《基于Vague集相似度量的风力发电机故障诊断的研究》-毕业论文（设计）.doc

PAGE PAGE 上海电机学院 毕业设计 课题名称 基于Vague集相似度量的 风力发电机故障诊断研究 学 院 电气学院 专 业 测控技术与仪器 班 级 BG076 学 号 38 姓 名 指导教师 定稿日期： 2011 年 5月18日 摘要 设备诊断技术有重要的实用价值，已成为一个研究的热点，并且以深厚的理论为基础。系统论、信息论、控制论、非线性科学等最新技术在其中都有广泛的应用。本文的理论基础是模糊集的推广形式——Vague集，描述了Vague集的含义与相似度量，并提出一种Vague集的相似度量在风力发电机故障诊断中的新方法；Vague集之间的相似度量是评价待诊断检测样本接近系统故障知识的度量，某一相似度量值越大，待检测样接近某一故障知识越好，从而根据相似度量值确定振动故障的类型。针对风力发电机振动故障，通过实例分析Vague集之间的相似度量是有效的、合理的，并且这种方法比神经网络诊断方法更加简单易用。 关键词：Vague集；相似度量；风力发电机组；故障诊断 ABSTRACT The technique of equipment diagnosis hasimportantly applied value and become a research hotspot．It is the base on profound theory The latest techniques on System theory，information theory ，control theory，and nonlinear science etc .all have the extensive application in fault diagnoses， The meaning a11d similarity measures of vague sets were described as a generation of sets——vague sets． A new method of the fault diagnosis of wind generator was presented in the basis of the similarity measures among vague sets. The similarity degree between the detecting sample and the knowledge of system fault is evaluated in the fault diagnosis of wind generator vibration by means of the similarity measures among vague sets．The bigger the value 0f similarity measure is，the better is the similarity degree between the detecting sample and a type of fault knowledge Then，the type of vibration fault is determined according to the value of the similarity measure Examples explain thc validity and reasonability in the fault Diagnosis problems based on the similarity measures among vague sets．This method can give you theoretical foundation of multi—fault diagnosis，and easier than the fault diagnosis method of neural networks． Keywords: Vague sets, Similarity measures, Wind generator, Fault diagnosis  目录 1 引言 1 1.1 选题背景 1 1.2 意义 2 2 Vague的基本理论 4 2.1 Vague集概念 4 2.2 Vague集的基本性质和运算 5 2.3