小波分析在TRT发电机组故障诊断中的应用研究
发布时间：2019-06-03 17:58
【摘要】：机械设备状态监测与故障诊断是一门综合性技术，其本质是对机器运行状态进行模式识别。首先对故障信号的特征进行提取和分类，然后通过一定的智能手段进行有效地识别。而特征提取的有效性以及准确性是机械故障诊断的关键。 TRT发电机组的稳定运行，无论从节能环保的社会效益角度还是从企业的经济效益角度出发，维持TRT发电机组平稳、高效、稳定的运行都是百利而无一害的。而在实际生产运行过程中，往往TRT发电机组的运行状态劣化的初始都是从机组的振动发生变化开始的，，因此对TRT发电机组进行振动分析和故障诊断是非常必要的。 本课题以TRT发电机组系统为研究对象，首先采用频谱分析方法对TRT发电机组系统的振动信号进行频谱分析，判断TRT发电机组系统工作状态，发现TRT发电机组系统存在不平衡故障；其次为进一步确认所诊断的故障的准确性，采用小波分析方法对TRT发电机组系统再进行诊断，即采用db10小波进行5层小波分解，求出小波重构序列的特征向量，将所得到的特征向量与典型故障特征向量进行比较，并借助MATLAB小波工具箱对振动信号进行小波分解与重构，对TRT发电机组系统做进一步故障诊断分析，确定故障类型。分析结果表明，TRT发电机组系统确实存在不平衡故障，同时也证明小波分析方法应用在TRT发电机组系统进行故障诊断的可行性，为企业建立有针对性的维修体制具有一定的指导意义。
[Abstract]:Condition monitoring and fault diagnosis of mechanical equipment is a comprehensive technology, the essence of which is pattern recognition of machine running state. Firstly, the features of fault signal are extracted and classified, and then the fault signal is identified effectively by certain intelligent means. The effectiveness and accuracy of feature extraction is the key to mechanical fault diagnosis. The stable operation of TRT generator set, whether from the point of view of social benefits of energy saving and environmental protection or from the point of view of economic benefits of enterprises, to maintain the stable, efficient and stable operation of TRT generating set is beneficial without harm. In the actual production and operation process, the deterioration of the operation state of the TRT generator set begins with the change of the vibration of the unit, so it is very necessary to carry out vibration analysis and fault diagnosis of the TRT generator set. In this paper, the TRT generator set system is taken as the research object. Firstly, the spectrum analysis method is used to analyze the vibration signal of the TRT generator set system, and the working state of the TRT generator set system is judged. It is found that there is imbalance fault in TRT generator set system. Secondly, in order to further confirm the accuracy of the fault diagnosis, the wavelet analysis method is used to diagnose the TRT generator set system, that is, the db10 wavelet is used for five-layer wavelet decomposition, and the eigenvector of the wavelet reconstruction sequence is obtained. The obtained eigenvector is compared with the typical fault eigenvector, and the vibration signal is decomposed and reconstructed by means of MATLAB wavelet toolbox. The further fault diagnosis and analysis of TRT generator set system is carried out, and the fault type is determined. The analysis results show that there is an unbalanced fault in the TRT generator set system, and it is also proved that the wavelet analysis method is feasible to apply the wavelet analysis method to the fault diagnosis of the TRT generator set system. It is of certain guiding significance to establish a targeted maintenance system for enterprises.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH165.3;TM31
本文编号：2492114
[Abstract]:Condition monitoring and fault diagnosis of mechanical equipment is a comprehensive technology, the essence of which is pattern recognition of machine running state. Firstly, the features of fault signal are extracted and classified, and then the fault signal is identified effectively by certain intelligent means. The effectiveness and accuracy of feature extraction is the key to mechanical fault diagnosis. The stable operation of TRT generator set, whether from the point of view of social benefits of energy saving and environmental protection or from the point of view of economic benefits of enterprises, to maintain the stable, efficient and stable operation of TRT generating set is beneficial without harm. In the actual production and operation process, the deterioration of the operation state of the TRT generator set begins with the change of the vibration of the unit, so it is very necessary to carry out vibration analysis and fault diagnosis of the TRT generator set. In this paper, the TRT generator set system is taken as the research object. Firstly, the spectrum analysis method is used to analyze the vibration signal of the TRT generator set system, and the working state of the TRT generator set system is judged. It is found that there is imbalance fault in TRT generator set system. Secondly, in order to further confirm the accuracy of the fault diagnosis, the wavelet analysis method is used to diagnose the TRT generator set system, that is, the db10 wavelet is used for five-layer wavelet decomposition, and the eigenvector of the wavelet reconstruction sequence is obtained. The obtained eigenvector is compared with the typical fault eigenvector, and the vibration signal is decomposed and reconstructed by means of MATLAB wavelet toolbox. The further fault diagnosis and analysis of TRT generator set system is carried out, and the fault type is determined. The analysis results show that there is an unbalanced fault in the TRT generator set system, and it is also proved that the wavelet analysis method is feasible to apply the wavelet analysis method to the fault diagnosis of the TRT generator set system. It is of certain guiding significance to establish a targeted maintenance system for enterprises.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH165.3;TM31
【参考文献】
相关期刊论文 前8条
1 简小刚;张艳伟;冯跃;;工程机械故障诊断技术的研究现状与发展趋势[J];中国工程机械学报;2005年04期
2 刘进林,赵忆农,赵秀梅;高炉煤气余压透平发电技术的应用[J];华东电力;2001年08期
3 叶长青;高炉煤气余压透平发电装置(TRT)的发展与创新[J];节能;2000年08期
4 冯祖强;;高炉炉顶煤气余压发电(TRT)技术[J];柳钢科技;2011年02期
5 陈海宗;谢超雄;叶正文;李长利;;大型旋转设备在线监测系统的应用[J];烧结球团;2009年02期
6 杨晓明;;TRT技术在天钢3200m~3高炉的应用[J];天津冶金;2009年01期
7 何岭松,李巍华;用Morlet小波进行包络检波分析[J];振动工程学报;2002年01期
8 胡汉辉;杨洪;谭青;易念恩;;基于小波分析的风机故障诊断[J];中南大学学报(自然科学版);2007年06期
相关博士学位论文 前2条
1 余红英;机械系统故障信号特征提取技术研究[D];中北大学;2005年
2 谭树彬;轧机厚控系统状态监测与故障诊断的研究与应用[D];东北大学;2006年
相关硕士学位论文 前2条
1 丁晓伟;基于小波分析与神经网络的转子状态检测与识别方法研究[D];东南大学;2004年
2 周亮;基于小波分析的齿轮箱故障诊断技术的分析与研究[D];武汉科技大学;2009年
本文编号：2492114
本文链接：https://www.wllwen.com/kejilunwen/jixiegongcheng/2492114.html
