本文選題：大型礦用挖掘機　切入點：故障維修數據　出處：《電子科技大學》2015年碩士論文

【摘要】：大型礦用挖掘機作為礦山開采及工程施工中的重要工程機械,其應用廣泛、創(chuàng)造價值高,代表了一個國家的礦山開采能力和整體技術水平,也反映了一個國家裝備制造業(yè)的總體水平。隨著世界經濟的快速發(fā)展,露天礦山的開采規(guī)模也迅速擴大,隨之出現(xiàn)的是大量的開采事故和挖掘機故障問題。因此,研究大型礦用挖掘機的可靠性問題,對提升我國礦山機械的國際競爭力,保障國家礦產資源高效、安全的開發(fā)利用具有十分重要意義。本文從大型礦用挖掘機可靠性分析及設計關鍵技術項目出發(fā),重點研究了大型礦用挖掘機的可靠性評估與分配技術,主要開展了以下幾個方面的研究工作:(1)在廣泛查閱相關文獻的基礎上,結合可靠性分析工作的需求,對大型礦用挖掘機及其子系統(tǒng)的的功能結構進行層次劃分,明確各個組部件的組成和功能,為開展可靠性分析及后續(xù)工作打下基礎。(2)從大型礦用挖掘機的設計和工作過程出發(fā),收集其故障維修數據,進行大型礦用挖掘機故障模式和影響分析(Failure Modes and Effects Analysis,FMEA),找出挖掘機各子系統(tǒng)所有可能出現(xiàn)的故障模式和失效機理,并分析故障原因及導致的不良后果,確定其在設計和制造過程中的薄弱環(huán)節(jié)、關鍵子系統(tǒng)和零部件等。(3)針對大型礦用挖掘機可靠性數據稀缺的問題,采用其故障維修數據進行統(tǒng)計分析,并在此基礎上進行可靠性評估工作。在對故障維修數據進行分析處理后,統(tǒng)計故障間隔時間數據,采取核密度估計方法進行失效概率值計算,進而估計分布函數的參數。在得到可靠性分布函數的基礎上,進行可靠性指標的制定和計算,完成對大型礦用挖掘機的可靠性評估工作。該評估方法直接基于客觀故障數據,避免了以往方法的主觀因素影響,有較強的工程運用價值。(4)結合大型礦用挖掘機故障模式和影響分析,對挖掘機的關鍵子系統(tǒng)和部件進行可靠性分配。在對故障維修數據進行分析處理的基礎上,統(tǒng)計出每個關鍵子系統(tǒng)和部件的故障頻率和平均維修時間(Mean Time To Repair,MTTR),并以此作為可靠性分配影響因素,計算分配因子,最后采用熵值法進行加權計算。同時選取平均故障間隔時間(Mean Time Between Failure,MTBF)作為分配指標,完成對大型礦用挖掘機關鍵子系統(tǒng)和部件的可靠性分配,相比以往方法有更好的直觀性和簡便性,更適合于實際工程中的運用。
[Abstract]:As an important construction machinery in mining and engineering construction, large mining excavator is widely used and creates high value, which represents the mining capacity and overall technical level of a country. It also reflects the general level of a country's equipment manufacturing industry. With the rapid development of the world economy, the mining scale of open-pit mines has expanded rapidly, and a large number of mining accidents and excavator failures have followed. The study of the reliability of large excavators will improve the international competitiveness of mining machinery in China and ensure the high efficiency of national mineral resources. It is of great significance to develop and utilize safely. Based on the key technical items of reliability analysis and design of large mine excavators, this paper focuses on the reliability evaluation and distribution technology of large excavators. On the basis of extensive reference to relevant documents and the requirement of reliability analysis, the functional structure of large excavator and its sub-system is divided into different levels. Make clear the composition and function of each group, lay a foundation for reliability analysis and follow up work. (2) from the design and working process of large excavator, collect the data of fault maintenance. The failure mode and influence analysis of large mine excavator are carried out. The failure mode and failure mechanism of every subsystem of excavator are found out, and the causes of failure and the adverse consequences are analyzed. Determine its weak links in the process of design and manufacture, key subsystems and components, etc.) in view of the shortage of reliability data of large excavators, use its fault maintenance data for statistical analysis. After analyzing and processing the fault maintenance data, the fault interval time data are counted, and the failure probability value is calculated by using the kernel density estimation method. Then the parameters of the distribution function are estimated. Based on the reliability distribution function, the reliability index is worked out and calculated, and the reliability evaluation of large excavator is completed. The evaluation method is based on the objective fault data directly. It avoids the influence of subjective factors of previous methods and has strong engineering application value. 4) combined with fault mode and influence analysis of large mine excavators, The key subsystems and components of the excavator are assigned reliably. On the basis of the analysis and processing of the fault maintenance data, The failure frequency and average maintenance time of each key subsystem and component are calculated, and the distribution factor is calculated as the influence factor of reliability distribution. In the end, the entropy method is used to calculate the reliability of the key subsystems and components of the large mine excavator, and the mean Time Between failure time (MTBF) is chosen as the allocation index. Compared with the previous methods, the method is more intuitive and convenient, and more suitable for practical engineering.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TD422.2

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本文編號：1657754