| 1. | Study on the fault features extraction of the rotor blades cracks
转子叶片裂纹故障特征提取研究 |
| 2. | Study on separating fault characteristic gases from transformer oil
从变压器油中分离故障特征气体的研究 |
| 3. | It put forwards the spectral residual concept , the fault feature are obtained
获得了调速系统的故障特征。 |
| 4. | 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 |
| 5. | Concentration prediction of fault characteristic gases in power transformer oil
变压器油中故障特征气体体积分数的预测 |
| 6. | Therefore the information gain is a suitable criterion for choosing signature signals
因此，这些量是重要的故障特征量。 |
| 7. | Kernel principal component analysis and its application to fault feature extraction
核函数主元分析及其在故障特征提取中的应用 |
| 8. | It is important to extract fault features when machine would be in fault state
摘要机械设备发生故障时，故障特征的提取很重要。 |
| 9. | It can be acquired that wavelet analysis has the advantages in collecting the fault characters of the blade
小波分析在叶片故障特征提取方面具有明显的优越性。 |
| 10. | Results of simulation and experiments demonstrate that the detection scheme is valid and feasible
3 .对异步电动机定子绕组匝间短路故障特征进行了机理、仿真与实验分析。 |
