發(fā)布時間：2018-04-13 03:29

  本文選題：動力設(shè)備 + 旋轉(zhuǎn)機械��； 參考：《華北電力大學（北京）》2011年碩士論文

【摘要】：電廠及電力企業(yè)的重要組成部分是電力設(shè)備,其中絕大多數(shù)電力設(shè)備是旋轉(zhuǎn)機械,旋轉(zhuǎn)機械對企業(yè)的生產(chǎn)起著舉足輕重的作用,監(jiān)測設(shè)備運行狀態(tài)并對有故障的設(shè)備及時診斷可以避免造成經(jīng)濟損失防止人身危害,專家系統(tǒng)故障診斷利用計算機模擬人類專家進行診斷,能夠快速準確地找出故障,減小企業(yè)的損失,因此研究旋轉(zhuǎn)機械振動診斷專家系統(tǒng)有著重大的意義。 本文是應用C++Builder及Access數(shù)據(jù)庫開發(fā)設(shè)計旋轉(zhuǎn)機械振動診斷專家系統(tǒng),旋轉(zhuǎn)機械重要部件包括轉(zhuǎn)子、軸承、齒輪和電機四部分,設(shè)置各部件的參數(shù)并計算其故障頻率,存儲到設(shè)備屬性庫中；歸納總結(jié)各個部件的典型故障特征、故障原因及消除故障的措施,以產(chǎn)生式規(guī)則的形式存儲到Access數(shù)據(jù)表中形成診斷知識庫；應用正反向混合推理的方法進行診斷,在進行故障診斷時,首先輸入信號,通過對旋轉(zhuǎn)機械部件轉(zhuǎn)子、軸承、齒輪的振動信號進行頻譜分析,識別出診斷對象的故障征兆,主要是故障頻率及其振幅,然后對應地搜索存儲于診斷知識庫中的診斷知識,根據(jù)診斷對象故障特征的復雜度不同,進行正向推理或正反向推理,得出診斷結(jié)果即故障類型,列出診斷的依據(jù)和消除故障的措施,并且形成了診斷報告。系統(tǒng)通過對轉(zhuǎn)子、軸承、齒輪四個診斷實例驗證,說明了利用C++Builder及Access數(shù)據(jù)庫具有的各種強大功能,開發(fā)設(shè)計的振動診斷專家系統(tǒng),設(shè)計合理、科學,診斷界面友好,診斷知識豐富,維護管理方便,能夠準確快速地診斷部件的常見故障。
[Abstract]:The important component of power plants and power enterprises is electric power equipment, most of which are rotating machinery, which plays an important role in the production of enterprises.Monitoring the running status of the equipment and diagnosing the faulty equipment in time can avoid the economic loss and prevent personal harm. The expert system fault diagnosis can quickly and accurately find out the fault by using the computer to simulate the human experts to diagnose,Therefore, it is of great significance to study the vibration diagnosis expert system of rotating machinery.In this paper, an expert system for vibration diagnosis of rotating machinery is developed by using C Builder and Access database. The important parts of rotating machinery include rotor, bearing, gear and motor. The parameters of each component are set and its fault frequency is calculated.It is stored in the device attribute database, the typical fault characteristics of each component, the cause of the fault and the measures to eliminate the fault are summarized, and the diagnosis knowledge base is formed in the form of the production rule in the Access data table.The method of forward and backward hybrid reasoning is used to diagnose the fault. When fault diagnosis is carried out, the signal is input first, and the vibration signals of rotor, bearing and gear of rotating machinery are analyzed by spectrum analysis, and the fault symptoms of the diagnostic object are identified by analyzing the frequency spectrum of the vibration signals of the rotor, bearing and gear of the rotating machinery.The fault frequency and its amplitude are mainly used, and then the diagnosis knowledge stored in the diagnosis knowledge base is searched correspondingly. According to the complexity of fault characteristics of the diagnosis object, forward or backward reasoning is carried out, and the diagnosis result is called fault type.List the basis for diagnosis and troubleshooting measures, and form a diagnostic report.The system is verified by four diagnostic examples of rotor, bearing and gear. It shows that the vibration diagnosis expert system developed by using C Builder and Access database has reasonable design, scientific design and friendly diagnosis interface.The diagnosis knowledge is rich, the maintenance management is convenient, can diagnose the common fault of the component accurately and quickly.
【學位授予單位】：華北電力大學（北京）
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH165.3;TP182

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