本文選題：回轉(zhuǎn)支承 + 仿真　； 參考：《西安建筑科技大學(xué)》2014年碩士論文

【摘要】：隨著我國經(jīng)濟的不斷發(fā)展和工業(yè)化程度的不斷提高，機械設(shè)備開始在現(xiàn)實生活中扮演著越來越重要的角色，而回轉(zhuǎn)支承作為許多機械設(shè)備的關(guān)鍵部件也為國民經(jīng)濟的發(fā)展做著巨大的貢獻�；剞D(zhuǎn)支承大多用于低速重載的場合，其信號微弱且易淹沒在正常信號之中，其故障診斷的研究也一直是一個難題。近些年來，混沌理論作為一種新興的方法在微弱信號的檢測中起到了很好的效果，為了研究混沌系統(tǒng)是否適用于微弱信號的檢測，本文結(jié)合混沌振子的相關(guān)理論對回轉(zhuǎn)支承故障診斷進行了一定的研究。 本文對回轉(zhuǎn)支承的結(jié)構(gòu)形式、運動特征等進行了簡單介紹，對回轉(zhuǎn)支承的一些典型故障進行總結(jié)，并對其點蝕故障的特征頻率進行分析和計算。以某小型挖掘機的回轉(zhuǎn)支承為研究對象，，結(jié)合挖掘機的工作特點，搭建了回轉(zhuǎn)支承實驗臺和信號采集系統(tǒng)，分別采集了不同轉(zhuǎn)速下的故障信號。在對回轉(zhuǎn)支承進行故障診斷分析之前，還對回轉(zhuǎn)支承進行了受力分析和接觸分析，并對接觸剛度等重要參數(shù)進行了詳細計算，然后用PRO-E對回轉(zhuǎn)支承進行建模，用ADAMS對回轉(zhuǎn)支承進行仿真分析。本文在受力分析的基礎(chǔ)之上又對回轉(zhuǎn)支承的摩擦力矩進行了分析計算，通過回轉(zhuǎn)支承摩擦力矩的理論值和仿真值的對比來驗證結(jié)論。 由于回轉(zhuǎn)支承的轉(zhuǎn)速較低且承重較大，其故障信號往往容易淹沒在正常的信號和噪音信號之中，傳統(tǒng)的故障診斷方法并不適用，所以需要使用其他的方法對回轉(zhuǎn)支承進行故障診斷。本文將小波變換和Hilbert變換方法結(jié)合起來，用小波變換對信號進行分解和重構(gòu)，再應(yīng)用Hilbert變換進行解調(diào)和細化頻譜分析，確認實驗和仿真信號中含有故障特征頻率。之后引入混沌理論并對其進行分析，并將故障信號加入一種新型混沌系統(tǒng)——變形Rossler混沌系統(tǒng)之中，通過相圖的改變來判斷回轉(zhuǎn)支承是否故障，并通過計算其Lyapunov指數(shù)來定量地判斷故障特征頻率并得到結(jié)論。最后，通過仿真數(shù)據(jù)和實驗數(shù)據(jù)的分析來互相驗證其正確性，證明變形Rossler混沌系統(tǒng)對于微弱信號的檢測是可行的。
[Abstract]:With the continuous development of our economy and the continuous improvement of industrialization, machinery and equipment are playing an increasingly important role in real life. As a key component of many mechanical equipment, rotary bearing also makes great contribution to the development of national economy. The slewing bearing is mostly used in low speed and heavy load situations, its signal is weak and easily submerged in the normal signal, and the research of fault diagnosis is always a difficult problem. In recent years, as a new method, chaos theory has played a good role in weak signal detection. In order to study whether chaotic system is suitable for weak signal detection, Based on the theory of chaotic oscillator, the fault diagnosis of rotary bearing is studied in this paper. In this paper, the structure and motion characteristics of rotary bearing are introduced, and some typical faults of rotary bearing are summarized, and the characteristic frequency of its pitting fault is analyzed and calculated. Taking the rotary support of a small excavator as the research object and combining the working characteristics of the excavator, the experimental platform of rotary support and the signal acquisition system are built, and the fault signals under different rotational speeds are collected respectively. Before the fault diagnosis and analysis of the slewing bearing, the stress analysis and contact analysis of the slewing bearing are carried out, and the contact stiffness and other important parameters are calculated in detail, and then the model of the slewing bearing is built with PRO-E. The simulation analysis of the slewing bearing is carried out by Adams. On the basis of stress analysis, the friction moment of slewing bearing is analyzed and calculated in this paper, and the conclusion is verified by comparing the theoretical value and simulation value of friction moment of slewing bearing. Because the rotating speed of the rotary bearing is low and the load bearing is large, the fault signal is often submerged in the normal signal and the noise signal, so the traditional fault diagnosis method is not suitable. Therefore, it is necessary to use other methods for fault diagnosis of slewing bearings. In this paper, the wavelet transform and Hilbert transform are combined to decompose and reconstruct the signal, and then the Hilbert transform is used to demodulate and refine the spectrum. The fault characteristic frequency is confirmed in the experimental and simulation signals. Then the chaos theory is introduced and analyzed, and the fault signal is added to a new chaotic system-deformed Rossler chaotic system. By calculating its Lyapunov exponent, the fault characteristic frequency is quantitatively determined and the conclusion is obtained. Finally, the correctness of the system is verified by the analysis of the simulation data and the experimental data. It is proved that the deformed Rossler chaotic system is feasible for weak signal detection.
【學(xué)位授予單位】：西安建筑科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TU621;TH165.3

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