本文選題：節(jié)點測試設備　切入點：分布式測試系統(tǒng)　出處：《哈爾濱工業(yè)大學》2017年碩士論文

【摘要】：隨著電子信息系統(tǒng)復雜化、大型化、網(wǎng)絡化、智能化程度的不斷提高,電子信息系統(tǒng)的測試設備朝著“分布式采集,集中化分析管理,共享數(shù)據(jù)資源”的分布式測試系統(tǒng)的方向發(fā)展。以往的分布式測試系統(tǒng)的節(jié)點測試設備只負責狀態(tài)監(jiān)測、往往不具備故障診斷和故障預測功能,并且通用性差,需針對測試節(jié)點的測試需求開發(fā)專用設備,測試成本高,維護困難。針對這一問題,本課題研制一種具有一定通用性、信息交互能力、故障診斷能力和故障預測能力的節(jié)點測試設備,以構建信息化分布式的測試系統(tǒng),提高對復雜電子信息系統(tǒng)的測試能力和故障診斷、預測能力。在硬件設計上,選用高集成度、端子可復用的儀器模塊滿足被測節(jié)點測試信號的測試需求,利用儀器模塊的端子配置功能和超寬測量輸入替代TUA(Test Unit Adapter,測試接口適配器)的信號分配與調理功能,取消了專用的TUA,實現(xiàn)了節(jié)點測試設備的互換性、通用性和設備的小型化。另外,通過選用便攜式的PXI機箱,進一步減小了節(jié)點測試設備的體積。針對電子信息系統(tǒng)故障原因與癥狀的隨機性與不確定性、故障樣本少、狀態(tài)信息有限和先驗消息多源異類等特點,本課題在改進DS(Dempster-Shafer)證據(jù)理論處理沖突證據(jù)不當問題的基礎上,提出了基于灰色關聯(lián)分析與改進DS證據(jù)推理的故障診斷方法。該方法結合了灰色關聯(lián)分析處理“小樣本、貧信息、不確定性”問題的優(yōu)點與DS證據(jù)理論在信息融合中考慮不確定性的優(yōu)點。針對大功率電源的電壓和光纖陀螺的隨機漂移誤差均隨時間呈趨勢變化的特點,提出了基于ARMA-Elman神經網(wǎng)絡的故障預測方法,該方法結合了ARMA模型對于線性時間序列的擬合能力與Elman神經網(wǎng)絡對非線性時間序列的映射能力。提出的故障診斷算法與故障預測算法均以組件的形式實現(xiàn),供節(jié)點測試設備調用。測試軟件基于本單位的聯(lián)合試驗平臺開發(fā),通過開發(fā)具有基本功能的組件構建試驗方案實現(xiàn)測試軟件的功能�；诒締挝宦�(lián)合試驗平臺提供的信息交互服務,實現(xiàn)各節(jié)點測試設備間相互訪問、共享數(shù)據(jù)和相互調用。在故障診斷和故障預測組件的開發(fā)工作中,通過構建組件調用Matlab引擎的框架,方便將來擴充更多的算法以提高組件故障診斷和故障預測的能力。最后,完成了軟硬件的系統(tǒng)集成測試工作,通過虛擬被測對象(Unit Under Test,UUT)和實物信號源對設備具有的信息化能力、遠程測試能力、故障診斷能力和故障預測能力進行驗證,測試結果表明本課題研制的節(jié)點測試設備能夠滿足研制要求。
[Abstract]:As the electronic information system becomes more and more complex, large-scale, networked and intelligent, the test equipment of the electronic information system is oriented to "distributed collection, centralized analysis and management,"The development of distributed test system based on sharing data resources.In the past, the node test equipment of the distributed test system was only responsible for state monitoring, and often did not have the function of fault diagnosis and fault prediction, and the generality was poor. Therefore, special equipment should be developed to meet the test requirements of the test nodes, and the test cost was high.Maintenance is difficult.In order to solve this problem, this paper develops a kind of node test equipment which has certain generality, ability of information exchange, ability of fault diagnosis and ability of fault prediction, in order to construct an information distributed test system.Improve the test ability, fault diagnosis and prediction ability of complex electronic information system.In the hardware design, the instrument module with high integration and reusable terminal is selected to meet the test requirements of the test signal of the node under test.By using the terminal configuration function of the instrument module and the signal assignment and conditioning function of the ultra-wide measurement input instead of the TUA(Test Unit Adapter (test interface adapter), the special TUAs are eliminated, and the interchangeability, versatility and miniaturization of the node test equipment are realized.In addition, the volume of the node test equipment is further reduced by selecting the portable PXI chassis.Aiming at the randomness and uncertainty of fault causes and symptoms of electronic information system, the small number of fault samples, the limited state information and the multi-source heterogeneity of prior messages, this subject is based on the improvement of DSN Dempster-Shafer evidence theory to deal with the problem of improper conflict evidence.A fault diagnosis method based on grey correlation analysis and improved DS evidence reasoning is proposed.This method combines the advantages of "small sample, poor information, uncertainty" problem in grey relational analysis and the advantage of considering uncertainty in information fusion based on DS evidence theory.In view of the fact that the voltage of high power supply and the random drift error of fiber optic gyroscope are changing with time, a fault prediction method based on ARMA-Elman neural network is proposed.This method combines the fitting ability of ARMA model for linear time series and the mapping ability of Elman neural network to nonlinear time series.Both the fault diagnosis algorithm and the fault prediction algorithm are implemented in the form of components, which can be called by the node test equipment.The test software is developed based on the joint test platform of our unit, and the function of the test software is realized by developing components with basic functions to build the test scheme.Based on the information interactive service provided by the joint test platform, the test equipments of each node can access each other, share data and call each other.In the development of fault diagnosis and fault prediction components, it is convenient to expand more algorithms to improve the ability of component fault diagnosis and fault prediction by constructing the framework of component calling Matlab engine.Finally, the system integration test of hardware and software is completed, and the information ability, remote test ability, fault diagnosis ability and fault prediction ability of the equipment are verified by virtual object unit Under Test UUTU and physical signal source.The test results show that the node test equipment developed in this paper can meet the requirements of the development.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP277

