基于DSP的嵌入式煤礦提升機天輪軸承故障診斷系統(tǒng)研究
發(fā)布時間：2018-08-16 18:04
【摘要】：軸承是旋轉(zhuǎn)機械中使用最多、最為關鍵,同時也是最容易損壞的機械零件之一。軸承的好壞直接影響到整個機械設備的正常運行,而礦井提升機天輪軸承作為煤礦安全生產(chǎn)最為重要的機械零件,其運行狀態(tài)的好壞直接影響到煤礦的安全生產(chǎn)和經(jīng)濟效益,因此對礦井提升機天輪軸承進行故障診斷具有十分重要的意義。 本文重點介紹了軸承故障診斷理論,研究了軸承故障簡易診斷方法和精密診斷方法,通過對實驗室軸承故障模擬實驗臺數(shù)據(jù)和實測的濟寧二號煤礦提升機天輪軸承數(shù)據(jù)進行仿真、分析,結(jié)果表明本文所提出的軸承故障診斷方法不僅能有效地檢測出軸承早期故障,而且能有效地判斷出軸承的故障類型。應用本文研究的滾動軸承故障診斷方法成功的設計了基于DSP的嵌入式提升機天輪軸承故障診斷系統(tǒng),并將該系統(tǒng)應用于濟寧二號煤礦提升機天輪軸承的在線監(jiān)控,取得了良好的效果。 本文主要完成的工作如下： 討論了軸承故障簡易診斷算法——時域參數(shù)法,通過對實驗室軸承故障模擬實驗臺數(shù)據(jù)和實測的濟寧二號煤礦提升機天輪軸承數(shù)據(jù)的分析、對比,得出了穩(wěn)定性好、抗干擾能力強的時域特征參數(shù),并將其應用于軸承故障簡易診斷中。 研究了軸承故障信號提純的方法和小波包分析方法,并將兩者有機結(jié)合起來應用于軸承故障精密診斷。通過對實驗數(shù)據(jù)和實測數(shù)據(jù)的仿真分析,結(jié)果表明該方法不僅能有效地抑制了外界環(huán)境噪聲的干擾而且能準確的判斷出軸承的故障類型,達到了對軸承故障精密診斷的目的。 討論了基于DSP的礦井提升機天輪軸承故障診斷系統(tǒng)的硬件設計和軟件設計,介紹了本文研究的算法在DSP上的實現(xiàn),探討了DSP與上位機組態(tài)軟件通訊方法的實現(xiàn)和軸承故障監(jiān)控平臺的實現(xiàn)等問題,并將軟件系統(tǒng)和硬件系統(tǒng)有機的結(jié)合起來,成功地構建了基于DSP的嵌入式礦井提升機天輪軸承故障診斷系統(tǒng)。 最后介紹了本文設計的軸承故障診斷系統(tǒng)在濟寧二號煤礦的實際使用情況和故障診斷效果。
[Abstract]:Bearing is one of the most important and easily damaged parts in rotating machinery. The quality of the bearing directly affects the normal operation of the whole mechanical equipment. As the most important mechanical part in the coal mine safety production, the operation state of the mine hoist sky wheel bearing has a direct impact on the safety production and economic benefits of the coal mine. Therefore, it is very important to diagnose the fault of mine hoist bearing. In this paper, the theory of bearing fault diagnosis is introduced, and the simple and accurate diagnosis method of bearing fault is studied. Through the simulation and analysis of the experimental data of the laboratory bearing fault simulation bench and the measured data of the sky wheel bearing of the Jining No. 2 coal mine hoist, The results show that the bearing fault diagnosis method presented in this paper can not only effectively detect the early fault of bearing, but also can effectively judge the fault type of bearing. Using the rolling bearing fault diagnosis method studied in this paper, the fault diagnosis system of the sky wheel bearing of the embedded hoist based on DSP is successfully designed, and the system is applied to the on-line monitoring of the sky wheel bearing of the No. 2 coal mine hoist in Jining coal mine. Good results have been achieved. The main work of this paper is as follows: the simple fault diagnosis algorithm of bearing, the time domain parameter method, is discussed. Through the analysis of the data of the laboratory bearing fault simulation test bench and the measured data of the sky wheel bearing of the Jining No. 2 coal mine hoist, the time domain characteristic parameters with good stability and strong anti-interference ability are obtained. It is applied to the simple diagnosis of bearing fault. The methods of bearing fault signal purification and wavelet packet analysis are studied, and the two methods are applied to the precision diagnosis of bearing fault. Through the simulation analysis of the experimental data and the measured data, the results show that the method can not only effectively suppress the external noise interference, but also accurately judge the bearing fault type, and achieve the purpose of accurate diagnosis of bearing fault. This paper discusses the hardware design and software design of the fault diagnosis system for the bearing of mine hoist based on DSP, and introduces the realization of the algorithm studied in this paper on DSP. This paper discusses the realization of communication method between DSP and upper computer configuration software and the realization of bearing fault monitoring platform, and organically combines software system with hardware system. The fault diagnosis system of the sky wheel bearing of the mine hoist based on DSP is successfully constructed. Finally, the actual application and fault diagnosis effect of bearing fault diagnosis system designed in Jining No. 2 Coal Mine are introduced.
