| 1. | Research on a extraction method for weak fault signal and its application
一种弱故障特征信号的提取方法及其应用研究 |
| 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. | 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 |
| 4. | 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 |
| 5. | 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。 |
| 6. | The simulation result shows that using wavelet packet analysis to separate the character from the transient fault signals is an efficient way
仿真结果表明：利用小波包分析理论对电力系统故障暂态信号特征提取处理是行之有效的方法。 |
| 7. | Because neural networks have a very strong ability in pattern recognition , an nn classifier is used in the multi - parameter recognition of fault signals
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。 |
| 8. | Eventually , the filtering program which can successfully take the useful fault signal out from the background with strong noise is designed
对图象数据的处理采用turboc + + 3 . 0作为编程工具，成功地设计了在强噪声背景下将微弱的有用信号提取出来的滤波程序。 |
| 9. | On the base of mastery of fault laws and fault phenomenon , all arithmetic is sorted from the view of using what fault signal , and compared
在完整把握故障规律和故障现象的基础上，从利用何种故障信号的角度对目前的各种算法进行了分类，并进行了分析比较。 |
| 10. | This method of feature extraction was used to collect over the fault signals with the gearbox of type dongfeng 81 - a walking tractor , and some satisfactory results were obtained
在实践中应用在对东风81 - a型手扶拖机齿箱的故障信号进行特徵提取，取得了较好的效果。 |
