本文關(guān)鍵詞：高線減定徑機(jī)組狀態(tài)監(jiān)測與故障診斷　出處：《上海交通大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 減定徑機(jī)組 狀態(tài)監(jiān)測 故障診斷 倒頻譜 小波分析

【摘要】：減定徑機(jī)組是現(xiàn)代高速線材生產(chǎn)線的關(guān)鍵設(shè)備，，在生產(chǎn)中有著舉足輕重的作用，一旦發(fā)生故障導(dǎo)致停產(chǎn)，將直接影響企業(yè)經(jīng)濟(jì)效益。為保證生產(chǎn)穩(wěn)定運(yùn)行，降低設(shè)備維護(hù)成本，提高對減定徑機(jī)組的故障診斷水平，實現(xiàn)對減定徑機(jī)組實時狀態(tài)監(jiān)測，對高線減定徑機(jī)組的狀態(tài)監(jiān)測和故障診斷系統(tǒng)進(jìn)行了試驗研究。 本文從減定徑機(jī)組的結(jié)構(gòu)和傳動原理出發(fā)，詳細(xì)分析了減定徑機(jī)組的工作狀態(tài)；研究了以PXI技術(shù)為基礎(chǔ)的減定徑機(jī)組狀態(tài)監(jiān)測和故障診斷系統(tǒng)硬件構(gòu)成及系統(tǒng)結(jié)構(gòu)，主要包括傳感器的選用、PXI機(jī)箱、控制器和外圍I/O模塊等研究；然后從軸承、齒輪及軸的振動機(jī)理上研究分析了各部件故障形式及頻譜特征和時域、頻域和時頻振動分析方法；提出了倒頻譜分析方法和小波-倒頻譜分析方法，前者可在高線減定徑機(jī)組故障診斷中有效地提取減定徑機(jī)組齒輪故障頻率；后者可有效地提取減定徑機(jī)組軸承故障頻率，在特性提取和降噪的表現(xiàn)上明顯優(yōu)于常規(guī)的FFT，特別適合檢測減定徑機(jī)組中微弱故障信號。經(jīng)過現(xiàn)場驗證，使用這兩種方法分別成功的診斷出了齒輪齒面點(diǎn)蝕故障和軸承故障。 基于上述理論基礎(chǔ)，在虛擬儀器開發(fā)平臺上對狀態(tài)監(jiān)測與故障診斷系統(tǒng)的軟件實現(xiàn)方法做了系統(tǒng)研究，研制了一套狀態(tài)監(jiān)測與故障診斷系統(tǒng)。通過半年的現(xiàn)場運(yùn)行和試驗，驗證了系統(tǒng)的可行性和實用性。
[Abstract]:Reducer unit is the key equipment of modern high-speed wire production line, which plays an important role in production. Once failure occurs, it will directly affect the economic benefits of the enterprise, in order to ensure the stable operation of production. The maintenance cost of the equipment is reduced, the fault diagnosis level of the sizing unit is improved, the real-time state monitoring of the sizing machine group is realized, and the condition monitoring and fault diagnosis system of the high line reducer unit is studied experimentally. Based on the structure and driving principle of the sizing unit, the working state of the unit is analyzed in detail in this paper. The hardware structure and system structure of the state monitoring and fault diagnosis system based on PXI technology are studied, including the selection of sensors. Research on controller and peripheral I / O module; Then, from the vibration mechanism of bearings, gears and shafts, the fault forms and spectrum characteristics of each component and the methods of time-domain, frequency-domain and time-frequency vibration analysis are studied and analyzed. The cepstrum analysis method and the wavelet cepstrum analysis method are proposed. The former can effectively extract the fault frequency of reducer gear in the fault diagnosis of high line reducer. The latter can effectively extract the bearing fault frequency of the sizing reducer group, and the performance of characteristic extraction and noise reduction is obviously better than that of the conventional FFT.It is especially suitable for detecting the weak fault signal in the diameter-reducing machine group, which has been verified in the field. The pitting corrosion fault and bearing fault of gear tooth surface were successfully diagnosed by these two methods. Based on the above theory, the software realization method of the condition monitoring and fault diagnosis system is studied systematically on the virtual instrument development platform. A state monitoring and fault diagnosis system is developed. The feasibility and practicability of the system are verified by the field operation and test for half a year.
【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TG333.2;TH165.3

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