【學位授予單位】：山東大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH165.3
本文編號：2186754
[Abstract]:Bearing is one of the most important and easily damaged parts in rotating machinery. The quality of the bearing directly affects the normal operation of the whole mechanical equipment. As the most important mechanical part in the coal mine safety production, the operation state of the mine hoist sky wheel bearing has a direct impact on the safety production and economic benefits of the coal mine. Therefore, it is very important to diagnose the fault of mine hoist bearing. In this paper, the theory of bearing fault diagnosis is introduced, and the simple and accurate diagnosis method of bearing fault is studied. Through the simulation and analysis of the experimental data of the laboratory bearing fault simulation bench and the measured data of the sky wheel bearing of the Jining No. 2 coal mine hoist, The results show that the bearing fault diagnosis method presented in this paper can not only effectively detect the early fault of bearing, but also can effectively judge the fault type of bearing. Using the rolling bearing fault diagnosis method studied in this paper, the fault diagnosis system of the sky wheel bearing of the embedded hoist based on DSP is successfully designed, and the system is applied to the on-line monitoring of the sky wheel bearing of the No. 2 coal mine hoist in Jining coal mine. Good results have been achieved. The main work of this paper is as follows: the simple fault diagnosis algorithm of bearing, the time domain parameter method, is discussed. Through the analysis of the data of the laboratory bearing fault simulation test bench and the measured data of the sky wheel bearing of the Jining No. 2 coal mine hoist, the time domain characteristic parameters with good stability and strong anti-interference ability are obtained. It is applied to the simple diagnosis of bearing fault. The methods of bearing fault signal purification and wavelet packet analysis are studied, and the two methods are applied to the precision diagnosis of bearing fault. Through the simulation analysis of the experimental data and the measured data, the results show that the method can not only effectively suppress the external noise interference, but also accurately judge the bearing fault type, and achieve the purpose of accurate diagnosis of bearing fault. This paper discusses the hardware design and software design of the fault diagnosis system for the bearing of mine hoist based on DSP, and introduces the realization of the algorithm studied in this paper on DSP. This paper discusses the realization of communication method between DSP and upper computer configuration software and the realization of bearing fault monitoring platform, and organically combines software system with hardware system. The fault diagnosis system of the sky wheel bearing of the mine hoist based on DSP is successfully constructed. Finally, the actual application and fault diagnosis effect of bearing fault diagnosis system designed in Jining No. 2 Coal Mine are introduced.
【學位授予單位】：山東大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH165.3
【引證文獻】
相關碩士學位論文 前1條
1 付新欣;基于小波分析的滾動軸承故障診斷技術研究[D];沈陽航空航天大學;2013年
，本文編號：2186754
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