| 1. | Acoustic emission signal processor conditioner 声发射信号处理器 |
| 2. | Characteristics test of acoustic emission signal transmission in wave guiding rod 波导杆中声发射信号传播特性实验 |
| 3. | The application of wavelet analysis on acoustic emission signal processing was studied in the thesis 论文对小波分析方法在声发射信号处理中的应用进行了全面深入的研究。 |
| 4. | The common problems confronted in the application of bp neural network on the pattern recognition of acoustic emission signal were studied 论文对bp神经网络在声发射信号模式识别应用中的共性问题进行了研究。 |
| 5. | The results of practical engineering application showed that the three methods can efficiently extract the features of acoustic emission signal 实际的工程应用结果表明:提出的三种方法能够有效地提取声发射信号的特征。 |
| 6. | Experimental results showed that bp neural network based on the three methods above can make better results for the pattern recognition of acoustic emission signal 实验结果表明,基于以上方法的bp网络在声发射模式识别应用中取得了较好的效果。 |
| 7. | Acoustic emission signal processing is the only effective method to acquire the acoustic emission source information by now and the integrated platform for signal processing became more important for the engineering application of acoustic emission technique 对声发射信号进行分析与处理是目前获取声发射源信息的唯一有效途径,因此集成化的信号处理平台是声发射检测技术工程应用的重要组成部分。 |
| 8. | Aiming at the shortcoming of the products for signal processing platform developed by foreign companies and the domestic status of related research , an integrated platform for acoustic emission signal processing based on wavelet analysis and neural network has been developed in the thesis 针对目前国外已推出的信号处理平台存在的不足以及国内在这方面研究空白的现状,本文提出及开发了一种以小波分析及人工神经网络为主要信号处理和模式识别方法的集成化声发射信号处理平台。 |