基于PHM的備件配置問題研究
發(fā)布時間：2019-06-27 13:35
【摘要】：復雜系統(tǒng)的預(yù)測與健康管理（簡稱PHM）是當前可靠性領(lǐng)域中極其重要的研究熱點，它的主要思想是實現(xiàn)系統(tǒng)保障從狀態(tài)監(jiān)控向狀態(tài)管理的轉(zhuǎn)變，進而主動地關(guān)注系統(tǒng)所面臨的故障及退化風險，以便進行系統(tǒng)的健康管理�；赑HM技術(shù)的備件配置問題就是在此基礎(chǔ)上提出的，這能夠合理有效的降低維修次數(shù)、減少使用和保障費用，從而實現(xiàn)經(jīng)濟的可承受性。因此，本論文具有非常重要的理論與現(xiàn)實意義。本論文將研究主要內(nèi)容集中于備件配置的三個方面：傳感器系統(tǒng)的優(yōu)化布局與其可靠性模型，它能夠獲取復雜系統(tǒng)運行的數(shù)據(jù)信息，為建立備件配置模型提供依據(jù)；以馬爾可夫和半馬爾可夫兩類可修系統(tǒng)為基礎(chǔ)，建立備件配置模型，它是論文的核心內(nèi)容；構(gòu)建備件配置評估模型，它是系統(tǒng)維修保障能力評估的重要內(nèi)容。所有這些研究結(jié)果均具有很好的原創(chuàng)性，為PHM在復雜系統(tǒng)中的更好應(yīng)用奠定必要的基礎(chǔ)。本論文的研究工作主要有以下幾個方面： 第一，根據(jù)被研究部件所處的環(huán)境、性能參數(shù)（如振動、位移、速度、溫度、聲響、流量等）以及其他信息，選擇合適的傳感器類型，通過多個傳感器進行數(shù)據(jù)融合，可以獲得穩(wěn)定有效的數(shù)據(jù)信息。影響傳感器的需求量有很多的因素，可以針對不同層次（系統(tǒng)，子系統(tǒng)等復雜系統(tǒng)層次）和不同類型的傳感器，建立多目標規(guī)劃，并對傳感器的優(yōu)化布局進行研究，同時，確定優(yōu)化目標函數(shù)以及優(yōu)化配置準則。為了使傳感器系統(tǒng)達到最佳效果，論文還建立了多傳感器系統(tǒng)的冗余結(jié)構(gòu)，并對其建立可靠性模型。 第二，通過傳感器獲得系統(tǒng)各個層次的監(jiān)測數(shù)據(jù)，然后對獲取數(shù)據(jù)進行處理與分析，并對由重要部件構(gòu)成的系統(tǒng)和具有狀態(tài)漸變或聚合特征的系統(tǒng)，且滿足PHM費效比條件的系統(tǒng)，進行PHM體系構(gòu)建。在此基礎(chǔ)上，對不可修系統(tǒng)建立了備件配置優(yōu)化模型。由于技術(shù)、經(jīng)濟以及系統(tǒng)本身的原因，組成系統(tǒng)的部件發(fā)生故障時，模型可以運用更新過程對系統(tǒng)運行過程進行描述，同時，建立不可修系統(tǒng)的備件配置模型，并給出備件需求量。 第三．構(gòu)建基于馬爾可夫和半馬爾可夫過程的備件配置模型。對重要部件構(gòu)成的系統(tǒng)或具有狀態(tài)漸變、狀態(tài)聚合特征的系統(tǒng)，且滿足PHM費效比條件的系統(tǒng)，構(gòu)建PHM系統(tǒng)�？尚尴到y(tǒng)發(fā)生的故障是由于部件缺陷不斷發(fā)展和系統(tǒng)損傷累積的結(jié)果，據(jù)此，假設(shè)系統(tǒng)有兩種失效模式，安全失效和危險失效，運用離子通道理論構(gòu)建模型，并給出備件配置公式。將模型進一步擴展為三個狀態(tài)集，工作狀態(tài)集，故障狀態(tài)集以及中間狀態(tài)集，以馬爾可夫和半馬爾可夫兩類可修系統(tǒng)為基礎(chǔ)，運用聚合隨機過程描述這一過程，給出備件配置公式以及其他相關(guān)的可靠性指標。 第四，在PHM技術(shù)的基礎(chǔ)上，根據(jù)基于PHM技術(shù)構(gòu)建的備件配置模型得到的備件需求量，建立備件配置的評估模型，為維修保障決策提供理論依據(jù)，從而提高系統(tǒng)保障任務(wù)的成功概率，并判斷備件配置模型得到的備件需求量是否滿足系統(tǒng)需求。論文假設(shè)在規(guī)定的周期內(nèi)，當部件失效或者被損壞后，通過更新過程和排隊理論分別對可修系統(tǒng)和不可修系統(tǒng)分別建立現(xiàn)有備件配置的評估模型，并得到了部件壽命分布為指數(shù)、正態(tài)、威布爾、伽瑪分布構(gòu)成的可修系統(tǒng)的各個評估模型。 本論文的研究結(jié)果應(yīng)用前景優(yōu)良，可較大地促進可靠性的發(fā)展，，為提高復雜系統(tǒng)的可用度、降低其全壽命周期費用均具有重要的作用，同時，一些研究結(jié)果可廣泛應(yīng)用于管理科學與工程的其它方面，研究工作也可擴大我國在可靠性領(lǐng)域的國際學術(shù)影響。
[Abstract]:The prediction and health management of complex system (PHM) is one of the most important research hotspots in the current reliability field. Its main idea is to realize the transition of the system guarantee from the state monitoring to the state management, and to actively pay attention to the fault and the degradation risk of the system. So as to carry out the health management of the system. The problem of the configuration of the spare parts based on the PHM technology is based on this, which can reduce the number of maintenance reasonably and effectively, reduce the use and guarantee the cost, and realize the affordability of the economy. Therefore, this paper has very important theoretical and practical significance. This paper focuses on three aspects of the configuration of the spare parts: the optimal layout and the reliability model of the sensor system, which can obtain the data information of the complex system operation and provide the basis for the establishment of the spare parts configuration model; On the basis of the two kinds of repairable systems of Markov and semi-Markov, the model of spare parts configuration is set up, which is the core content of the paper, and the evaluation model of the configuration of the spare parts is constructed. It is an important part of the evaluation of the system maintenance and guarantee ability. All these studies have good originality and provide the necessary foundation for the better application of PHM in complex systems. The research work of this thesis mainly includes the following aspects: First, select the appropriate sensor class based on the environment, performance parameters (such as vibration, displacement, speed, temperature, sound, flow, etc.) in which the components are to be studied and other information With multiple sensors for data fusion, a stable and effective data letter can be obtained Interest rate. There are many factors that affect the sensor's demand. The multi-objective programming can be established for different levels (complex system level, such as system and sub-system) and different types of sensors, and the optimized layout of the sensor can be studied. in that case of the optimization of the