| 1. | Fft complex wavelet and its application to signal process of machine fault diagnosis
复小波及在设备故障信号分析中的应用 |
| 2. | Two wavelet transform methods and application of fault signal analysis on generator
两种小波变换方法及其在发电机故障信号分析中的应用 |
| 3. | Alarm systems - intrusion systems - part 6 : power supplies ; german version en 50131 - 6 : 1997 corrigendum 1998
报警设备.故障信号设备.第6部分:电源 |
| 4. | Alarm systems - intrusion systems - part 1 : general requirements ; german version en 50131 - 1 : 1997 corrigendum : 1998
报警设备.故障信号设备.第1部分:一般要求 |
| 5. | Four new wavelet transforms and their applications to fault signal analysis in generators of power systems
4种新的小波变换及其在发电机故障信号分析中的应用 |
| 6. | Furtherly , a fault circuit selecting method based on fault transient components is presented
在此理论基础上，提出了利用故障信号中丰富的暂态量进行选线的方法。 |
| 7. | Research on the extraction method of time - domain symptoms based on wavelet packet decompositions of mechanical fault signal
机械故障信号小波包分解的时域特征提取方法研究 |
| 8. | The results indicate that there is chaos in the real given fault gear signal and the surrogate data technique can identify chaos exactly
结果表明，齿轮故障信号存在混沌特征，替代数据法能对其进行准确识别。 |
| 9. | This paper introduces a novel fault circuit selecting method , which utilizes wavelets transform to obtain useful fault transient components
本文着重介绍了利用小波变换提取故障信号的暂态高频分量，进行故障选线的方法。 |
| 10. | Mathematic models about fault classification and discrimination are established by means of computing box - counting dimensions of fault signals
通过计算故障信号的盒维数，建立故障分类和故障程度辨识的数学模型，完成故障的诊断。 |
