中文摘要

由于企業(yè)中大型葉輪機(jī)械的葉片承受許多極其苛刻的條件，所以在日常的工業(yè)生產(chǎn)中葉片事故時(shí)有發(fā)生。在此背景下，本文提出了葉輪機(jī)械葉片故障振動(dòng)信號(hào)精密分析系統(tǒng)的設(shè)計(jì)。
本文以某大型企業(yè)汽輪鼓風(fēng)機(jī)組葉片的故障分析項(xiàng)目為背景，分析了汽輪機(jī)與鼓風(fēng)機(jī)的葉片故障振動(dòng)特點(diǎn)，在多種現(xiàn)有信號(hào)分析方法知識(shí)的基礎(chǔ)上，以Visual C++6.0軟件、SQL Server數(shù)據(jù)庫(kù)為平臺(tái)，針對(duì)該大型企業(yè)開(kāi)發(fā)了一套葉片故障振動(dòng)信號(hào)精密分析系統(tǒng)。
本文主要研究?jī)?nèi)容如下：
（1）分析了當(dāng)前常見(jiàn)的幾種汽輪機(jī)可能故障的振動(dòng)信號(hào)特點(diǎn)，在了解針對(duì)大型回轉(zhuǎn)機(jī)械的幾種信號(hào)處理方法的診斷原理的基礎(chǔ)上，根據(jù)汽輪機(jī)的一些振動(dòng)特點(diǎn)，選擇幾種較適合的精密分析方法對(duì)葉片振動(dòng)故障信號(hào)特點(diǎn)進(jìn)行分析。
（2）學(xué)習(xí)VC++程序開(kāi)發(fā)方法及SQL Sever數(shù)據(jù)庫(kù)的應(yīng)用方法，設(shè)計(jì)軟件功能實(shí)現(xiàn)診斷要求；
（3）在理論分析的基礎(chǔ)上，本研究研制了由Visual C++開(kāi)發(fā)的測(cè)試軟件組成的葉片故障診斷系統(tǒng)，對(duì)模擬的葉片故障進(jìn)行了實(shí)驗(yàn)性測(cè)試研究，考察了不同葉片故障時(shí)的信號(hào)變化情況，對(duì)測(cè)試結(jié)果進(jìn)行了分析和判別，提取了與葉片故障有關(guān)的信號(hào)特征參數(shù)，分析試驗(yàn)振動(dòng)信號(hào)的特點(diǎn)與理論振動(dòng)信號(hào)特點(diǎn)是否吻合，從而檢驗(yàn)精密分析系統(tǒng)的性能。


關(guān)鍵詞：葉片故障，信號(hào)分析方法，精密分析系統(tǒng)，實(shí)驗(yàn)分析









ABSTRACT

Since large-scale enterprises in the mechanical impeller blades to bear many ex-tremely harsh conditions, so the day-to-day industrial production in the leaves of ac-cidents occur from time to time. In this context, this paper, impeller blade failure me-chanical vibration signals sophisticated analysis of the design.
In this paper, to a large enterprise group Turbo Blower monitoring of projects as the background, analysis of the steam turbine blade failure of the blower and vibration characteristics of the existing signal analysis in a variety of methods on the basis of knowledge, Visual C + +6.0 software, SQL Server Database as a platform, against the large-scale enterprises developed a sophisticated vibration signals blade failure analy-sis system.
This paper studies are as follows:
(1) analysis of the current common of several possible failure of the turbine vi-bration signal characteristics, to understand the large-scale rotating machinery for several signal processing methods of diagnosis on the basis of principle, according to some vibration characteristics of the turbine, several more suitable choice The sophis-ticated analysis of the blade vibration characteristics of signal failure.
(2) learning VC + + development of methods and procedures SQL Sever data-base applications, software design requirements to achieve the diagnosis;
(3) in the theoretical analysis on the basis of this study was developed by Visual C + + development of the software component of the test leaves fault diagnosis sys-tem, the simulation of a blade failure in experimental testing research, inspected the different blade failure of the signal change , The test results were analyzed and dis-crimination, and leaves from the failure of the signal characteristics of the relevant parameters, analysis and test the characteristics and vibration signals of vibration sig-nals characteristic of the anastomosis to test sophisticated analysis of system per-formance.


KEY WORDS: Leaves fault，Signal analysis，Sophisticated analysis system， Eexperimental analysis


目 錄
中文摘要 I
ABSTRACT II
1 緒論 1
1.1課題的背景及研究意義 1
1.1.1課題的研究背景 1
1.1.2課題的研究意義 1
1.2國(guó)內(nèi)外現(xiàn)狀 2
1.3本課題的研究?jī)?nèi)容 3
2 葉輪機(jī)械葉片故障診斷的基礎(chǔ)研究 4
2.1葉片結(jié)構(gòu)簡(jiǎn)述 4
2.2葉片故障類型及原因 5
2.2.1 葉片的故障類型 5
2.2.2 葉片的損壞部位 5
2.2.3 葉片故障原因分析 6
2.3葉片各工作狀態(tài)的振動(dòng)信號(hào)特點(diǎn) 7
2.3.1葉片正常工作時(shí)的振動(dòng)信號(hào)特點(diǎn) 7
2.3.2葉片不平衡故障振動(dòng)信號(hào)特點(diǎn) 8
2.3.3葉片碰磨故障振動(dòng)信號(hào)特點(diǎn) 11
2.3.4葉片脫落斷裂故障 13
3 葉輪機(jī)械葉片典型故障振動(dòng)信號(hào)分析方法 14
3.1 時(shí)域分析 14
3.2 頻域分析 15
3.3 其他分析 17
3.3.1時(shí)頻分析 17
3.3.2 幅值解調(diào) 17
4 葉輪機(jī)械葉片故障振動(dòng)信號(hào)精密分析軟件系統(tǒng)的設(shè)計(jì) 20
4.1精密分析系統(tǒng)的構(gòu)成 20
4.1.1常用狀態(tài)監(jiān)測(cè)與故障診斷的物理模型 20
4.1.2葉輪機(jī)械葉片故障振動(dòng)信號(hào)精密分析系統(tǒng)的模型 20
4.1.3葉輪機(jī)械葉片故障振動(dòng)信號(hào)精密分析系統(tǒng)的功能模塊圖 21
4.2葉輪機(jī)械葉片故障振動(dòng)信號(hào)精密分析系統(tǒng)的軟件實(shí)現(xiàn) 23
4.2.1平臺(tái)的選擇 23
4.2.2葉輪機(jī)械葉片故障振動(dòng)信號(hào)精密分析系統(tǒng)的啟動(dòng)和關(guān)閉 23
4.2.3數(shù)據(jù)管理模塊的實(shí)現(xiàn) 24
4.2.4信號(hào)精密分析模塊的實(shí)現(xiàn) 26
4.3實(shí)例分析 27
4.3.1實(shí)驗(yàn)過(guò)程 27
4.3.2實(shí)例結(jié)果分析 29
5 結(jié)論與展望 30
致 謝 31
參考文獻(xiàn) 32