本文選題：故障診斷 + 人機(jī)協(xié)同　； 參考：《重慶大學(xué)》2015年博士論文

【摘要】：數(shù)控機(jī)床是一個(gè)集成了機(jī)械、電氣、液壓、氣壓等為一體的復(fù)雜系統(tǒng),其故障的發(fā)生具有多源性、關(guān)聯(lián)性、突發(fā)性、隨機(jī)性等特點(diǎn),只依靠傳感裝置對(duì)其進(jìn)行數(shù)據(jù)采集根本無(wú)法滿足存在大量關(guān)聯(lián)特性和監(jiān)測(cè)盲區(qū)的數(shù)控機(jī)床故障診斷的需要,因此,數(shù)控機(jī)床故障診斷不可避免的需要人的參與。對(duì)于分布區(qū)域廣泛的數(shù)控機(jī)床而言,其絕大多數(shù)故障知識(shí)都是來(lái)源于機(jī)床設(shè)計(jì)制造企業(yè)和使用用戶,因此,故障診斷經(jīng)驗(yàn)知識(shí)具有分散性特點(diǎn)。而在具體某臺(tái)數(shù)控機(jī)床故障診斷過(guò)程中,故障特征分析又必須依賴于相關(guān)理論及其它診斷歷史經(jīng)驗(yàn)作為參考。因此,集成人機(jī)協(xié)同知識(shí)、理論知識(shí)和維修維護(hù)經(jīng)驗(yàn)知識(shí)對(duì)數(shù)控機(jī)床開展故障診斷意義重大。特別地,故障診斷知識(shí)在使用過(guò)程中,隨著機(jī)床的改進(jìn)和診斷技術(shù)手段的提升,其知識(shí)的內(nèi)容和結(jié)構(gòu)是在不斷完善更新的。鑒于此,本文結(jié)合人機(jī)協(xié)同技術(shù)和知識(shí)工程技術(shù),研究面向人機(jī)協(xié)同診斷的數(shù)控機(jī)床故障診斷知識(shí)演化的核心技術(shù),并研發(fā)滾齒機(jī)床故障知識(shí)演化及人機(jī)協(xié)同智能診斷系統(tǒng),對(duì)知識(shí)演化模式、知識(shí)表示、知識(shí)推理和人機(jī)協(xié)同智能診斷技術(shù)及系統(tǒng)加以驗(yàn)證。其主要研究?jī)?nèi)容如下:針對(duì)數(shù)控機(jī)床故障人機(jī)協(xié)同智能診斷對(duì)知識(shí)演化的需求,基于對(duì)數(shù)控機(jī)床知識(shí)特點(diǎn)的分析,闡述數(shù)控機(jī)床故障知識(shí)演化過(guò)程和人機(jī)協(xié)同診斷所面對(duì)的一些問(wèn)題,定義了面向人機(jī)協(xié)同診斷數(shù)控機(jī)床故障診斷知識(shí)演化及系統(tǒng),構(gòu)建了面向人機(jī)協(xié)同診斷的數(shù)控機(jī)床故障知識(shí)演化拓?fù)浣Y(jié)構(gòu),闡述了該模式所包含的四核一點(diǎn)技術(shù)內(nèi)涵、技術(shù)框架、技術(shù)特征。針對(duì)數(shù)控機(jī)床故障診斷知識(shí)表示中結(jié)構(gòu)重組困難及擴(kuò)展性差的問(wèn)題,結(jié)合人工診斷知識(shí)特性、本體的形式化表示特點(diǎn)和膜計(jì)算的擴(kuò)展特性,提出一種基于膜計(jì)算的數(shù)控機(jī)床本體知識(shí)表示模型。包括數(shù)控機(jī)床故障診斷本體知識(shí)表示的概念模型和關(guān)系模型,通過(guò)整合得到了數(shù)控機(jī)床故障診斷知識(shí)基礎(chǔ)膜和知識(shí)規(guī)則約束條件,并對(duì)本體知識(shí)表示、人工知識(shí)的表示、隱性故障現(xiàn)象的挖掘和結(jié)構(gòu)更新進(jìn)行了分析。針對(duì)數(shù)控機(jī)床人機(jī)協(xié)同智能診斷系統(tǒng)中用于多重故障推理的知識(shí)截取困難及其驗(yàn)證效率低的問(wèn)題,對(duì)故障知識(shí)發(fā)生的級(jí)聯(lián)特性和用于推理的故障知識(shí)概念及概念關(guān)系進(jìn)行了解析,通過(guò)對(duì)推理知識(shí)的簡(jiǎn)化,構(gòu)建了面向人機(jī)協(xié)同診斷的數(shù)控機(jī)床多故障知識(shí)推理及其驗(yàn)證模型,基于該模型詳細(xì)闡述了數(shù)控機(jī)床多重故障人機(jī)協(xié)同驗(yàn)證的過(guò)程,即通過(guò)故障診斷知識(shí)特征的整合-分離-推理驗(yàn)證的反復(fù)并行運(yùn)算,結(jié)合故障知識(shí)邏輯推理和人工感知的高度協(xié)同,實(shí)現(xiàn)了人機(jī)協(xié)同診斷的數(shù)控機(jī)床多故障知識(shí)的快速準(zhǔn)確定位,最后對(duì)數(shù)控機(jī)床多故障知識(shí)推理特性進(jìn)行了分析,并通過(guò)示例進(jìn)行了驗(yàn)證�？紤]到數(shù)控機(jī)床故障信息傳感器采集和人工采集在應(yīng)用過(guò)程所形成的互補(bǔ)關(guān)系及相互驗(yàn)證功能和利用經(jīng)驗(yàn)知識(shí)形成的采集方法的實(shí)用性、通用性等因素,設(shè)計(jì)了數(shù)控機(jī)床故障知識(shí)演化及人機(jī)協(xié)同診斷系統(tǒng)。包括構(gòu)建的故障診斷知識(shí)概念、屬性、關(guān)系和規(guī)則規(guī)范,并分別對(duì)面向人機(jī)協(xié)同的數(shù)控機(jī)床故障智能診斷體系架構(gòu)和流程進(jìn)行了設(shè)計(jì),闡述了智能診斷的人機(jī)交互過(guò)程,并對(duì)系統(tǒng)評(píng)估方法進(jìn)行了介紹。最后,以滾齒機(jī)床YS3120CNC6-S的知識(shí)演化與智能診斷為例,實(shí)現(xiàn)了滾齒機(jī)床故障知識(shí)演化及人機(jī)協(xié)同診斷系統(tǒng)的研發(fā),具體包括基于本體的滾齒機(jī)床故障診斷知識(shí)收集與表示、知識(shí)庫(kù)設(shè)計(jì)與實(shí)現(xiàn)、人機(jī)協(xié)同的滾齒機(jī)床故障智能診斷系統(tǒng)演示及應(yīng)用。
[Abstract]:CNC machine tool is a complex system integrated with mechanical, electrical, hydraulic and air pressure. Its fault has many characteristics, such as multi source, connection, sudden and random. It can not meet the need of a large number of related characteristics and the fault diagnosis of the blind area. Therefore, the fault diagnosis of CNC machine tools is unavoidable. For the widely distributed NC machine tools, most of the fault knowledge comes from the machine tool design and manufacturing enterprises and the users. Therefore, the fault diagnosis experience knowledge has the dispersive characteristics. The fault feature analysis must rely on the related theories and other diagnostic historical experiences as a reference. Therefore, integrated man-machine collaborative knowledge, theoretical knowledge and maintenance experience knowledge are of great significance to the fault diagnosis of CNC machine tools. In particular, the fault diagnosis knowledge is improved and the diagnostic techniques are used in the process of use. The content and structure of its knowledge are constantly improved and updated. In view of this, this paper studies the core technology of the knowledge evolution of CNC machine tool fault diagnosis based on man-machine cooperative and knowledge engineering technology, and develops the knowledge evolution of the hobbing machine tool fault knowledge and the human machine