fuzzy relationship meaning in Chinese
模糊关系
Examples
- Methods for reasoning on a fuzzy relationship data base
模糊关系数据库的推理方法 - Research on dynamic fuzzy relationship and its application in evaluation of teaching
动态模糊关系及其在教学质量评价中的应用 - In accordance with the technological difficulties encountered in the process of insulation supervision based on the dissolved gases analysis ( dga ) , several kinds of model and method are presented to improve the reliability and precision of fault diagnosis of the power transformer . main research content includes : by deeply studying the common transformer faults diagnosing methods , such as three - ratio methods and improved electrical committee agreements , several shortcomings such as uncertainness judgment when the fault reasons , phenomenon and principles come out together while can not consistent to each other etc . for this reason , the old methods can not fully meet the need to engineering practical application . considering fuzzy relationship matrix can fully represents the causality between fault symptoms and fault types , when diagnosing complex equipments with multiple symptoms and fault causes such as power transformer , a synthetic fuzzy diagnosing model is firstly proposed to diagnose transformer ' s insulation faults based on dga in this paper
本文针对应用油中溶解气体分析方法进行变压器绝缘监督时所遇到的主要技术难点，提出了提高变压器故障诊断的准确性、可靠性的几种模诊断方法，主要研究内容有：通过对判断变压器故障常用的三比值法和改良电协研法的深入分析，其诊断准确率较高，但对故障原因、故障现象和故障机理间同时存在不确定性和模糊性的变压器等电气设备的故障诊断，难于满足工程应用的需要；在处理变压器等结构复杂设备的多症状、多原因故障诊断时，模糊关系矩阵可以全面反映这种症状与故障类型间的因果关系，进而提出了变压器故障诊断的模糊综合诊断模型；同时作者还深入分析了模糊算子的特性；针对常用的模糊评判结果的模糊集的集化方法的不足性，提出了将模糊综合诊断与模糊规则推理结合起来进行故障诊断的方法，能达到较好的效果。 - This method synthesizes symptom factors to diagnose the fault thus improves the accuracy of the diagnosis result . the determine of the character parameters , symptom factors , membership function , the fuzzy relationship between fault and symptom factors , weights and the diagnosis rules are introduced in detail
文中详细介绍了特征量、征兆因子、隶属函数、故障与征兆间的模糊关系、权重、诊断原则等的确定过程，然后用一个实例对这个方法进行了验证，诊断结果基本与事实相符合。 - Chapter three discusses the vibration information based automatic diagnosis mehtod . the acquisition of spectrum feature of fault pattern class by the fuzzy clustering algorithm is the bisis of pattern recognition in the level of fault class . the result acquired by fuzzy relationship between vibration symptom and fault shows the feature of fuzzy - relation - based method
第三章主要研究基于振动信息的自动诊断方法，建立了故障模式类的概念，根据模糊聚类算法确定了故障标准模式类及其频谱特征，为在故障模式类层次上的模式识别提供了理论基础；研究了模糊关系诊断结果的分布规律；建立了综合诊断实现了基于综合诊断方法的多机组、多测点在线诊断。