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基于DRVI的減速器狀態(tài)監(jiān)測與故障診斷

發(fā)布時間:2018-03-17 09:27

  本文選題:虛擬儀器 切入點:狀態(tài)監(jiān)測 出處:《浙江工業(yè)大學(xué)》2012年碩士論文 論文類型:學(xué)位論文


【摘要】:隨著現(xiàn)代科技的進步與發(fā)展,機械設(shè)備越來越大型化,結(jié)構(gòu)越來越復(fù)雜,自動化程度也越來越高。為了避免由于某一設(shè)備故障而導(dǎo)致一連串的設(shè)備事故發(fā)生,就必須對關(guān)鍵設(shè)備進行狀態(tài)監(jiān)測與故障診斷。 本文主要講述的是基于DRVI虛擬儀器平臺,搭建一個虛擬儀器,實現(xiàn)對空氣壓縮機內(nèi)齒輪箱體部分進行實時的狀態(tài)監(jiān)測,并通過分析處理監(jiān)測所得的信號達到對設(shè)備進行診斷的目的。該設(shè)計以新型的儀器概念—虛擬儀器為主體,設(shè)計成果直接面向?qū)嶋H情況,設(shè)計儀器界面清晰、注釋詳盡,實際可操作性較強。具體工作歸納如下: (1)介紹基于DRVI的減速器狀態(tài)監(jiān)測與故障診斷的基本原理,包括設(shè)備狀態(tài)監(jiān)測與故障診斷概述(定義,理論基礎(chǔ)、區(qū)別和聯(lián)系)、實驗平臺(DRVI平臺、轉(zhuǎn)子平臺)介紹、信號數(shù)據(jù)的采集方法、故障特征參量對象的選擇及理由、振動特征信號的獲取和處理(FFT傅里葉變換、概率密度分析、頻譜細化及倒頻譜分析)。 (2)將相關(guān)故障特征參量對象應(yīng)用于減速器狀態(tài)監(jiān)測與故障診斷。 減速器(包含箱體和轉(zhuǎn)子)可能出現(xiàn)的振動類型,振動故障產(chǎn)生的可能原因,振動測量和監(jiān)測的基本參數(shù),傳感器的選擇和安裝,振動信號的分析與處理; 針對箱體噪聲信號的獲取和分析處理。聲音傳感器的選擇及安裝,噪聲信號的分析與處理(自相關(guān)分析、倍頻程譜分析、測量的修正); 針對箱體溫度信號的獲取和分析處理。溫度傳感器的選擇及安裝、熱電阻測溫原理、溫度信號的分析與處理(VBScript編程控制顯示)。 (3)減速器箱體故障監(jiān)測與診斷的虛擬儀器設(shè)計。所設(shè)計的用于對減速器齒輪箱體部分進行狀態(tài)監(jiān)測與故障診斷的虛擬儀器各部分簡介,操作界面介紹,編程代碼。 最后,對論文的研究工作進行了總結(jié),并對進一步的研究工作提出了一些展望。
[Abstract]:With the progress and development of modern science and technology, mechanical equipment is becoming more and more large-scale, the structure is becoming more and more complex, and the degree of automation is becoming higher and higher. The condition monitoring and fault diagnosis of critical equipment must be carried out. In this paper, based on DRVI virtual instrument platform, a virtual instrument is built to monitor the status of the gear box in the air compressor in real time. The design takes the new instrument concept-virtual instrument as the main body, the design result faces the actual situation directly, the interface of the design instrument is clear, the annotation is detailed. Practical maneuverability is relatively strong. The specific work is summarized as follows:. This paper introduces the basic principle of reducer condition monitoring and fault diagnosis based on DRVI, including the overview of equipment condition monitoring and fault diagnosis (definition, theoretical basis, distinction and connection, experimental platform, rotor platform). The acquisition method of signal data, the selection and reason of fault characteristic parameter object, the acquisition and processing of vibration characteristic signal, FFT Fourier transform, probability density analysis, spectrum thinning and cepstrum analysis. 2) the related fault characteristic parameter object is applied to the condition monitoring and fault diagnosis of reducer. The possible vibration types of reducer (including box and rotor), the possible causes of vibration failure, the basic parameters of vibration measurement and monitoring, the selection and installation of sensors, the analysis and processing of vibration signals; The selection and installation of sound sensors, the analysis and processing of noise signals (autocorrelation analysis, frequency-doubling spectrum analysis, measurement correction); The selection and installation of temperature sensor, the principle of thermal resistance temperature measurement, the analysis and processing of temperature signal, and the display of VBScript programming control are discussed. This paper introduces the design of virtual instrument for fault monitoring and diagnosis of reducer box. The virtual instrument used for condition monitoring and fault diagnosis of gear box part of reducer is introduced, the operating interface is introduced and the code of programming is introduced. Finally, the paper summarizes the research work and puts forward some prospects for further research work.
【學(xué)位授予單位】:浙江工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:TH132.46;TH165.3

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