| 1. | A simulation study of stress of aircraft structures subjected to acoustic excitation
航空结构声激励应力的仿真研究 |
| 2. | Measurement of the electrical properties of electronic tubes ; measurement of noises due to mechanical or acoustic excitations
电子管电气性能测量.第19部分:由于机械或声激励引起 |
| 3. | In these experiments acoustic excitations were employed to play the role of the feedback of the upstream - propagating disturbances of pressure in the impinging shear flow
实验中，以声激励代替在撞击剪切流中向上游转播的压力扰动的反馈作用。 |
| 4. | Thereinto , where the shoe pinches is how to choose character related to adhesive capacity from acoustic signal , and it is primary content in this paper , too
其中，如何从声激励声信号中获取与粘接性能有关的特征是该方法的关键所在，也是本论文的主要内容。 |
| 5. | Experimentation result show that the method provided in this paper can choose effective characters from acoustic signal and establish the base for classify distinguishing effectively and forecast
实验结果表明，用本文所提供的特征提取方法，可以从声激励信号中提取出有效的特征信息，对以后进行粘接构件性能的分类预报奠定了基础。 |
| 6. | By the method of double - frequency acoustic excitations , experiments were conducted on the influences of phase differences between the fundamental and subharmonic waves upon the " subharmonic resonance " - the nonlinear interaction between the waves
用双频声激励方法，实验研究了剪切流中基波及其亚谐波的相位差对“亚谐共振”非线性过程的影响。 |
| 7. | Under different positions of a tripping wire or speeds of the side jet , the controlled experiments were made , including the receptivity of the shear layer near jet exit to acoustic excitations , the spatial development of fluctuating velocity and the profiles of mean velocity
在不同绊线位置或不同旁射流流速条件下，研究了射流出口临近剪切层对声激励的感受性，脉动流速向下游的空间演化及平均流速剖面。 |
| 8. | Test technique of acoustic excitation presented in this paper can discriminate if the adhesive structure is intensional enough to endure certainty draw strength , through a series of process , for example bringing draw strength to bear on adhesive structure . testing signal through microphone array , choosing signal ' s character , recognizing automatically through manual nerve network , and so on
本文介绍的粘接构件声激励检测方法，通过对粘结结构施加微力、阵列传声器检测信号、信号的特征提取、人工神经网络的分类识别等一系列过程，完成了粘接结构承受拉脱力合格与否的无损预报。 |
| 9. | Acoustic excitation signal is processed with wavelet analysis in this paper , and chooses characters related to adhesive capacity from acoustic signal in the time domain and frequency domain . these characters is the input of nerve network which is used to non - mangle test about mechanics capacity of adhesive structure , and establish the base for classify distinguishing effectively and forecast
本文采用小波变换的方法对采集到的声激励信号进行分析，在时-频域提取出与粘接性能有关的特征量，用于粘接结构力学性能无损检测的神经网络输入，从而为有效进行分类判别和预报奠定了基础。 |
