” input is recovered from the noisy...

The accuracy of modal parameter estimation plays a crucial role in flutter boundary prediction. A new wavelet denoising method is introduced for flight flutter testing data, which can improve the estimation of frequency domain identification algorithms. In this method, the testing data is first preprocessed with a gradient inverse weighted filter to initially lower the noise. The redundant wavelet transform is then used to decompose the signal into several levels. A “clean” input is recovered from the noisy data by level dependent thresholding approach, and the noise of output is reduced by a modified spatially selective noise filtration technique. The advantage of the wavelet denoising is illustrated by means of simulated and real data.

准确估计模态参数在飞机颤振边界的预测中具有重要意义。为了提高频域辨识算法的辨识效果 ,提出了一种用于颤振飞行试验数据处理的小波去噪方法。该方法引入梯度倒数加权滤波器对数据进行预处理 ,处理后的数据运用冗余小波进行小波分解 ,然后对输入信号在不同尺度下分别进行阈值降噪 ,对输出信号则采用了一种改进的小波空域相关滤波法去噪。最后通过仿真计算和实际数据证明该方法有效

Adapting the self-adaption time-frequency analysis method, through the theoretical analysis and digital simulation the study of relative numeral and applied characteristics has been done in this paper. According to the principle of the flutter test and the characteristics of the signal, the two time-frequancy field filtering algorithms are led to research on the flutter boundary prediction of the subcritical response of the aeroplane structure. Through the joint time-frequency analysis (JTFA) and the time-frequency...

Adapting the self-adaption time-frequency analysis method, through the theoretical analysis and digital simulation the study of relative numeral and applied characteristics has been done in this paper. According to the principle of the flutter test and the characteristics of the signal, the two time-frequancy field filtering algorithms are led to research on the flutter boundary prediction of the subcritical response of the aeroplane structure. Through the joint time-frequency analysis (JTFA) and the time-frequency field filtering, the effective signal and the model parameter are picked up and the flutter boundary is predicted. The desired result is achieved.

采用自适应时频分析方法并通过理论分析和数字仿真完成了相应的数值特性与应用特性研究。根据颤振试验的原理和观测信号特点,将所提出的两种时频域滤波算法引入到了飞机结构亚临界响应分析的颤振边界预测研究当中,即通过联合时频分析(JTFA)与时频域滤波提取有效信号再进行模态参数提取与颤振边界预测,取得了预期的效果。

 
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