本文選題：集成經(jīng)驗?zāi)B(tài)分解 + 本征時間尺度分解��； 參考：《上海交通大學(xué)》2013年碩士論文

【摘要】：風(fēng)機、壓縮機和汽輪機等旋轉(zhuǎn)機械設(shè)備廣泛應(yīng)用于現(xiàn)代化工業(yè)生產(chǎn)實踐中，對這些設(shè)備開展?fàn)顟B(tài)監(jiān)測與故障診斷工作，保障設(shè)備安全可靠的運行，具有重要的經(jīng)濟意義和社會意義。根據(jù)振動信號對旋轉(zhuǎn)機械進行狀態(tài)監(jiān)測與故障診斷目前是設(shè)備管理維護的主要手段。對振動信號進行特征提取和分析，是進行準(zhǔn)確診斷的必要前提。 本文實現(xiàn)并改進了多種振動信號處理方法，并將其集成到《振動信號離線分析系統(tǒng)》之中，應(yīng)用系統(tǒng)對仿真信號、實驗室模擬信號和工程實際信號進行了全方位的分析，驗證了算法的準(zhǔn)確性和有效性。二十余種信號處理方法使得該系統(tǒng)功能豐富，算法上的改進使其分析效果更加理想，對提高我國旋轉(zhuǎn)機械的故障診斷系統(tǒng)水平具有重要意義。 在此基礎(chǔ)上，，深入研究了集成經(jīng)驗?zāi)B(tài)分解（EEMD）和固有時間尺度（ITD）方法。EEMD是在經(jīng)驗?zāi)Ｊ椒纸猓‥MD）的基礎(chǔ)上通過引入白噪聲改進EMD缺點的一種新方法；ITD作為非平穩(wěn)信號的有效信號處理方法，具有計算效率高等優(yōu)點。EEMD和ITD兩種方法都有效的解決了EMD方法的端點效應(yīng)、模式混疊等缺點。本文不僅通過仿真信號對EMD、EEMD和ITD的分析效果進行了對比，總結(jié)了三種信號處理方法的優(yōu)缺點，而且應(yīng)用EEMD、ITD對齒輪實驗臺和水泥廠高溫風(fēng)機進行故障診斷，獲取了設(shè)備的故障特征。 音頻信號與振動信號均包含著機組運行狀態(tài)信息，兩者相結(jié)合能夠獲取設(shè)備更加全面的信息。因此，本文在對利用振動信號對旋轉(zhuǎn)機械進行故障診斷的基礎(chǔ)上，以風(fēng)力發(fā)電機組傳動系統(tǒng)為研究對象，提出了聲振耦合的分析方法。該方法的提出為旋轉(zhuǎn)機械故障診斷提供了一個新的思路，將此方法應(yīng)用到風(fēng)力發(fā)電機組傳動系統(tǒng)的整機評估和故障診斷中具有明顯效果。
[Abstract]:Rotating machinery, such as fans, compressors and steam turbines, is widely used in modern industrial production practices. The monitoring and fault diagnosis of these equipment is carried out to ensure the safe and reliable operation of the equipment. It has important economic and social significance. State monitoring and fault diagnosis of rotating machinery based on vibration signal are the main means of equipment management and maintenance. Feature extraction and analysis of vibration signal is a necessary prerequisite for accurate diagnosis. In this paper, a variety of vibration signal processing methods are realized and improved, and integrated into the "Vibration signal Off-Line Analysis system". The simulation signal, the laboratory analog signal and the engineering actual signal are analyzed in all directions by the application of the system. The accuracy and validity of the algorithm are verified. More than 20 kinds of signal processing methods make the system rich in function, and the improvement of algorithm makes the analysis effect more ideal. It is of great significance to improve the level of fault diagnosis system of rotating machinery in China. On this basis, the methods of integrated empirical mode decomposition (EEMD) and inherent time scale (ITD) are studied. EEMD is a new method to improve the shortcomings of EMD by introducing white noise on the basis of empirical mode decomposition (EMD). ITD, as an effective signal processing method for non-stationary signals, has the advantages of high computational efficiency. Both EEMD and ITD can effectively solve the endpoints effect and mode aliasing of EMD. This paper not only compares the analysis results of EMDEEMD and ITD by simulation signal, summarizes the advantages and disadvantages of three signal processing methods, but also applies EEMD-ITD to fault diagnosis of gear test table and high temperature fan in cement plant. The fault characteristics of the equipment are obtained. Both audio signal and vibration signal contain the operation state information of the unit, and the combination of the two signals can obtain more comprehensive information of the equipment. Therefore, on the basis of fault diagnosis of rotating machinery using vibration signals, this paper presents an analysis method of acoustic-vibration coupling based on wind turbine transmission system. This method provides a new idea for the fault diagnosis of rotating machinery, and the application of this method to the whole machine evaluation and fault diagnosis of wind turbine transmission system has obvious effect.
【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TH165.3

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