【參考文獻】

相關期刊論文 前10條

1 丁文靜;劉以安;薛松;;基于證據(jù)價值的沖突證據(jù)合成方法[J];計算機工程與科學;2016年08期

2 嚴樂;司斌;張從霞;葉勇進;;美軍自動測試系統(tǒng)的現(xiàn)代化發(fā)展綜述[J];航空兵器;2016年02期

3 崔翹楚;魏長安;;信息化體系結構ATE軟件開發(fā)平臺設計方法[J];現(xiàn)代電子技術;2015年22期

4 吳坤;康建設;姜新亮;;基于果蠅算法和灰色神經網(wǎng)絡的電子裝備故障預測方法研究[J];計算機測量與控制;2015年09期

5 田沿平;葉曉慧;尹明;;基于狀態(tài)維修的電子設備故障預測技術研究[J];計算機測量與控制;2015年05期

6 徐廷學;奚文駿;趙建印;趙亮;;基于組合預測模型的某型導彈貯存壽命評估方法[J];海軍航空工程學院學報;2014年03期

7 丁碩;常曉恒;巫慶輝;楊友林;胡慶功;;Elman和BP神經網(wǎng)絡在模式分類領域內的對比研究[J];現(xiàn)代電子技術;2014年08期

8 屈建兵;;軍用自動測試系統(tǒng)的發(fā)展綜述[J];直升機技術;2014年01期

9 韓德強;楊藝;韓崇昭;;DS證據(jù)理論研究進展及相關問題探討[J];控制與決策;2014年01期

10 向剛;張會彬;李海孟;陳星宇;;基于灰色理論與專家系統(tǒng)的電子設備在線故障預測方法研究[J];航天控制;2013年04期

相關博士學位論文 前1條

1 李向前;復雜裝備故障預測與健康管理關鍵技術研究[D];北京理工大學;2014年

相關碩士學位論文 前9條

1 羅威;基于信息化體系結構的ATE通用軟件開發(fā)[D];哈爾濱工業(yè)大學;2016年

2 黃雪;信息化體系結構中間件實時信息傳輸軟件開發(fā)[D];哈爾濱工業(yè)大學;2016年

3 李世斌;端子功能可配置ATE儀器資源模塊研制[D];哈爾濱工業(yè)大學;2015年

4 崔翹楚;信息化體系結構ATE軟件平臺開發(fā)[D];哈爾濱工業(yè)大學;2015年

5 趙作侃;基于信息化體系結構的某系列彈藥自動測試設備研制[D];哈爾濱工業(yè)大學;2015年

6 丁雪靜;端子功能可配置ATE通訊資源模塊研制[D];哈爾濱工業(yè)大學;2015年

7 鄧舒予;HIT-TENA靶場實物資源實時接入設備研制[D];哈爾濱工業(yè)大學;2014年

8 張文;信息化自動測試系統(tǒng)軟件開發(fā)[D];哈爾濱工業(yè)大學;2013年

9 劉洋;基于網(wǎng)絡通信系統(tǒng)模型的脆性仿真研究[D];哈爾濱理工大學;2012年

，

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