| 1. | The results demonstrate that multiple faults of distribution power network can be solved by this approach successfully
结果证明，配电网多重故障可以由本算法得出准确的故障恢复方案。 |
| 2. | 25 orailov glu a . microarchitectural synthesis of gracefully degradable , dynamically reconfigurable asics for multiple faults . in proc
在无差错运行过程中， cl - acl结构按互补逻辑模式运行。 |
| 3. | At the same time , steam turbine generator - set is a system , which often has multiple faults synchronously , and the problem for the multiple faults has not been solved appropriately
同时，由于汽轮发电机组是一个多故障系统，经常出现多种故障同时发生的情况，而目前对于多故障的诊断问题还未能很好的解决。 |
| 4. | But the deep , multiple fault lines that the row is laying bare ? both within the atlantic alliance , and between the alliance and russia ? seem all too reminiscent of cold - war politics at their dismal worst
但是深处的多重裂纹凸露出来? ?不仅在北约内部，而且在北约和俄罗斯之间? ?似乎极度忧郁地（表现出）对冷战政策的怀念。 |
| 5. | ( 5 ) a two - layer neural network model for steam turbine generator set ' s multiple fault diagnosis is put forward . it can identify the multiple faults and has high modularization . also it can find the new fault
( 5 )建立了汽轮发电机组多故障诊断的两级神经网络模型，它不仅对多故障诊断识别精度高和模块化程度高，且具有发现新故障的能力。 |
| 6. | Different power supply leads to different networks . these networks are parallel . two algorithms are proposed to combine the network diagnosing faults . the system is capable ofdiagnosising multiple faults even if trained on single ones
本文所设计的神经网络故障诊断系统即使在训练单个故障模式情况下也能进行多故障诊断,这是网络泛化能力的体现。 |
| 7. | Then using the neural network , the diagnosis result can be gotten . the methods and models that this paper put forwards can diagnose the vibration multiple faults of steam turbine generator - set effectively , and this could be proved by examples . it enriches the theory and methods in a cert
本文提出的上述模型及方法，经实例分析验证，可对汽轮发电机组振动多故障进行有效诊断，在一定程度上丰富了机组多故障诊断技术的理论及方法，有良好的应用前景。 |
| 8. | Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose , this paper focuses on the models and methods used to judge the multiple faults . these models and models , which are based on fuzzy sets theory , probability causal model , artificial neural network technology and genetic algorithms , are tested by some existing examples and some useful conclusions are drawn . all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
本文在总结和借鉴前人关于汽轮发电机组状态监测和故障诊断的基础上，重点研究基于模糊集理论、概率因果模型、人工神经网络技术以及遗传算法的多故障诊断理论和方法，并用已有的汽轮发电机组振动故障事例进行了验证，得出了一些具有实用价值的结论，进一步丰富和推进了大型汽轮发电机组振动多故障诊断的理论，并提出了一些可靠的、实用的新方法。 |
| 9. | ( 2 ) a new method , which can be used to diagnose steam turbine generator - set ' s multiple faults , is brought out . this method , which is based on fuzzy clustering analyze theory , puts standard fault samples and the checked samples together as classified samples and draw a conclusion by using transfer closure based on fuzzy equivalence matrix
( 2 )运用模糊聚类分析理论，将标准故障样本和侍检数据一起作为分类样本，利用基于模糊等价矩阵的传递闭包法，提出了一种用于汽轮发电机组多故障诊断的新方法。 |
| 10. | ( 6 ) by the research of clustering capability of som , associated with fuzzy clustering analysis , we can realize the diagnosis of multiple faults of turbine generator - set . ( 7 ) by the analysis of the fuzzy - c partition and the genetic algorithm , a new method combing with them is put forward . this method can prevent the fuzzy - c partition from the local least point and can diagnose the steam turbine generator - set ' s multiple faults more effectively
( 7 )通过模糊c -划分极易陷入局部极小值和遗传算法有全局寻优特点的分析，提出了将两者相结合的聚类分析新方法，不仅可克服模糊c -划分陷入局部极小点的缺陷，而且能对汽轮发电机组的多故障进行有效的诊断。 |