objective function and the optimization of the configuration In order to achieve the best effect of the sensor system, the redundant structure of the multi-sensor system is also established and the reliability model is established. secondly, acquiring monitoring data of various levels of the system by a sensor, then processing and analyzing the acquired data, On the basis of this, the optimal configuration of spare parts is established for the non-repairable system The model can be used to describe the operation process of the system, and the spare parts configuration model of the non-repairable system is established and the spare parts are given. demand ....................................... a system for constructing a system or a system with a state gradient and a state aggregation feature of an important component, and a system for meeting the PHM cost-effect ratio condition, PHM system. The failure of the repairable system is the result of the continuous development of the component and the accumulation of the system damage. Therefore, it is assumed that the system has two failure modes, safety failure and dangerous failure, and the ion channel theory is used to construct the model and the preparation is given. the model is further expanded into three state sets, a working state set, a fault state set and an intermediate state set, The process is described, the formula of the configuration of the spare parts and other relevant parts are given. The fourth, on the basis of PHM technology, on the basis of PHM technology, based on the spare parts demand of the spare parts configuration model built on the basis of PHM technology, the evaluation model of the spare parts configuration is established to provide the theoretical basis for the maintenance and guarantee decision-making, so as to improve the system guarantee. The success probability of the task is determined and the spare part demand for the spare part configuration model is determined to be The paper assumes that, in the specified period, when the component fails or is damaged, the evaluation model of the existing spare parts configuration is respectively established through the updating process and the queuing theory, and the life distribution of the component is obtained as the index. repairable system composed of normal, Weibull and gamma distribution The research results of this paper have an excellent application prospect and can promote the development of reliability, so as to improve the availability of the complex system and reduce the total life cycle cost of the complex system, and the results of the research can be widely used in the management section. The research work can also expand our country's reliability in other aspects of study and engineering
【學位授予單位】：北京理工大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TH186
本文編號：2506837
[Abstract]:The prediction and health management of complex system (PHM) is one of the most important research hotspots in the current reliability field. Its main idea is to realize the transition of the system guarantee from the state monitoring to the state management, and to actively pay attention to the fault and the degradation risk of the system. So as to carry out the health management of the system. The problem of the configuration of the spare parts based on the PHM technology is based on this, which can reduce the number of maintenance reasonably and effectively, reduce the use and guarantee the cost, and realize the affordability of the economy. Therefore, this paper has very important theoretical and practical significance. This paper focuses on three aspects of the configuration of the spare parts: the optimal layout and the reliability model of the sensor system, which can obtain the data information of the complex system operation and provide the basis for the establishment of the spare parts configuration model; On the basis of the two kinds of repairable systems of Markov and semi-Markov, the model of spare parts configuration is set up, which is the core content of the paper, and the evaluation model of the configuration of the spare parts is constructed. It is an important part of the evaluation of the system maintenance and guarantee ability. All these studies have good originality and provide the necessary foundation for the better application of