本文選題：軸承故障檢測 + HHT　； 參考：《山東大學》2011年碩士論文

【摘要】：提升機天輪軸承是礦井提升系統(tǒng)的重要部件,軸承運行狀態(tài)的好壞直接影響到整個提升系統(tǒng)的性能。一旦軸承出現(xiàn)故障,將會導致提升系統(tǒng)不能正常工作,給煤礦生產(chǎn)帶來巨大的安全隱患和經(jīng)濟損失。因此,研究滾動軸承故障診斷方法具有重要的意義。 本文介紹了一種時頻分析的新方法——HHT(Hilbert-Huang Transform),HHT方法包括兩個部分,EMD分解和Hilbert變換,其中最重要的是EMD分解。本文就EMD分解中出現(xiàn)的模態(tài)混疊現(xiàn)象進行了分析,并用EEMD分解方法改進了原有的EMD分解方法,驗證了EEMD分解的優(yōu)越性。基于此提出了新的HHT方法：EEMD+Hilbert變換。 本文將該方法應用到提升機天輪軸承故障診斷中,實現(xiàn)了對提升機天輪軸承故障的精確診斷。本文的主要研究內(nèi)容包括：對HHT信號分解過程進行了仿真,說明了HHT方法的實現(xiàn)步驟；搭建實驗平臺,獲取軸承故障模擬信號,對模擬信號進行HHT,提取故障特征；研究礦井提升機天輪軸承故障診斷的方法,并將該方法應用到濟寧二號井,取得了理想的效果。 滾動軸承包括內(nèi)圈、外圈、滾動體和保持架四個部分,本文主要研究了內(nèi)圈、外圈和滾動體故障特征,當這三個部分出現(xiàn)故障的時候,軸承表現(xiàn)出的特征頻率是不一樣的。因此,通過HHT處理軸承振動信號,提取軸承故障特征,可以準確判斷軸承故障發(fā)生的位置,保證軸承出現(xiàn)故障的時候及時對軸承進行檢修維護,確保礦井提升機系統(tǒng)的正常運行和煤礦的安全生產(chǎn)。
[Abstract]:The hoist sky-wheel bearing is an important part of the mine hoisting system. The performance of the whole hoisting system is directly affected by the running condition of the bearing. Once the bearing fails, the lifting system will not work properly, which will bring huge safety hidden trouble and economic loss to the coal mine production. Therefore, it is of great significance to study the fault diagnosis method of rolling bearing. In this paper, a new time-frequency analysis method, HHT (Hilbert-Huang transform), is introduced, which consists of two parts: EMD decomposition and Hilbert transform, the most important of which is EMD decomposition. In this paper, the phenomenon of modal aliasing in EMD decomposition is analyzed, and the advantages of EEMD decomposition are verified by improving the original EMD decomposition method with EEMD decomposition method. Based on this, a new HHT method is proposed, which is called the: EEMD Hilbert transform. In this paper, the method is applied to the fault diagnosis of the hoist's sky-wheel bearing, and the accurate diagnosis of the hoist's sky-wheel bearing is realized. The main research contents of this paper are as follows: the process of HHT signal decomposition is simulated, the realization steps of HHT method are explained, the experimental platform is set up, the bearing fault simulation signal is obtained, the analog signal is obtained by HHT, and the fault feature is extracted. This paper studies the method of fault diagnosis for the bearing of mine hoist and applies it to Jining No. 2 well with satisfactory results. The rolling bearing includes four parts: inner ring, outer ring, rolling body and cage. In this paper, the fault characteristics of inner ring, outer ring and rolling body are studied. When these three parts fail, the characteristic frequency of bearing is different. Therefore, by using HHT to process bearing vibration signal and extract bearing fault characteristics, the location of bearing fault can be accurately judged, and the maintenance of bearing can be ensured in time when bearing fault occurs. Ensure the normal operation of mine hoist system and safety production of coal mine.
【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】：TD534;TH165.3

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