风力发电机组故障诊断技术研究

发布时间：2018-03-03 07:01

本文选题：风力发电机组　切入点：故障诊断　出处：《北京邮电大学》2015年硕士论文　论文类型：学位论文

【摘要】：由于不可再生能源越来越匮乏,全球越来越关注可再生能源的利用。其中最具有发展前景的风力发电技术越来越受到各国关注,市场占有率越来越高。因而风力发电机组的故障诊断对生产效益的制约越来越明显,世界各国都在进行风力发电机组故障诊断技术研究,以期望能及时发现故障,减少停机时间,提高生产率。本文开展了风力发电机组故障诊断技术研究。风电机组故障诊断涉及到数据传输,数据处理、故障诊断技术等多项关键技术点。风力发电机组的故障多种多样,本文在对其故障的振动特征研究的基础上,在Windows平台上搭建了基于Internet远程故障诊断平台。在该平台上远程端与工控PC可进行远程通信、数据采集和故障诊断。提出了小波包变换与关联维数相结合的方法来进行故障诊断,有别于传统的方法,从时域、频域和空间三方面综合分析振动信号的故障特征,是本研究的一大特色。根据系统的框架和功能需求,自行研发了风电机组振动监测箱和风力发电机组故障诊断软件。对硬件和软件进行了实现,并结合风力发电机组故障实测数据对论文所提出的风力发电机组故障诊断方法进行的验证。数据测试结果表明,论文所提出的故障诊断方法准确、可靠、效率高。
[Abstract]:Due to the increasing scarcity of non-renewable sources of energy, there is a growing global focus on the use of renewable sources of energy. Among them, wind power technologies, which have the greatest potential for development, are receiving increasing attention from all countries, The market share is getting higher and higher. Therefore, the restriction of wind turbine fault diagnosis on production benefit is becoming more and more obvious. All countries in the world are carrying out research on fault diagnosis technology of wind turbine generator, in order to expect to find fault in time. To reduce downtime and improve productivity. This paper studies the fault diagnosis technology of wind turbine. The fault diagnosis of wind turbine is related to data transmission, data processing, In this paper, the vibration characteristics of wind turbine are studied on the basis of the research on the vibration characteristics of the wind turbine. A remote fault diagnosis platform based on Internet is set up on Windows platform, where remote communication, data acquisition and fault diagnosis can be carried out between remote terminal and industrial PC. A method of combining wavelet packet transform and correlation dimension is proposed to carry out fault diagnosis. Different from the traditional methods, the fault characteristics of vibration signals are analyzed comprehensively from three aspects: time domain, frequency domain and space. The vibration monitoring box of wind turbine and the fault diagnosis software of wind turbine are developed, and the hardware and software are realized. The test results show that the fault diagnosis method proposed in this paper is accurate, reliable and efficient.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM315

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