遷鋼1580熱軋F2異常震動故障的分析研究
發(fā)布時間：2019-05-24 03:32
【摘要】：軋機異常振動故障在薄規(guī)格板帶生產(chǎn)中經(jīng)常發(fā)生,不僅嚴重影響連續(xù)生產(chǎn)的穩(wěn)定性,且使生產(chǎn)條件惡化,縮短軋機機械、電器及液壓等原件壽命。研究如何預(yù)測、分析與消除軋機異常振動故障具有重要的理論與實際意義。 本文以遷鋼1580熱連軋生產(chǎn)線為研究對象展開研究。首先介紹了軋機振動故障的研究現(xiàn)狀,然后針對遷鋼1580熱連軋生產(chǎn)線特點展開故障診斷工作。通過測試方案的設(shè)計實現(xiàn)了熱連軋生產(chǎn)線振動信息采集系統(tǒng)。通過對產(chǎn)品振動信號的測試,完成軋機不同部位水平、垂直振動加速度信號以及傳動系統(tǒng)扭振信號的振動信息采集與存儲。在采集振動信息的基礎(chǔ)上,對這些信號進行時域和頻域分析。分析結(jié)果顯示,軋機水平振動最為劇烈,扭振和水平振動產(chǎn)生了共振。軋機扭振、垂振為受迫振動,激勵源自水平振動。抑制水平振動將能夠同時抑制垂直振動和主傳動扭振。通過振型的分析得出減小軸承座和機架之間的間隙能有效地抑制水平振動的發(fā)生。通過調(diào)整軸承座和機架之間的間隙的方法進行了抑振實驗,結(jié)果顯示軋機振動得到了較好的抑制。 由于軋機頻繁換輥,振動信號采集所用的加速度傳感器在每次換輥時都要靠人工去重新安裝,影響軋線作業(yè)率。為了準確預(yù)報振動最為劇烈的軋機水平振動情況和設(shè)備間隙情況,采用BP神經(jīng)網(wǎng)絡(luò)的方法進行了預(yù)報,結(jié)果顯示此方法能有效預(yù)測軋機水平振動的加速度和軋機間隙狀況,為設(shè)備的狀態(tài)維修提供了參考。
[Abstract]:The abnormal vibration fault of rolling mill often occurs in the production of thin gauge plate and strip, which not only seriously affects the stability of continuous production, but also aggravates the production conditions and shortens the life of mechanical, electrical and hydraulic parts of rolling mill. It is of great theoretical and practical significance to study how to predict, analyze and eliminate the abnormal vibration fault of rolling mill. In this paper, the 1580 hot strip rolling production line of Qianshan Iron and Steel Co., Ltd. is studied. Firstly, the research status of vibration fault of rolling mill is introduced, and then the fault diagnosis work is carried out according to the characteristics of 1580 hot strip production line of Qianshan Iron and Steel Co., Ltd. The vibration information acquisition system of hot strip production line is realized through the design of test scheme. Through the test of the vibration signal of the product, the vibration information collection and storage of the horizontal and vertical vibration acceleration signal and the torsional vibration signal of the transmission system in different parts of the rolling mill are completed. On the basis of collecting vibration information, these signals are analyzed in time domain and frequency domain. The analysis results show that the horizontal vibration of the rolling mill is the most intense, and the torsional vibration and the horizontal vibration produce resonance. Torsional vibration of rolling mill, vertical vibration is forced vibration, excitation comes from horizontal vibration. Suppression of horizontal vibration will be able to suppress both vertical vibration and main drive torsional vibration. Through the analysis of vibration mode, it is concluded that reducing the gap between bearing seat and frame can effectively restrain the occurrence of horizontal vibration. The vibration suppression experiment is carried out by adjusting the gap between the bearing seat and the rack. The results show that the vibration of the rolling mill is well suppressed. Because of the frequent roll change of the rolling mill, the acceleration sensor used in vibration signal acquisition has to be reinstalled manually every time the roll is changed, which affects the rolling line operation rate. In order to accurately predict the horizontal vibration and equipment gap of the rolling mill with the most severe vibration, the BP neural network method is used to predict the horizontal vibration of the rolling mill and the gap of the rolling mill. The results show that this method can effectively predict the acceleration of the horizontal vibration of the rolling mill and the condition of the gap of the rolling mill. It provides a reference for the condition maintenance of the equipment.
【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】：2012
【分類號】：TG333;TH165.3
本文編號：2484519
[Abstract]:The abnormal vibration fault of rolling mill often occurs in the production of thin gauge plate and strip, which not only seriously affects the stability of continuous production, but also aggravates the production conditions and shortens the life of mechanical, electrical and hydraulic parts of rolling mill. It is of great theoretical and practical significance to study how to predict, analyze and eliminate the abnormal vibration fault of rolling mill. In this paper, the 1580 hot strip rolling production line of Qianshan Iron and Steel Co., Ltd. is studied. Firstly, the research status of vibration fault of rolling mill is introduced, and then the fault diagnosis work is carried out according to the characteristics of 1580 hot strip production line of Qianshan Iron and Steel Co., Ltd. The vibration information acquisition system of hot strip production line is realized through the design of test scheme. Through the test of the vibration signal of the product, the vibration information collection and storage of the horizontal and vertical vibration acceleration signal and the torsional vibration signal of the transmission system in different parts of the rolling mill are completed. On the basis of collecting vibration information, these signals are analyzed in time domain and frequency domain. The analysis results show that the horizontal vibration of the rolling mill is the most intense, and the torsional vibration and the horizontal vibration produce resonance. Torsional vibration of rolling mill, vertical vibration is forced vibration, excitation comes from horizontal vibration. Suppression of horizontal vibration will be able to suppress both vertical vibration and main drive torsional vibration. Through the analysis of vibration mode, it is concluded that reducing the gap between bearing seat and frame can effectively restrain the occurrence of horizontal vibration. The vibration suppression experiment is carried out by adjusting the gap between the bearing seat and the rack. The results show that the vibration of the rolling mill is well suppressed. Because of the frequent roll change of the rolling mill, the acceleration sensor used in vibration signal acquisition has to be reinstalled manually every time the roll is changed, which affects the rolling line operation rate. In order to accurately predict the horizontal vibration and equipment gap of the rolling mill with the most severe vibration, the BP neural network method is used to predict the horizontal vibration of the rolling mill and the gap of the rolling mill. The results show that this method can effectively predict the acceleration of the horizontal vibration of the rolling mill and the condition of the gap of the rolling mill. It provides a reference for the condition maintenance of the equipment.
【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】：2012
【分類號】：TG333;TH165.3
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