| 1. | Consequently distinguish accurately the different fault states on the spot
从而对现场故障能做出准确判断。 |
| 2. | 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。 |
| 3. | A fault decision logic is presented , the fault state of the switch and the fault bridge of the inverter is fixed on . 6
给出了一种故障决策逻辑，基于此可有效确定开关元件故障性质及逆变器故障桥臂位置。 |
| 4. | In fault state , a double circuit transmission line can he decoupled into common sequence component network and differential sequence component network
由于并联电抗器的安装，直接测取双回线两端母线处的电压及线路流过的电流进行测距，必然会引起误差。 |
| 5. | In addition , the electromagnetic transients of normal operating - current state , primary side large current fault state and primary side open - circuit fault state are simulated
对该电流互感器正常工作电流状态、一次侧大电流故障状态及一次侧开路故障状态的电磁暂态过程进行了仿真。 |
| 6. | Third , self - repairing control of some kind of fault states of fighter is studied by using the robust adaptive tracking control method based on the fuzzy t - s model
再次,应用基于t - s模糊模型和自适应神经网络的跟踪控制方案,对歼击机在各种故障条件下进行了自修复控制的仿真研究。 |
| 7. | The approach of fault dictionary often needs to simulate all fault states and extracts corresponding character of circuit , then setup the dictionary by corresponding relation
故障字典法通常需要在测前仿真各种故障状态,提取出与故障状态相对应的电路特征,再将两者一一对应关系列成一个表,即为字典。 |
| 8. | Using this model , not only the normal static and dynamic characters of aircraft epgs but also the fault state system can be simulated . it is useful to analyse and design aircraft epgs
利用本文开发的模型，不仅能模拟电源系统及其部件正常工作时的稳态和动态特性，而且能模拟其故障状态，有助于对飞机电源系统进行分析和设计。 |
| 9. | During the experiment , all the mentioned fault states are simulated . that shows the system can detect and locate the faults quickly and exactly by using the proposed method . it can inspect and diagnose the faults on - line
实验中模拟了各种故障状态，使装置“带病”工作，结果表明该实时诊断系统均能给出正确诊断，指示出具体故障类别，达到了在线故障诊断和监测的目的。 |
| 10. | With normal and fault state signals of outside - rolling , rolling bearing , inside - idling as the standard samples and working state signals as the example , the time - series signal is analyzed in the form of fourier change and more important , the mean of correlation dimensions
通过对滚动轴承振动信号的关联维数分析，证明了该轴承在4种不同标准状态下具有明显不同的关联维数特征。 |
