本文選題：精軋機　切入點：齒輪箱　出處：《東北大學(xué)》2011年碩士論文　論文類型：學(xué)位論文

【摘要】：精軋機組是線材廠的關(guān)鍵設(shè)備,對精軋機組進行在線監(jiān)測,可以提前預(yù)知設(shè)備的工作狀態(tài)以及故障的發(fā)展趨勢,對保證企業(yè)的安全生產(chǎn)有重大意義。錐齒輪箱是精軋機的重要零部件,因此研究錐齒輪箱的診斷技術(shù)對于降低設(shè)備維修費用,提高產(chǎn)品質(zhì)量和市場競爭力具有重要的工程應(yīng)用價值。目前,國內(nèi)比較通行的辦法是利用便攜式儀器,對關(guān)鍵設(shè)備進行點檢,按照一定周期采集設(shè)備的振動數(shù)據(jù)進行分析。但是,此種方法也存在一定局限性,如無法隨時對數(shù)據(jù)進行采集,導(dǎo)致對數(shù)據(jù)的分析缺少連續(xù)性等。 論文針對上述問題開展研究,設(shè)計開發(fā)了基于C/S模式的高速線材精軋機在線振動監(jiān)測系統(tǒng),該系統(tǒng)利用安裝在設(shè)備上的振動傳感器對設(shè)備的振動數(shù)據(jù)進行采集分析后以曲線形式反映在系統(tǒng)工作站,起到提前對故障進行預(yù)警的作用。 論文在參閱國內(nèi)外相關(guān)最新研究成果的基礎(chǔ)上,首先,針對軋機生產(chǎn)線的關(guān)鍵設(shè)備——錐齒輪箱,重點討論了錐齒輪箱主要零部件滾動軸承和齒輪的常見故障形式、故障特征頻率,討論了齒輪箱振動信號調(diào)幅和調(diào)頻的產(chǎn)生機理,并針對某鋼高線廠的高速線材軋機,計算了某架機組的故障特征頻率。 論文闡述了常見振動信號的特征提取方法,主要包括振動信號時域波形分析、統(tǒng)計指標分析、幅值譜和包絡(luò)譜分析、自相關(guān)分析和小波分析等。為后續(xù)的在線監(jiān)測系統(tǒng)開發(fā)及故障診斷奠定了理論基礎(chǔ)。針對高速線材軋機錐齒輪箱的特點,設(shè)計了在線監(jiān)測系統(tǒng)的總體方案,完成了精軋機設(shè)備實時在線監(jiān)測系統(tǒng)的開發(fā)。整個系統(tǒng)分為機組管理、數(shù)據(jù)采集、在線監(jiān)測等幾個功能模塊,采用統(tǒng)計棒圖、波形圖、頻譜圖和趨勢圖以及峰值、峰峰值、有效值和峭度值等時域特征參數(shù)清楚地反映了設(shè)備的運行狀態(tài)。 最后,將故障診斷理論和在線監(jiān)測系統(tǒng)應(yīng)用到某鋼高線廠精軋機狀態(tài)監(jiān)測與故障診斷中,成功捕捉到軸承內(nèi)圈點蝕、保持架損壞及錐箱齒輪斷齒等故障,避免了惡性事故的發(fā)生,取得了顯著的經(jīng)濟效益。
[Abstract]:Finishing mill unit is the key equipment in wire mill. On-line monitoring of finishing mill unit can predict the working state of the equipment and the development trend of fault ahead of time. Bevel gearbox is an important part of finishing mill, so studying the diagnostic technology of bevel gearbox can reduce the maintenance cost of equipment. Improving product quality and market competitiveness has important engineering application value. At present, the common method in China is to make use of portable instruments to carry out spot inspection of key equipment. The vibration data of the equipment are analyzed according to a certain period. However, this method also has some limitations, such as the data can not be collected at any time, resulting in the lack of continuity in the analysis of the data. Aiming at the above problems, the paper designs and develops the on-line vibration monitoring system of high-speed wire finishing mill based on C / S mode. The system uses the vibration sensor installed on the equipment to collect and analyze the vibration data of the equipment, and then it is reflected in the system workstation in the form of curves, which plays the role of warning the faults in advance. On the basis of referring to the latest research results at home and abroad, firstly, aiming at the key equipment of rolling mill production line, bevel gear box, the common fault forms of rolling bearing and gear of main parts of bevel gear box are discussed emphatically. The mechanism of amplitude modulation and frequency modulation of gear box vibration signal is discussed, and the fault characteristic frequency of a certain unit is calculated for a high speed wire mill in a steel wire mill. In this paper, the methods of feature extraction of common vibration signals are described, including time domain waveform analysis, statistical index analysis, amplitude spectrum and envelope spectrum analysis. Autocorrelation analysis and wavelet analysis are the theoretical basis for the following on-line monitoring system development and fault diagnosis. According to the characteristics of bevel gearbox of high-speed wire mill, the overall scheme of on-line monitoring system is designed. The development of real-time on-line monitoring system for finishing mill equipment is completed. The whole system is divided into several functional modules, such as unit management, data acquisition, on-line monitoring and so on. The system adopts statistical bar diagram, waveform chart, spectrum chart and trend chart, as well as peak and peak, peak and peak, etc. The time domain characteristic parameters such as effective value and kurtosis value clearly reflect the running state of the equipment. Finally, the fault diagnosis theory and the on-line monitoring system are applied to the condition monitoring and fault diagnosis of the finishing mill in a high wire mill. The faults such as pitting of the inner ring of the bearing, damage of the cage and broken teeth of the bevel box gear are successfully captured. The malignant accidents are avoided and remarkable economic benefits are obtained.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2011
【分類號】：TG333;TH165.3

