| 1. | Fmeca ; fault modes , effects and criticality analysis
故障模式影响与危害度分析 |
| 2. | Fmea ; fault modes and effects analysis
故障模式与影响分析 |
| 3. | The identification of the typical fault mode of prefabricated substation is researched in detail , which make a good fundament for further work
本文对箱式变电站典型故障的识别进行了较为深入的研究，论文工作有新意，为今后的工作打下了良好基础。 |
| 4. | Fault mode and effect analysis ( fmea ) is a fundamental part of rcm and playing a more and more important role on equipment maintenance
Fmea （ faultmodeandeffectanalysis ）是rcm技术分析方法的重要组成部分，是进行rcm逻辑决断，确定设备维修策略的基础工作。 |
| 5. | Finally , the paper pilot studies the deployment of solar panels in fault modes . analyze single deployment fault mode in two work cases : unilateral deployment normally and unilateral deployment fault
最后,本文对dfh - 4卫星太阳翼故障模式展开过程进行了初步研究,主要研究了单侧故障模式展开下的两种工况:单侧正常展开和单侧故障展开。 |
| 6. | By collecting and analyzing the vibration , pressure , temperature , rotating speed , power and etc . , and establishing the fault mode library and evaluating the characteristics parameters as a whole , the system can diagnosis the often - occurred faults
通过采集振动、压力、温度、转速和功率等信号，建立故障模式库，对各类故障综合值的评定，能够诊断出柴油机的常规故障。 |
| 7. | According to the relative membership degree of normal fault mode to needing checking mode , fuzzy optimum selecting theory is application to transformer fault diagnosis . it may judge fault more explicit than fuzzy even weight model
本文提出的模糊优选法进行变压器故障诊断，是根据标准故障模式对待检模式相似的相对隶属度的大小来判断故障，比模糊平均加权模型对故障的判别更为清晰。 |
| 8. | During the course of the develop the instrument , the software used the singlechip c51 compile software . on the other hand , the diagnosis system use the gray system theory identify the fault mode of the electromotor . and use this theory to analyse the mode of the fault motor
本文在软件开发中，使用了嵌入式系统开发中常用的软件编程工具，即单片机c语言，同时利用灰色系统理论来对电机的故障进行识别与分析。 |
| 9. | Some developed bp algorithms which were simulated and compared using computer seperately are also presented , ann learning algorithm in this paper is constructed on the basis of the goodness of all above algorithms which is suitable for the identification of typical fault mode
同时，对神经网络的主要学习算法之一的反向传播算法( bp算法)进行了深入的研究，通过对几种改进算法的模拟实现和对比综合，构造了适合于对箱式变电站典型故障进行识别的学习算法。 |
| 10. | In addition , the paper introduces the basic theory of the nerve network , and applies the bp nerve network in the fault diagnosis of the motors of the transfering system , then uses an example to illustrate the bp network training process and the method which can be used to identify the fault mode of the motors
此外，论文还介绍了神经网络的基本理论，并运用bp神经网络进行中转系统电机的故障诊断中，然后举例说明bp网络的训练过程和电机故障模式识别的方法。 |
