本文選題：維修管理 + 預(yù)防性維修��； 參考：《電子科技大學(xué)》2011年碩士論文

【摘要】：隨著科技的高速發(fā)展,各種設(shè)備系統(tǒng)的結(jié)構(gòu)越來越復(fù)雜,傳統(tǒng)的預(yù)防性維修已經(jīng)滿足不了現(xiàn)代維修管理的需求。作為一種先進的預(yù)防性維修管理思想,視情維修受到了越來越多的重視。本文對視情維修進行了概述,并且對基于設(shè)備故障率評估的視情維修策略進行了理論和應(yīng)用上的研究,主要研究內(nèi)容如下: 在一般性的視情維修基本決策過程的基礎(chǔ)上,加入了故障檔案這一概念,提出了能夠使得視情維修決策越來越精確的視情維修決策流程圖。本文主要應(yīng)用比例風(fēng)險模型來建立設(shè)備系統(tǒng)在運行過程中狀態(tài)信息和設(shè)備故障率之間的數(shù)學(xué)模型,選擇了威布爾分布作為比例風(fēng)險模型的基本風(fēng)險函數(shù),根據(jù)威布爾函數(shù)分布的特性推導(dǎo)出了兩參數(shù)威布爾比例風(fēng)險模型,并且在構(gòu)造故障率密度函數(shù)的基礎(chǔ)上利用牛頓-拉夫森迭代來計算未知參數(shù)值。分別從基于系統(tǒng)最大可用度和基于系統(tǒng)運行平均費用最優(yōu)的角度,給出基于威布爾比例風(fēng)險模型視情維修決策的過程,根據(jù)收集到的軸承系統(tǒng)振動幅值信號,進行了實例應(yīng)用。 目前的視情維修策略大多是在能夠收集到大量當(dāng)前運行的設(shè)備系統(tǒng)狀態(tài)信息的基礎(chǔ)上進行建模的,忽略了實際工程中可能因為監(jiān)測數(shù)據(jù)的缺乏而不能對設(shè)備系統(tǒng)進行及時的視情維修管理。因此在考慮了在實際工程應(yīng)用中由于監(jiān)測數(shù)據(jù)缺乏,導(dǎo)致設(shè)備系統(tǒng)不能及時進行視情維修決策的基礎(chǔ)上,提出了一種基于同類型系統(tǒng)監(jiān)測數(shù)據(jù)不足的視情維修策略,并給出了具體的視情維修過程。 最后利用齒輪頻率譜增長指數(shù)對某齒輪全壽命試驗中收集到的原始信號進行處理,得到了能夠揭示同類型齒輪真實運行狀態(tài)的特征信息,同時根據(jù)試驗過程中的事件數(shù)據(jù)建立齒輪的威布爾比例風(fēng)險模型,在以系統(tǒng)最大可用度為維修目標(biāo)的情況下做出了同類型齒輪的視情維修決策。
[Abstract]:With the rapid development of science and technology, the structure of various equipment systems is becoming more and more complex. The traditional preventive maintenance can not meet the needs of modern maintenance management. As an advanced idea of preventive maintenance management, more and more attention has been paid to situational maintenance. In this paper, the maintenance strategy based on the equipment failure rate evaluation is summarized, and the theory and application of the maintenance strategy are studied. The main research contents are as follows: on the basis of the general decision process of situational maintenance, the concept of fault file is added, and a flowchart of situational maintenance decision is presented, which can make the decision of situational maintenance more and more accurate. In this paper, the proportional risk model is used to establish the mathematical model between the state information and the failure rate of the equipment system in the operation process, and the Weibull distribution is chosen as the basic risk function of the proportional risk model. According to the characteristics of Weibull function distribution, a two-parameter Weibull proportional risk model is derived, and the Newton-Raphson iteration is used to calculate the unknown parameter value on the basis of constructing the failure rate density function. From the point of view of the maximum availability of the system and the optimal average operating cost of the system, the process of maintenance decision based on Weibull proportional risk model is given, and the vibration amplitude signals of the bearing system are collected for an example. Most of the current maintenance strategies are based on the ability to collect a large number of currently running equipment system state information. It is neglected that the equipment system can not be managed according to the situation because of the lack of monitoring data in actual engineering. Therefore, on the basis of considering the lack of monitoring data in practical engineering application, the equipment system is unable to make timely maintenance decision, and a maintenance strategy based on the lack of monitoring data of the same type system is put forward. The specific maintenance process is given. Finally, the original signal collected in the whole life test of a gear is processed by using the growth index of the gear frequency spectrum, and the characteristic information which can reveal the true running state of the same type gear is obtained. At the same time, the Weibull proportional risk model of gear is established according to the event data during the experiment, and the maintenance decision of the same type gear is made under the condition that the maximum availability of the system is taken as the maintenance target.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2011
【分類號】：TH186

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本文編號：2063191