本文關(guān)鍵詞： 知識管理 故障診斷 滾齒機　出處：《重慶大學(xué)》2011年碩士論文　論文類型：學(xué)位論文

【摘要】：在工業(yè)企業(yè)轉(zhuǎn)型升級的迫切需求下,生產(chǎn)設(shè)備的故障診斷技術(shù)正成為制造業(yè)服務(wù)化的重要研究方向,成為企業(yè)提高用戶滿意度、提升競爭力的重點內(nèi)容。信息技術(shù)的發(fā)展推動著傳統(tǒng)制造業(yè)向服務(wù)的轉(zhuǎn)型,為故障診斷技術(shù)提供了有效手段。在這種背景下,信息和知識已經(jīng)成為競爭性資產(chǎn),所以,在信息化的基礎(chǔ)上針對設(shè)備故障診斷領(lǐng)域開展知識管理,不僅會提升服務(wù)質(zhì)量,也會帶來顯著的經(jīng)濟效益。滾齒機作為公認(rèn)的最復(fù)雜的工作母機之一,在各種機械制造業(yè)中應(yīng)用廣泛,其故障維修具有涉及地域廣、技術(shù)要求高、對工作經(jīng)驗依賴性強等特點,而由于滾齒機生產(chǎn)廠家管理水平不高,造成了大量的維修數(shù)據(jù)與記錄處于閑置或低利用狀態(tài)。因此,本文以滾齒機的故障診斷領(lǐng)域為研究對象開展知識管理的研究,以達(dá)到維修知識共享和知識利用最大化的目的,滿足用戶簡化工作量、及時有效排除故障的需求。 首先,系統(tǒng)地分析了滾齒機的結(jié)構(gòu)及其工作狀態(tài),針對故障的層次性、多源性和相關(guān)性等特點,提出了一種面向滾齒機故障診斷領(lǐng)域的知識管理框架,該知識管理框架以資源層為支撐,通過實施層予以實現(xiàn),在應(yīng)用層得到驗證。在此基礎(chǔ)上,設(shè)計了知識管理的流程。 其次,從滾齒機故障診斷的知識表示、知識獲取、知識存儲和知識維護(hù)等四個方面對知識管理的關(guān)鍵技術(shù)進(jìn)行研究。針對滾齒機故障診斷維修的特點,提出了基于本體的知識表示方法,形式化地定義了滾齒機本體概念、屬性、關(guān)系、實例和規(guī)則等基本要素,建立了滾齒機故障診斷的本體模型;在該本體模型的基礎(chǔ)上,本文使用人工獲取和計算機識別更新結(jié)合的半自動化知識獲取方法,將故障信息結(jié)構(gòu)化;采用了基于OWL文檔的知識存儲方法,更易于知識維護(hù)和更新;為適應(yīng)本體動態(tài)性的變化,采用本體推理機FaCT++工具對知識庫進(jìn)行推理檢驗,確保了知識庫的完備性和一致性。 最后,針對以上理論和實現(xiàn)方法的研究,對相關(guān)關(guān)鍵技術(shù)進(jìn)行了實現(xiàn),開發(fā)了面向滾齒機故障診斷領(lǐng)域的知識管理原型系統(tǒng),驗證本文提出方法的可行性和實用性。
[Abstract]:Under the urgent need of the transformation and upgrading of industrial enterprises, the fault diagnosis technology of production equipment is becoming an important research direction of manufacturing service-oriented, and it has become an enterprise to improve customer satisfaction. The development of information technology promotes the transformation of traditional manufacturing industry to service, and provides an effective means for fault diagnosis technology. In this context, information and knowledge have become competitive assets. Therefore, on the basis of information technology, knowledge management in the field of equipment fault diagnosis will not only improve the quality of service, but also bring significant economic benefits. Gear hobbing machine is recognized as one of the most complex working mother machine. It is widely used in various mechanical manufacturing industries, and its fault maintenance has the characteristics of wide area, high technical requirements and strong dependence on working experience. However, the management level of gear hobbing machine manufacturers is not high. As a result of a large number of maintenance data and records are idle or low utilization. Therefore, this paper takes the fault diagnosis field of gear hobbing machine as the research object to carry out the research of knowledge management. In order to achieve the purpose of sharing maintenance knowledge and maximizing the utilization of knowledge, it can meet the needs of users to simplify the workload and to troubleshoot faults in a timely and effective manner. Firstly, the structure and working state of gear hobbing machine are analyzed systematically. According to the characteristics of fault hierarchy, multi-source and relativity, a knowledge management framework for fault diagnosis of gear hobbing machine is proposed. The knowledge management framework is supported by the resource layer, implemented by the implementation layer, and verified in the application layer. On this basis, the process of knowledge management is designed. Secondly, the key technologies of knowledge management are studied from four aspects: knowledge representation, knowledge acquisition, knowledge storage and knowledge maintenance. The knowledge representation method based on ontology is proposed, and the basic elements of gear hobbing machine ontology such as concept, attributes, relations, examples and rules are formally defined, and the ontology model of gear hobbing machine fault diagnosis is established. Based on the ontology model, this paper uses semi-automatic knowledge acquisition method which combines manual acquisition and computer identification update to structure fault information. The knowledge storage method based on OWL document is adopted, which is easier to maintain and update knowledge. In order to adapt to the change of ontology dynamics, the ontology reasoning engine (FaCT) is used to test the knowledge base, which ensures the completeness and consistency of the knowledge base. Finally, according to the research of the above theory and implementation method, the related key technologies are implemented, and a knowledge management prototype system for hobbing machine fault diagnosis field is developed. The feasibility and practicability of the proposed method are verified.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2011
【分類號】：TH165.3

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