本文選題：FMEA + 本體　； 參考：《山東大學(xué)》2017年碩士論文

【摘要】：現(xiàn)代質(zhì)量管理的一項(xiàng)研究表明,高質(zhì)量的產(chǎn)品都是通過(guò)事前采取措施預(yù)防質(zhì)量問(wèn)題的發(fā)生,而不是通過(guò)事后檢測(cè)來(lái)改進(jìn)質(zhì)量。因此,在產(chǎn)品設(shè)計(jì)之初就考慮產(chǎn)品的質(zhì)量,對(duì)企業(yè)來(lái)講至關(guān)重要。潛在失效模式與影響分析(PotentialFailure Mode and Effect Analysis,FMEA)就是一種典型的事前預(yù)防的可靠性分析方法,它從衡量產(chǎn)品或系統(tǒng)潛在故障的角度評(píng)估其可靠性程度,并將這些故障信息作為設(shè)計(jì)規(guī)劃人員以及工藝人員預(yù)防失效與改進(jìn)方案的依據(jù)。因此,準(zhǔn)確、高效的FMEA分析對(duì)提高產(chǎn)品的質(zhì)量具有重要的意義。本文智能化FMEA主要從FMEA知識(shí)建模、知識(shí)檢索以及風(fēng)險(xiǎn)評(píng)估等幾個(gè)方面來(lái)展開(kāi)研究。首先,深入分析了 FMEA知識(shí)的特點(diǎn),提出了一種基于本體的FMEA知識(shí)表示框架。將FMEA本體分為FMEA對(duì)象、功能、失效分析、FMEA團(tuán)隊(duì)四類(lèi)核心概念,詳細(xì)分析了這四類(lèi)核心概念中主要的概念以及屬性關(guān)系,建立了FMEA本體頂層概念的本體主模型,為后續(xù)FMEA知識(shí)的檢索和重用奠定了基礎(chǔ)。其次,針對(duì)目前常用的檢索技術(shù)存在的缺陷,對(duì)基于本體的FMEA知識(shí)檢索方法進(jìn)行了研究,并提出了一種綜合考慮語(yǔ)義距離、語(yǔ)義屬性、語(yǔ)義重合度、語(yǔ)義深度、語(yǔ)義密度等因素的改進(jìn)的語(yǔ)義相似度計(jì)算方法,最后針對(duì)內(nèi)燃機(jī)活塞本體知識(shí)模型對(duì)該計(jì)算方法的有效性進(jìn)行了驗(yàn)證。再次,通過(guò)分析目前FMEA風(fēng)險(xiǎn)評(píng)估方法存在的問(wèn)題,提出基于模糊共因失效分析的FMEA風(fēng)險(xiǎn)評(píng)估方法的模型,該模型綜合采用三角模糊數(shù)、灰色關(guān)聯(lián)分析和決策試驗(yàn)與評(píng)價(jià)實(shí)驗(yàn)室法對(duì)失效模式的風(fēng)險(xiǎn)進(jìn)行排序,既考慮了風(fēng)險(xiǎn)評(píng)估因子的模糊性,又考慮了失效模式和失效原因間的影響關(guān)系,使得排序結(jié)果更加符合工程實(shí)際。最后,基于上述研究,以中國(guó)航天山東山大華天軟件有限公司的產(chǎn)品全生命周期管理系統(tǒng)——InforCenterPLM為基礎(chǔ),設(shè)計(jì)實(shí)現(xiàn)了系統(tǒng)中有關(guān)智能化FMEA的相關(guān)功能,并在某機(jī)械制造企業(yè)中的FMEA分析中得到成功的應(yīng)用驗(yàn)證。
[Abstract]:A study of modern quality management shows that high quality products are improved by taking prior measures to prevent the occurrence of quality problems, rather than by testing afterwards. Therefore, it is very important for enterprises to consider the quality of products at the beginning of product design. Potential failure mode and impact analysis potential failure Mode and Effect Analysis (FMEA) is a typical pre-prevention reliability analysis method, which evaluates the degree of reliability of a product or system from the point of view of measuring potential failures. The fault information is used as the basis for the design planners and process personnel to prevent and improve the failure. Therefore, accurate and efficient FMEA analysis is of great significance to improve the quality of products. In this paper, intelligent FMEA is studied from several aspects, such as FMEA knowledge modeling, knowledge retrieval and risk assessment. Firstly, the characteristics of FMEA knowledge are analyzed in depth, and an ontology-based FMEA knowledge representation framework is proposed. The FMEA ontology is divided into four core concepts: FMEA object, function and failure analysis. The main concepts and attributes of the four core concepts are analyzed in detail, and the main ontology model of the top-level concept of FMEA ontology is established. It lays a foundation for the retrieval and reuse of FMEA knowledge. Secondly, aiming at the defects of the commonly used retrieval technology, this paper studies the Ontology-based FMEA knowledge retrieval method, and proposes a semantic knowledge retrieval method which considers the semantic distance, semantic attributes, semantic coincidence degree and semantic depth. An improved semantic similarity calculation method based on semantic density and other factors is presented. Finally, the validity of this method is verified by the piston ontology knowledge model of internal combustion engine. Thirdly, by analyzing the problems existing in the current FMEA risk assessment method, a model of FMEA risk assessment method based on fuzzy common cause failure analysis is proposed. The grey relational analysis and the laboratory method of decision testing and evaluation are used to rank the risk of failure mode, which not only considers the fuzziness of risk assessment factor, but also considers the influence relationship between failure mode and failure reason. The sequencing results are more in line with the engineering practice. Finally, based on the above research, based on the product life cycle management system of China Aerospace Shandong Shanda Huatian Software Co., Ltd., this paper designs and implements the related functions of intelligent FMEA in the system. It has been successfully applied in the FMEA analysis of a mechanical manufacturing enterprise.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TH186

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