1) fuzzy diagnosis
模糊诊断
1.
The application of fuzzy diagnosis based on Kohonen neural network in the on line computer inspection of steel tube substance;
基于Kohonen网络的模糊诊断技术在钢管材质分检中的应用
2.
Fault fuzzy diagnosis for transformers with confidence factors;
带置信因子的变压器故障模糊诊断
3.
The fuzzy diagnosis of X-type disturbance bomb throwing device s malfunction;
某型干扰弹投放器故障的模糊诊断
2) indefinite diagnose model
模糊诊断模型
1.
This paper represents that the study of the failure analysis on the kind of gear wheel parts,hence gear wheel parts failure state factor is provided with interactive and complex for the reliabilitysolve indefinite performance question of the failure analysis on the kind of gear wheel, We present an indefinite diagnose model.
通过齿轮零件失效分析的研究表明，由于齿轮零件失效状态因素的多重性及复杂性，为可靠解决汽车齿轮类零件失效分析中的模糊性问题，提出了模糊诊断模型。
3) fuzzy diagnosis model
模糊诊断模型
1.
A new fuzzy diagnosis model with multi-functional reality problem was established in the guidance of system theory,adoption of fuzzy mathematics and system engineering methods,and uses of some diagnosis system widely applied.
为建立一种新的农业现实系统问题模糊诊断模型,以系统论为指导,应用模糊数学、系统工程的综合集成方法,对目前广泛使用的诊断模型进行交叉与综合创新研究,构建出一种融合各种模型功能的现实系统问题模糊诊断模型,并通过多种现实复杂系统问题诊断分析的应用与验证。
4) fuzzy diagnosis of TCM
中医模糊诊断
5) fuzzy diagnosis theory
模糊诊断理论
1.
In order to quickly and accurately forecast, analyze, and diagnose faults in circuit breaker, and determine fault nature, type, cause, and location, a diagnosis model of HV SF6 circuit breaker based on fuzzy diagnosis theory was presented.
为了快速、准确地对断路器将要发生的故障或已经发生的故障进行预报、分析和诊断,确定故障的性质、类别、原因、部位,笔者基于模糊诊断理论提出了高压SF6断路器的模糊故障诊断的数学模型,并根据统计分析了高压SF6断路器的常见故障和多发故障,确定了对高压SF6断路器的在线监测项目以及状态监测量与故障之间的对应关系,建立了高压SF6断路器的故障集、故障征兆集和模糊关系矩阵,并给出了最佳的模糊算子和故障诊断原则。
6) fuzzy fault diagnosis
模糊故障诊断
1.
Application of the reliability simulation in fuzzy fault diagnosis;
可靠性仿真在模糊故障诊断中的应用
2.
Application of fuzzy fault diagnosis in gas exchanging system of marine diesel engine
模糊故障诊断在船舶柴油机换气系统中的应用
3.
The effectiveness of fuzzy fault diagnosis has been analyzed through simulation studies with triangular,trapezoidal and Gaussian membership functions and results are compared.
讨论基于模糊规则的模糊诊断方法中隶属函数的选择问题,以同步电机的匝间线圈故障检测为例,将逆电流和逆电压作为模糊故障检测的两个输入变量,以同步电机的故障代码值为输出变量,分别采用三角形、梯形和高斯型三种隶属函数进行模拟,从模拟结果分析得出在一般电气设备的模糊故障诊断中,采用三角形隶属函数进行模糊故障诊断的准确度优于使用梯形和高斯形隶属度函数。
补充资料：打模糊
1.装糊涂。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条