cooperative intelligent diagnosis system, and the knowledge evolution. Model, knowledge representation, knowledge reasoning and man-machine Cooperative Intelligent Diagnosis Technology and system are verified. The main research contents are as follows: according to the requirement of the knowledge evolution of CNC machine tool fault diagnosis, the evolution process of CNC machine tool fault knowledge and the cooperative diagnosis of CNC machine tools are expounded based on the analysis of the knowledge characteristics of CNC machine tools. In the face of some problems, the knowledge evolution and system of CNC machine tool fault diagnosis oriented to man-machine cooperative diagnosis are defined, and the topology structure of fault knowledge evolution of CNC machine tool is constructed. The technical connotation, technical framework and technical features of this model are expounded, and the fault diagnosis knowledge of CNC machine tools is introduced. With the difficulty of structural reorganization and the poor expansibility, combining the characteristics of artificial diagnosis knowledge, the formal representation of the ontology and the expansion of the membrane computing, a model of ontology knowledge representation based on membrane calculation is proposed, including the conceptual model and relational model of the knowledge representation of the fault diagnosis ontology of CNC machine tools, and the integration of the conceptual model and the relational model of the NC machine tool fault diagnosis ontology is integrated. The knowledge base membrane and knowledge rule constraints are obtained for the fault diagnosis of CNC machine tools, and the representation of the ontology, the representation of the artificial knowledge, the mining of the hidden faults and the updating of the structure are analyzed. The knowledge interception and the efficiency of the verification are low for the multi barrier reasoning in the CNC machine tool cooperative intelligent diagnosis system. This paper analyzes the cascading characteristics of fault knowledge and the concept and concept relationship of fault knowledge for reasoning. By simplifying the reasoning knowledge, a multi fault knowledge reasoning and verification model for CNC machine tools is constructed. Based on this model, the multi fault man-machine coordination of CNC machine tools is elaborated in detail. The process of verification is to realize the rapid and accurate positioning of the multi fault knowledge of CNC machine tool, which is based on the iterative parallel operation of the integrated separation and reasoning verification of fault diagnosis knowledge, combined with the logic reasoning of fault knowledge and the high synergy of artificial perception. Finally, the multi fault knowledge reasoning characteristics of CNC machine tools are carried out at last. In view of the complementarity and mutual verification function formed in the application process of the fault information sensor of CNC machine tool and the practicability of the acquisition method formed by the experience knowledge, the failure knowledge evolution of the digital control machine tool and the human-computer cooperative diagnosis system are designed. It includes the concept of fault diagnosis knowledge, attributes, relations and rules, and designs the architecture and process of the intelligent diagnosis system of CNC machine tool fault. The process of human computer interaction is expounded. Finally, the knowledge of the system evaluation method is introduced. Finally, the knowledge of the hobbing machine tool YS3120CNC6-S is introduced. The evolution and intelligent diagnosis are taken as an example. The fault knowledge evolution of hobbing machine tools and the research and development of human machine cooperative diagnosis system are realized, including the knowledge collection and representation of the gear hobbing machine tool fault diagnosis based on the ontology, the design and Realization of the knowledge base, the demonstration and application of the intelligent diagnosis system of the hobbing machine tool fault.

【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：TG659

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