本文選題：粉末成型機 + 智能診斷��； 參考：《南京理工大學(xué)》2017年碩士論文

【摘要】：智能故障診斷服務(wù)是制造裝備智能化升級的重要組成部分,是提高制造裝備故障診斷維護質(zhì)量與效率,保障其穩(wěn)定運行的有效措施。本文以HPP8500P型粉末成型機為應(yīng)用對象,研究其故障的智能化診斷方法,設(shè)計開發(fā)了大型粉末成型機嵌入式智能故障診斷系統(tǒng),實現(xiàn)其智能化故障診斷過程。首先,分析了故障診斷技術(shù)及嵌入式技術(shù)在智能故障診斷領(lǐng)域應(yīng)用的研究現(xiàn)狀,并結(jié)合粉末成型機結(jié)構(gòu)與故障特點,分析系統(tǒng)功能需求,完成了系統(tǒng)的總體方案設(shè)計。其次,針對大型粉末成型機結(jié)構(gòu)與故障特點,研究采用基于故障樹模型的智能故障診斷方法,并且融合BDD圖法與F-V最小割集重要度方法實現(xiàn)模型的定性定量分析,并提出了基于RFV排序因子的故障診斷策略制定方法,以兼顧診斷的準確性與效率,通過故障實例驗證了該方法的有效性。接著,通過模塊化設(shè)計方法搭建了系統(tǒng)現(xiàn)場智能數(shù)據(jù)終端的硬件平臺;并對系統(tǒng)現(xiàn)場智能數(shù)據(jù)終端和遠程診斷與服務(wù)平臺進行軟件設(shè)計開發(fā),實現(xiàn)了嵌入式實時操作系統(tǒng)在現(xiàn)場智能數(shù)據(jù)終端中的應(yīng)用以及基于故障樹模型的智能故障診斷方法。最后,進行了系統(tǒng)的現(xiàn)場智能數(shù)據(jù)終端和遠程診斷與服務(wù)平臺的主要功能模塊調(diào)試工作,并完成系統(tǒng)在HPP8500P型粉末成型機樣機上的整體運行。本文所研究的嵌入式智能故障診斷系統(tǒng)已初步應(yīng)用于HPP8500P型粉末成型機中,實現(xiàn)了智能化故障診斷的預(yù)期目標,促進其故障診斷智能化水平提升,對粉末成型制造裝備及其他制造裝備的智能故障診斷系統(tǒng)開發(fā)與應(yīng)用有一定的參考價值。
[Abstract]:Intelligent fault diagnosis service is an important part of intelligent upgrading of manufacturing equipment. It is an effective measure to improve the quality and efficiency of fault diagnosis and maintenance of manufacturing equipment and to ensure its stable operation. In this paper, the intelligent fault diagnosis method of HPP8500P powder molding machine is studied, and the embedded intelligent fault diagnosis system of large powder molding machine is designed and developed, and the process of intelligent fault diagnosis is realized. Firstly, the research status of fault diagnosis technology and embedded technology in intelligent fault diagnosis field is analyzed. Combining with the structure and fault characteristics of powder molding machine, the functional requirements of the system are analyzed, and the overall scheme design of the system is completed. Secondly, according to the structure and fault characteristics of large powder molding machine, the intelligent fault diagnosis method based on fault tree model is studied, and the qualitative and quantitative analysis of the model is realized by combining BDD diagram method and F-V minimum cut set importance method. A fault diagnosis strategy formulation method based on RFV ranking factor is proposed to give consideration to the accuracy and efficiency of diagnosis. The effectiveness of the method is verified by a fault example. Then, the hardware platform of the system field intelligent data terminal is built by modularization design method, and the software design and development of the system field intelligent data terminal and remote diagnosis and service platform are carried out. The application of embedded real-time operating system in field intelligent data terminal and the intelligent fault diagnosis method based on fault tree model are realized. Finally, debugging the main function modules of the intelligent data terminal and remote diagnosis and service platform of the system is carried out, and the whole operation of the system on the prototype of HPP8500P powder molding machine is completed. The embedded intelligent fault diagnosis system studied in this paper has been applied to HPP8500P powder molding machine. It realizes the expected goal of intelligent fault diagnosis and promotes its intelligent level of fault diagnosis. It has certain reference value for the development and application of intelligent fault diagnosis system for powder forming equipment and other manufacturing equipment.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP277

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