【摘要】：風力發(fā)電是目前世界上最受關(guān)注的清潔能源發(fā)電技術(shù),對于人類社會改變能源結(jié)構(gòu)具有重要作用,對地球環(huán)境的未來有深刻影響。風力發(fā)電系統(tǒng)在實際運行中會出現(xiàn)故障,影響風電場正常發(fā)電,降低風力發(fā)電經(jīng)濟水平。因此,對于風力發(fā)電機的故障診斷十分必要。目前經(jīng)常使用的技術(shù)是振動信號檢測風機故障,應(yīng)用比較成熟,但是硬件成本高,傳感器安裝位置受限,且因工作環(huán)境惡劣,信噪比不高,維護成本高。定子電流檢測法作為一種新型電機故障診斷技術(shù),具有成本低、安裝方便等一系列優(yōu)點,更適合當前風力發(fā)電精細化管理趨勢,得到國內(nèi)外研究人員的關(guān)注。本文首先介紹了電機主要故障類型和故障診斷技術(shù)的現(xiàn)狀及發(fā)展趨勢,研究了國內(nèi)外相關(guān)課題的研究現(xiàn)狀。其次介紹定子電流檢測法的基本原理和發(fā)展現(xiàn)狀,對于各類電機故障利用定子電流檢測法診斷的原理、發(fā)展情況。利用軸承故障特征頻率推導軸承故障情況下氣隙磁場隨時間和位置的變化情況,為推導故障情況下定子電流特征頻率做鋪墊。本文詳細分析軸承故障和氣隙偏心故障機理,以電機學、電磁理論為基礎(chǔ),研究故障發(fā)生后電機內(nèi)部參量的變化情況,推導不同故障定子電流特征頻率,并進一步得到氣隙偏心和軸承故障同時發(fā)生時的電機內(nèi)部參數(shù)情況和定子電流特征頻率。利用ANSOFT Maxwell有限元仿真軟件對電機進行建模,并模擬偏心故障情況,和工程電磁場仿真軟件ANSYS Simplorer軟件進行聯(lián)合仿真模擬軸承故障以及偏心故障和軸承故障同時存在的情況,從根本機理上對電機進行故障建模并仿真,Labview軟件進行頻譜處理,驗證理論推導結(jié)果的正確性。
[Abstract]:Wind power generation is the most concerned clean energy power generation technology in the world at present. It plays an important role in changing the energy structure of human society and has a profound impact on the future of the earth environment. Wind power system will break down in actual operation, which will affect the normal power generation of wind farm and reduce the economic level of wind power generation. Therefore, for the wind turbine fault diagnosis is very necessary. At present, the commonly used technology is vibration signal detection fan fault, the application is mature, but the hardware cost is high, the sensor installation position is limited, and because of the bad working environment, the signal-to-noise ratio is not high, the maintenance cost is high. As a new motor fault diagnosis technology, stator current detection method has a series of advantages, such as low cost, convenient installation and so on. It is more suitable for the current fine management trend of wind power generation, and has attracted the attention of researchers at home and abroad. This paper first introduces the main fault types of motor and the current situation and development trend of fault diagnosis technology, and studies the research status of related topics at home and abroad. Secondly, the basic principle and development status of stator current detection method are introduced, and the principle and development of using stator current detection method to diagnose various kinds of motor faults are introduced. The variation of air gap magnetic field with time and position under bearing fault is deduced by using bearing fault characteristic frequency. In this paper, the mechanism of bearing fault and air gap eccentricity fault is analyzed in detail. Based on the theory of motor and electromagnetism, the variation of motor internal parameters is studied, and the characteristic frequency of stator current of different faults is deduced. Furthermore, the internal parameters and stator current characteristic frequency of the motor when the air gap eccentricity and bearing fault occur simultaneously are obtained. ANSOFT Maxwell finite element simulation software is used to model the motor, and the eccentricity fault is simulated, and the engineering electromagnetic field simulation software ANSYS Simplorer is used to simulate the bearing fault, the eccentric fault and the bearing fault simultaneously. Based on the fundamental mechanism, the fault modeling and simulation of the motor are carried out, and the frequency spectrum is processed by Labview software, which verifies the correctness of the theoretical derivation.
【學位授予單位】：華北電力大學(北京)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM315

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本文編號：2348921