【參考文獻】

相關(guān)期刊論文 前10條

1 朱艷芬;陳恩利;申永軍;王翠艷;;含有故障的齒輪系統(tǒng)扭轉(zhuǎn)振動分析[J];北京機械工業(yè)學(xué)院學(xué)報;2007年04期

2 黃天戍,汪陽,吳迪,孫夫雄;基于第二代小波變換的電力系統(tǒng)故障錄波數(shù)據(jù)壓縮方法[J];電力自動化設(shè)備;2004年03期

3 楊宏斌,高建平,鄧效忠,周彥偉;弧齒錐齒輪和準雙曲面齒輪非線性動力學(xué)研究[J];航空動力學(xué)報;2004年01期

4 張義民,劉巧伶,聞邦椿;多自由度非線性隨機參數(shù)振動系統(tǒng)響應(yīng)分析的概率攝動有限元法[J];計算力學(xué)學(xué)報;2003年01期

5 張志斌;鄭海起;唐力偉;;自適應(yīng)二代小波變換在振動信號降噪中的應(yīng)用[J];機械強度;2006年S1期

6 張鎖懷,李憶平,丘大謀;用諧波平衡法分析齒輪耦合的轉(zhuǎn)子—軸承系統(tǒng)的動力特性[J];機械工程學(xué)報;2000年07期

7 陳予恕;;機械故障診斷的非線性動力學(xué)原理[J];機械工程學(xué)報;2007年01期

8 馬波;高金吉;江志農(nóng);;自適應(yīng)提升小波在往復(fù)機械故障檢測中的應(yīng)用[J];流體機械;2007年04期

9 王坤;黃樹紅;黃丕維;張柏林;;基于有限元技術(shù)的大型汽輪機轉(zhuǎn)子壽命評估系統(tǒng)[J];熱能動力工程;2007年03期

10 申永軍;楊紹普;李偉;;齒輪系統(tǒng)非線性動力學(xué)研究進展及展望[J];石家莊鐵道學(xué)院學(xué)報;2005年04期

相關(guān)博士學(xué)位論文 前2條

1 韓振南;齒輪傳動系統(tǒng)的故障診斷方法的研究[D];太原理工大學(xué);2003年

2 孟慶豐;信號特征提取方法與應(yīng)用研究[D];西安電子科技大學(xué);2006年

，

本文編號：1641929