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MATLAB列車模糊智能診斷系統設計

時間:2019-05-19 18:47來源:畢業論文
利用FFT進行頻域分析,然后選擇其中可以反映不同故障類型的幾個特征值;第三層是診斷,先利用樣本數據進行建模,完成一個MATLAB GUI人機對話友好界面,并進行系統編程

摘要:近幾年我國鐵路和列車的發展迅速,高速列車的數量和速度都有了很大的提升,安全性的要求也就越來越高。本文針對列車行駛過程中會出現的各種故障,開發了一種列車智能診斷系統。通過學習列車關鍵機械部件的結構特點,理解和掌握這些重要部件的振動機理,還學習了列車振動信號的分析方法,如幅值分析法、頻域分析法、時域分析法等。最終選取最具代表性的列車轉子的三種典型故障類型,獲取其振動信號,運用正確合理的FFT對信號進行頻譜分析,結合模糊C-均值算法,來實現列車故障的智能診斷。整體分為三層:第一層獲得信號,即列車振動信號實驗數據的獲得;第二層特征提取,利用FFT進行頻域分析,然后選擇其中可以反映不同故障類型的幾個特征值;第三層是診斷,先利用樣本數據進行建模,完成一個MATLAB GUI人機對話友好界面,并進行系統編程,最終設計出一個成功的列車模糊智能診斷系統。35581
畢業論文關鍵詞:列車;故障診斷;模糊C-均值算法;MATLAB;FFT
The design of fuzzy intelligent diagnosis system for train
Abstract:In recent years, the development of China's railway and train is developing rapidly, the number and speed of high-speed train have been greatly improved, the safety requirements are higher and higher. In this paper, a kind of intelligent diagnosis system for train is developed based on the malfunction of the train running. I studied the structural characteristics of the key mechanical parts of the train, understanded and mastered these vital components of the vibration mechanism, learned train vibration signal analysis methods, such as amplitude analysis method, frequency domain analysis, time domain analysis and so on.Ultimately I selected the most representative of the rotor train three typical fault type and obtain the vibration signal, and did the signal spectrum analysis based on FFT correct and reasonable, combined with fuzzy c-means algorithm, to achieve train fault intelligent diagnosis. Whole is pided into three layers: the first layer to obtain a signal that the train vibration signal obtained experimental data; the second layer is feature extraction, use FFT frequency domain analysis, then choose one to reflect several different types of fault characteristic value; the third layer is the diagnosis, model using the sample data, complet a MATLAB GUI interactive friendly interface, and program, design a successful train fuzzy intelligent diagnostic systems finaly.
源¥自%六:維;論-文'網=www.aftnzs.live

Key words: Train; Fault diagnosis;Fuzzy C-Means;MATLAB;FFT
 目  錄
1 緒論    1
1.1 課題的目的及意義    1
1.2 國內外研究現狀    1
1.2.1 列車故障診斷技術    1
1.2.2 模糊C-均值算法    3
1.3 本文的主要內容    3
2 列車關鍵部件的故障分析    5
2.1 滾動軸承的檢測與故障診斷    5
2.1.1 滾動軸承故障的基本形式    5
2.1.2 滾動軸承的振動    6
2.1.3 滾動軸承異常振動的診斷方法    6
2.2 齒輪的檢測與故障診斷    6
2.2.1 齒輪失效的基本形式    6
2.2.2 齒輪的振動信號特征    7
2.2.3 齒輪故障的時域診斷分析    8
2.3 轉子的檢測與故障診斷    8
2.3.1 轉子故障的基本形式    8
2.3.2 轉子的振動機理    10
2.3.3 轉子故障振動信號的分析方法    11
2.4 本章小結    12
3 模糊C-均值算法    13
3.1 模糊C-均值算法簡介    13
3.1.1 模糊C-均值算法的概念    13 MATLAB列車模糊智能診斷系統設計:http://www.aftnzs.live/zidonghua/20190519/33604.html
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