Methods for reasoning on a fuzzy relationship data base 模糊關(guān)系數(shù)據(jù)庫(kù)的推理方法
Research on dynamic fuzzy relationship and its application in evaluation of teaching 動(dòng)態(tài)模糊關(guān)系及其在教學(xué)質(zhì)量評(píng)價(jià)中的應(yīng)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 本文針對(duì)應(yīng)用油中溶解氣體分析方法進(jìn)行變壓器絕緣監(jiān)督時(shí)所遇到的主要技術(shù)難點(diǎn),提出了提高變壓器故障診斷的準(zhǔn)確性、可靠性的幾種模診斷方法,主要研究?jī)?nèi)容有:通過(guò)對(duì)判斷變壓器故障常用的三比值法和改良電協(xié)研法的深入分析,其診斷準(zhǔn)確率較高,但對(duì)故障原因、故障現(xiàn)象和故障機(jī)理間同時(shí)存在不確定性和模糊性的變壓器等電氣設(shè)備的故障診斷,難于滿足工程應(yīng)用的需要;在處理變壓器等結(jié)構(gòu)復(fù)雜設(shè)備的多癥狀、多原因故障診斷時(shí),模糊關(guān)系矩陣可以全面反映這種癥狀與故障類型間的因果關(guān)系,進(jìn)而提出了變壓器故障診斷的模糊綜合診斷模型;同時(shí)作者還深入分析了模糊算子的特性;針對(duì)常用的模糊評(píng)判結(jié)果的模糊集的集化方法的不足性,提出了將模糊綜合診斷與模糊規(guī)則推理結(jié)合起來(lái)進(jìn)行故障診斷的方法,能達(dá)到較好的效果。
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 文中詳細(xì)介紹了特征量、征兆因子、隸屬函數(shù)、故障與征兆間的模糊關(guān)系、權(quán)重、診斷原則等的確定過(guò)程,然后用一個(gè)實(shí)例對(duì)這個(gè)方法進(jìn)行了驗(yàn)證,診斷結(jié)果基本與事實(shí)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動(dòng)信息的自動(dòng)診斷方法,建立了故障模式類的概念,根據(jù)模糊聚類算法確定了故障標(biāo)準(zhǔn)模式類及其頻譜特征,為在故障模式類層次上的模式識(shí)別提供了理論基礎(chǔ);研究了模糊關(guān)系診斷結(jié)果的分布規(guī)律;建立了綜合診斷實(shí)現(xiàn)了基于綜合診斷方法的多機(jī)組、多測(cè)點(diǎn)在線診斷。