基于信息融合的汽轮发电机组振动分析与诊断技术研究

发布时间：2018-06-16 07:32

本文选题：汽轮发电机组 + 信息融合　；参考：《华北电力大学》2017年硕士论文

【摘要】：现场对汽轮发电机组振动故障诊断过程中会有以下几个问题:1.不同故障表现出的故障特征相似,增加工作人员对故障识别的难度。2.由于汽轮发电机组的结构复杂性以及运行条件的多样性,基于不同方法的诊断技术有时会冲突,导致诊断出现偏差或处理方法错误,不能满足机组长期安全稳定运行需求。3.对故障处理过程中往往只选择单通道或双通道信息进行故障识别及处理,不能全面的利用转子各截面振动信息,往往造成处理结果出现偏差。因此,提高对故障诊断的精确性尤为重要。本文结合信息融合理论分析和试验研究了信息融合技术在现场故障诊断中的应用,结合多跨度转子多截面振动信息对现场故障进行识别及处理。主要研究工作如下:根据信息融合技术理论,运用实验验证信息融合对不平衡故障大小、方向的具体的识别方法。结合信息融合技术理论公式及相似振动故障机理,运用MATLAB编写出三维多截面信息融合模型,采样相似故障振动数据,分析出相似故障在信息融合技术中的差异性。建立力学模型,结合谐分量法推导出转子发生不平衡故障下的轴向位置,运用实验台进行试验,验证理论的正确性;进一步测量出转子多个截面的振动数据,根据截面的幅值相位关系做出转子的空间振型图,在转子某一部位加入失衡故障,分析不平衡故障位置与测点位置响应的相关性研究。根据信息融合技术对故障的识别方法,运用在现场实际处理过程中,根据现场振动数据,输入到MATLAB建立的三维信息融合模型,运用信息融合技术实际解决工况下的机组振动故障问题。根据现场工况的复杂性调整信息融合技术在现场中的应用。研究表明,信息融合技术可以识别出相似故障,现场实用中可靠性较高,是转子振动故障诊断的有效方法。
[Abstract]:In the process of vibration fault diagnosis of turbine-generator set, there are several questions: 1. 1. Different faults show similar fault characteristics, increasing the difficulty of fault identification. 2. Due to the complexity of the structure and the variety of operation conditions of turbogenerator sets, the diagnostic techniques based on different methods sometimes conflict, leading to errors in diagnosis or treatment methods, which can not meet the requirements of long-term safe and stable operation. In the process of fault processing, only single channel or two channel information is chosen for fault identification and processing, and the vibration information of each section of rotor can not be fully utilized, which often results in the deviation of processing results. Therefore, it is very important to improve the accuracy of fault diagnosis. In this paper, the application of information fusion technology in field fault diagnosis is studied based on the information fusion theory, and the field fault identification and treatment are carried out by combining the vibration information of multi-span rotor and multi-section. The main research work is as follows: according to the theory of information fusion, the method of identifying the magnitude and direction of unbalanced faults by information fusion is verified by experiments. Combining with the theoretical formula of information fusion technology and the mechanism of similar vibration fault, a three-dimensional multi-section information fusion model is compiled by MATLAB, and the vibration data of similar fault are sampled, and the difference of similar fault in information fusion technology is analyzed. The mechanical model is established, the axial position of rotor under unbalanced fault is deduced by the harmonic component method, the correctness of the theory is verified by the experiment bench, and the vibration data of many sections of the rotor are further measured. According to the amplitude-phase relation of the section, the spatial mode diagram of the rotor is made, and the unbalanced fault is added to a certain part of the rotor, and the correlation between the unbalance fault location and the response of the measuring point is analyzed. According to the fault identification method of information fusion technology, the 3D information fusion model established by MATLAB is inputted to the 3D information fusion model based on the field vibration data in the process of field actual processing. The information fusion technology is used to solve the vibration fault problem of the unit under working conditions. The application of information fusion technology in the field is adjusted according to the complexity of the field operation. The research shows that the information fusion technology can identify similar faults and has high reliability in field application. It is an effective method for rotor vibration fault diagnosis.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM311;TP202

【参考文献】