本文選題：空客 + A320��； 參考：《鄭州大學》2015年碩士論文

【摘要】：故障診斷是民航飛機維修中最經(jīng)常、最主要的工作,診斷的準確度、效率和提出的維修策略直接影響維修工作的整體水平。故障診斷專家系統(tǒng)是擁有專家知識、能模擬專家思維方式的軟件系統(tǒng),用來進行故障原因的自動推理,可以提高診斷的可靠性和維修的經(jīng)濟性。由于國內(nèi)關于飛機故障診斷專家系統(tǒng)的研究起步較晚,并且國外開發(fā)的系統(tǒng)技術細節(jié)都未公開,所以目前國內(nèi)關于飛機故障診斷專家系統(tǒng)關鍵技術方面的研究還較少。國內(nèi)航空公司在這方面的工作仍然以形成備忘錄、維修經(jīng)驗匯總、故障處理指南等為主,這些經(jīng)驗知識只能在出現(xiàn)類似故障時供參考,對于具體的故障現(xiàn)象仍然需要進行復雜的原理分析,不能本質(zhì)上提高維修效率。因此研究飛機故障診斷專家系統(tǒng)的關鍵技術,深入分析專家系統(tǒng)的功能、原理,對國內(nèi)飛機故障診斷技術的發(fā)展和完善,以及維修效率的提升都具有非常重要的意義。論文圍繞故障診斷專家系統(tǒng)關鍵技術進行了深入的研究,主要研究內(nèi)容如下:首先,論文研究設計了準確、完整描述系統(tǒng)原理和經(jīng)驗知識的方法,用以滿足專家系統(tǒng)對知識進行自動推理的需求,分別是用于描述部件、線路的框架知識表示法,和用于描述故障邏輯的基于產(chǎn)生式規(guī)則的知識表示法。通過上述兩種方法可以將所有知識包含到專家系統(tǒng)的知識庫中,。其次,本文在運用故障樹分析法對飛機系統(tǒng)研究和分析的基礎上,研究了自動推理的控制方式,設計了正向推理故障原因、反向推理輔助故障現(xiàn)象的綜合推理方法,并提出了優(yōu)先級法實現(xiàn)推理過程的沖突消解,并實現(xiàn)了推理過程的自動解釋。專家系統(tǒng)運行時需要進行數(shù)據(jù)的存儲和調(diào)用,本文在對數(shù)據(jù)庫知識研究的基礎上,研究設計了知識在數(shù)據(jù)庫中的的存儲方法,開發(fā)了數(shù)據(jù)庫連接技術。論文將研究的框架知識表示法、基于產(chǎn)生式規(guī)則的知識表示法及在優(yōu)先級控制下的正反向綜合推理方法應用于所開發(fā)的故障診斷專家系統(tǒng)軟件上,通過測試驗證了這些關鍵技術的正確性和可行性,研究成果對促進我國飛機故障診斷技術的發(fā)展及故障診斷專家系統(tǒng)的開發(fā)具有重要的應用價值。
[Abstract]:Fault diagnosis is the most frequent and important work in the maintenance of civil aviation aircraft. The accuracy, efficiency and maintenance strategy of the diagnosis directly affect the overall level of the maintenance work. Fault diagnosis expert system is a software system which has expert knowledge and can simulate expert thinking mode. It can be used for automatic reasoning of fault cause and can improve the reliability of diagnosis and the economy of maintenance. Because the domestic research on aircraft fault diagnosis expert system started late, and the technical details of the system developed abroad are not disclosed, there are few researches on the key technology of aircraft fault diagnosis expert system in China at present. The work of domestic airlines in this area is still dominated by the formation of memorandums, summary of maintenance experience, and guidelines on fault handling, which can only be used for reference in the event of similar failures. Complex principle analysis is still needed for the specific fault phenomenon, which can not improve the maintenance efficiency in essence. Therefore, it is of great significance to study the key technology of aircraft fault diagnosis expert system and analyze the function and principle of expert system, which is very important for the development and improvement of domestic aircraft fault diagnosis technology and the improvement of maintenance efficiency. The key technologies of fault diagnosis expert system are deeply studied in this paper. The main research contents are as follows: firstly, the method of describing the system principle and experience knowledge accurately and completely is designed. To satisfy the requirement of expert system for automatic reasoning of knowledge, it is used to describe the components, the frame knowledge representation of the circuit, and the knowledge representation based on the production rules to describe the fault logic. Through the above two methods, all knowledge can be included in the knowledge base of the expert system. Secondly, based on the research and analysis of aircraft system by using fault tree analysis, this paper studies the control mode of automatic reasoning, and designs a comprehensive reasoning method of the fault cause of forward reasoning and auxiliary fault phenomenon of reverse reasoning. The priority method is proposed to resolve the conflict of the reasoning process, and the automatic interpretation of the reasoning process is realized. The expert system needs to store and transfer the data while it is running. Based on the research of database knowledge, this paper studies and designs the storage method of knowledge in database, and develops the technology of database connection. In this paper, the framework knowledge representation, the knowledge representation based on production rules and the forward and backward integrated reasoning method under priority control are applied to the developed fault diagnosis expert system software. The correctness and feasibility of these key technologies are verified by tests. The research results have important application value in promoting the development of aircraft fault diagnosis technology and the development of fault diagnosis expert system in China.
【學位授予單位】：鄭州大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：V267

【參考文獻】

相關碩士學位論文 前1條

1 吳素平;基于故障樹分析法與模糊理論的汽車制動系統(tǒng)故障診斷研究[D];廣西大學;2004年

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本文編號：2069213