| 1. | The study of ship mechatronic equipment fault diagnosis technique
舰船机电一体化装备故障诊断技术研究 |
| 2. | Design of knowledge system of a communication equipment fault diagnosis
一种通信设备故障诊断知识系统的设计 |
| 3. | Typical application of fuzzy theory used in equipment fault diagnosis based on ann
模糊理论在设备故障诊断神经网络中的典型应用 |
| 4. | Overview of the support vector machines and its application research on equipment fault diagnosis
支持向量机组合分类及其在文本分类中的应用 |
| 5. | Active fusion module based on d - s theory of evidence and its application in equipment fault diagnosis
基于证据理论的主动融合模型及其在故障诊断中的应用 |
| 6. | The simulation results show that this method is easy , realizable , general , and practical in the power plant equipment fault diagnosis
为电厂的故障诊断提供了较好的模型和方法，具有很高的实际应用价值。 |
| 7. | With the increasing of equipment fault complexity , traditional expert system fault diagnosis methods can not provide accurate decision
摘要随著设备故障复杂性的提高，以往所采用的专家系统故障诊断方法已无法给出准确的判断。 |
| 8. | The planned maintenance not only can reduce the equipments fault , but also increases the production performance of the business enterprise
这种防患于未然的定时维修方法,减少了设备故障和生产中事故的发生,提高了企业的生产效益。 |
| 9. | Along with equipment " s towards large scale , automation and complication , the equipment fault diagnosis is getting more and more complicated
随着机械设备朝着大型化、自动化、高速化和复杂化方向的发展，设备的故障诊断也变得越来越复杂。 |
| 10. | 5 , using the method of virtual value . kurtosis , time domain averaging and so on to pick up equipment fault information , and processing data by the method of svm theory
5 、利用有效值、峭度、时域平均分析等方法提取设备故障信息，并利用支持向量机( svm )理论进行机器学习算法研究。 |