PHM in complex systems. The research work of this thesis mainly includes the following aspects: First, select the appropriate sensor class based on the environment, performance parameters (such as vibration, displacement, speed, temperature, sound, flow, etc.) in which the components are to be studied and other information With multiple sensors for data fusion, a stable and effective data letter can be obtained Interest rate. There are many factors that affect the sensor's demand. The multi-objective programming can be established for different levels (complex system level, such as system and sub-system) and different types of sensors, and the optimized layout of the sensor can be studied. in that case of the optimization of the objective function and the optimization of the configuration In order to achieve the best effect of the sensor system, the redundant structure of the multi-sensor system is also established and the reliability model is established. secondly, acquiring monitoring data of various levels of the system by a sensor, then processing and analyzing the acquired data, On the basis of this, the optimal configuration of spare parts is established for the non-repairable system The model can be used to describe the operation process of the system, and the spare parts configuration model of the non-repairable system is established and the spare parts are given. demand ....................................... a system for constructing a system or a system with a state gradient and a state aggregation feature of an important component, and a system for meeting the PHM cost-effect ratio condition, PHM system. The failure of the repairable system is the result of the continuous development of the component and the accumulation of the system damage. Therefore, it is assumed that the system has two failure modes, safety failure and dangerous failure, and the ion channel theory is used to construct the model and the preparation is given. the model is further expanded into three state sets, a working state set, a fault state set and an intermediate state set, The process is described, the formula of the configuration of the spare parts and other relevant parts are given. The fourth, on the basis of PHM technology, on the basis of PHM technology, based on the spare parts demand of the spare parts configuration model built on the basis of PHM technology, the evaluation model of the spare parts configuration is established to provide the theoretical basis for the maintenance and guarantee decision-making, so as to improve the system guarantee. The success probability of the task is determined and the spare part demand for the spare part configuration model is determined to be The paper assumes that, in the specified period, when the component fails or is damaged, the evaluation model of the existing spare parts configuration is respectively established through the updating process and the queuing theory, and the life distribution of the component is obtained as the index. repairable system composed of normal, Weibull and gamma distribution The research results of this paper have an excellent application prospect and can promote the development of reliability, so as to improve the availability of the complex system and reduce the total life cycle cost of the complex system, and the results of the research can be widely used in the management section. The research work can also expand our country's reliability in other aspects of study and engineering
【學位授予單位】：北京理工大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TH186
【參考文獻】
相關(guān)期刊論文 前10條
1 王家鵬;高崎;王宏焰;徐志偉;;一種基于遺傳算法的設(shè)備備件配置優(yōu)化方法[J];兵工自動化;2009年10期
2 王乃超;康銳;;多約束條件下備件庫存優(yōu)化模型及分解算法[J];兵工學報;2009年02期
3 程海龍;康銳;韋藝;曲麗麗;;備件滿足率與備件短缺量對比分析[J];北京航空航天大學學報;2008年05期
4 鄭治華;崔利榮;;Availability Analysis of Parallel Repairable System with Omitted Failures[J];Journal of Beijing Institute of Technology;2009年01期
5 馮申,楊自春;典型任務(wù)剖面內(nèi)艦船機電單部件系統(tǒng)備件配置方法研究[J];船舶工程;2005年05期
6 劉楊;任德奎;;基于灰色理論的間斷性需求備件預(yù)測方法[J];四川兵工學報;2011年04期
7 孫江生;呂艷梅;李蘇劍;劉偉民;;基于貝葉斯理論的武器備件需求模型檢驗[J];電光與控制;2009年08期
8 彭宇;劉大同;彭喜元;;故障預(yù)測與健康管理技術(shù)綜述[J];電子測量與儀器學報;2010年01期
9 李金國,丁紅兵;備件需求量計算模型分析[J];電子產(chǎn)品可靠性與環(huán)境試驗;2000年03期
10 楊秉喜,張義芳,熊勇;備件需求量計算模型及其在地面雷達中的應(yīng)用[J];電子產(chǎn)品可靠性與環(huán)境試驗;2000年06期
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