面向滾齒機(jī)故障診斷的知識(shí)管理方法及應(yīng)用研究
本文關(guān)鍵詞: 知識(shí)管理 故障診斷 滾齒機(jī) 出處:《重慶大學(xué)》2011年碩士論文 論文類(lèi)型:學(xué)位論文
【摘要】:在工業(yè)企業(yè)轉(zhuǎn)型升級(jí)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(jìng)爭(zhēng)力的重點(diǎn)內(nèi)容。信息技術(shù)的發(fā)展推動(dòng)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(shí)已經(jīng)成為競(jìng)爭(zhēng)性資產(chǎn),所以,在信息化的基礎(chǔ)上針對(duì)設(shè)備故障診斷領(lǐng)域開(kāi)展知識(shí)管理,不僅會(huì)提升服務(wù)質(zhì)量,也會(huì)帶來(lái)顯著的經(jīng)濟(jì)效益。滾齒機(jī)作為公認(rèn)的最復(fù)雜的工作母機(jī)之一,在各種機(jī)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(duì)工作經(jīng)驗(yàn)依賴(lài)性強(qiáng)等特點(diǎn),而由于滾齒機(jī)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(jī)的故障診斷領(lǐng)域?yàn)檠芯繉?duì)象開(kāi)展知識(shí)管理的研究,以達(dá)到維修知識(shí)共享和知識(shí)利用最大化的目的,滿足用戶簡(jiǎn)化工作量、及時(shí)有效排除故障的需求。 首先,系統(tǒng)地分析了滾齒機(jī)的結(jié)構(gòu)及其工作狀態(tài),針對(duì)故障的層次性、多源性和相關(guān)性等特點(diǎn),提出了一種面向滾齒機(jī)故障診斷領(lǐng)域的知識(shí)管理框架,該知識(shí)管理框架以資源層為支撐,通過(guò)實(shí)施層予以實(shí)現(xiàn),在應(yīng)用層得到驗(yàn)證。在此基礎(chǔ)上,設(shè)計(jì)了知識(shí)管理的流程。 其次,從滾齒機(jī)故障診斷的知識(shí)表示、知識(shí)獲取、知識(shí)存儲(chǔ)和知識(shí)維護(hù)等四個(gè)方面對(duì)知識(shí)管理的關(guān)鍵技術(shù)進(jìn)行研究。針對(duì)滾齒機(jī)故障診斷維修的特點(diǎn),提出了基于本體的知識(shí)表示方法,形式化地定義了滾齒機(jī)本體概念、屬性、關(guān)系、實(shí)例和規(guī)則等基本要素,建立了滾齒機(jī)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(jì)算機(jī)識(shí)別更新結(jié)合的半自動(dòng)化知識(shí)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(shí)存儲(chǔ)方法,更易于知識(shí)維護(hù)和更新;為適應(yīng)本體動(dòng)態(tài)性的變化,采用本體推理機(jī)FaCT++工具對(duì)知識(shí)庫(kù)進(jìn)行推理檢驗(yàn),確保了知識(shí)庫(kù)的完備性和一致性。 最后,針對(duì)以上理論和實(shí)現(xiàn)方法的研究,對(duì)相關(guān)關(guān)鍵技術(shù)進(jìn)行了實(shí)現(xiàn),開(kāi)發(fā)了面向滾齒機(jī)故障診斷領(lǐng)域的知識(shí)管理原型系統(tǒng),驗(yàn)證本文提出方法的可行性和實(shí)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(jí)別】:碩士
【學(xué)位授予年份】:2011
【分類(lèi)號(hào)】:TH165.3
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 高金吉;機(jī)泵群實(shí)時(shí)監(jiān)測(cè)網(wǎng)絡(luò)和故障診斷專(zhuān)家系統(tǒng)[J];中國(guó)工程科學(xué);2001年09期
2 張勤;徐緒松;;共詞分析法與可視化技術(shù)的結(jié)合:揭示國(guó)外知識(shí)管理研究結(jié)構(gòu)[J];管理工程學(xué)報(bào);2008年04期
3 趙韓;梁平;劉瓊;;關(guān)系數(shù)據(jù)庫(kù)、對(duì)象數(shù)據(jù)庫(kù)和XML本源數(shù)據(jù)庫(kù)存儲(chǔ)BOM的比較[J];機(jī)床與液壓;2006年04期
4 楊叔子;史鐵林;;和諧制造:制造走向制造與服務(wù)一體化[J];江蘇大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年03期
5 劉飛;;“十二五”八字構(gòu)想[J];中國(guó)制造業(yè)信息化;2009年14期
6 賈凱;;科技支撐發(fā)展 技術(shù)引領(lǐng)進(jìn)步——楊海成解讀“十二五”制造業(yè)信息化科技工程[J];中國(guó)制造業(yè)信息化;2011年02期
7 陳小讓;知識(shí)管理:知識(shí)經(jīng)濟(jì)時(shí)代企業(yè)管理的新趨勢(shì)[J];科技情報(bào)開(kāi)發(fā)與經(jīng)濟(jì);1998年06期
8 張智雄;;從RDF(S)到OWL,什么在改變之中?[J];圖書(shū)館雜志;2005年01期
9 王衍行;;知識(shí)管理:一種新的管理模式[J];學(xué)術(shù)交流;2006年11期
10 王道平,馬少平;故障診斷系統(tǒng)中深淺知識(shí)集成表示方法的研究[J];小型微型計(jì)算機(jī)系統(tǒng);2001年09期
相關(guān)碩士學(xué)位論文 前2條
1 段洪秀;一種基于關(guān)系數(shù)據(jù)庫(kù)的XML文檔存儲(chǔ)和查詢的方法[D];山西大學(xué);2006年
2 許楚鑾;基于本體的設(shè)備維護(hù)知識(shí)表示與檢索研究[D];湖南大學(xué);2009年
,本文編號(hào):1457888
本文鏈接:http://sikaile.net/kejilunwen/jixiegongcheng/1457888.html