本文主要研究内容
作者李颖（2019）在《往复压缩机滑动轴承间隙复合故障诊断方法研究》一文中研究指出：往复压缩机是石油、化工等领域用于压缩和输送气体的关键设备,一旦发生事故会造成巨大的经济损失和人员伤亡,因此,研究往复压缩机故障诊断技术对保证其正常运行具有重要意义。本文以往复压缩机传动机构滑动轴承间隙复合故障为研究对象,从故障诊断过程的数据获取、特征提取和状态识别角度出发,深入研究多体动力学仿真、信号处理方法、盲源信号处理技术和智能模式识别等方法,结合往复压缩机滑动轴承间隙复合故障振动信号特性,提出了一套有效的往复压缩机滑动轴承间隙复合故障诊断方法。主要工作如下:往复压缩机滑动轴承间隙故障因其隐蔽性和形成周期长,试验成本高等问题,难以开展多类型故障复合试验以致故障数据获取不足,为解决此问题,进行了含间隙运动副的往复压缩机轴承复合故障状态多体动力学仿真方法研究。选取连杆大头轴承及小头轴承间隙故障为研究对象,首先分析影响滑动轴承间隙故障的因素,利用“无质量连接法”建立轴承间隙故障运动学分析模型,运用非线性接触碰撞模型理论建立轴承间隙故障动力学模型,然后利用多体动力学分析软件建立轴承间隙复合故障动力学仿真模型,实现了往复压缩机轴承间隙复合故障状态数据的获取。通过传感器所拾取的往复压缩机轴承间隙复合故障振动信号,往往是多个故障的振动源信号及噪声相互耦合形成的,因实际工作环境及振动传递路径的影响,无法预知往复压缩机轴承间隙复合故障的振动源数目,严重影响了轴承间隙复合故障信号分离结果的正确性,为此,提出了基于时变零相位滤波模式分解和奇异值分解的故障振源数估计方法。经验模式分解(EMD)方法适用于分析非平稳、多变量耦合的信号,但一直存在着端点效应、包络拟合、模态混叠等问题,为此,提出了以高、低频信号分量的时间尺度设计时变滤波器提取均值信号,来替代EMD方法中上下包络线提取均值信号的时变零相位滤波模式分解方法,仿真和实测信号验证了该方法的有效性。同时,考虑到故障振源数受到传感器数量的影响,利用时变零相位滤波模式分解方法将单通道信号扩展为多通道信号数据,形成本征模函数重组信号,对重组后信号进行奇异值分解,根据特征值分布来确定故障振源数。通过仿真和实测信号对比分析,该方法可准确估计出往复压缩机轴承间隙复合故障信号的故障振源数。由于往复压缩机轴承间隙复合故障振动信号为多故障源耦合形成,且轴承间隙故障特征的形态差异性较小,利用常规信号分解方法不能有效地分离形态相似的轴承间隙复合故障特征,可能发生不同故障特征频率混叠,弱故障特征被强故障特征掩盖等问题,提出了一种基于深度字典学习形态分量分析(MCA)的往复压缩机轴承间隙复合故障特征提取方法。首先通过对MCA方法理论知识的研究,针对MCA方法中字典不能最佳匹配复杂信号结构特征的局限性,提出了一种深度字典学习的MCA方法,通过仿真信号验证该方法的有效性。将该方法引入到往复压缩机轴承间隙复合故障特征提取中,通过对不同类型轴承间隙故障振动信号的深度字典学习,获得最佳匹配故障信号特征的字典,并与EMD方法对比,验证基于深度字典学习的MCA方法对往复压缩机轴承复合故障振动信号特征提取的准确性,实现了往复压缩机轴承复合故障特征分量的有效分离和提取。为了准确地把握往复压缩机滑动轴承的健康状态,需要根据故障类别来判断故障位置,进而确定维修的重点部分。针对往复压缩机轴承间隙故障类别与振动响应存在非线性关系的特性,提出了一种基于精细复合多尺度散布熵(RCMDE)的往复压缩机轴承间隙故障特征定量表达方法,实现了不同类别故障特征的表征。又因不同故障类型的故障特征向量存在着很大的相关性,不易辨识。引入具有特征提取能力的深度学习方法,提出了一种基于最大信息系数(MIC)和遗传算法(GA)的深度信念网络(DBN)改进方法,经UCI标准数据集验证该方法的有效性和优越性,并应用于往复压缩机轴承间隙复合故障诊断中,实现了往复压缩机轴承间隙复合故障类型的正确识别与诊断。
Abstract
wang fu ya su ji shi dan you 、hua gong deng ling yu yong yu ya su he shu song qi ti de guan jian she bei ,yi dan fa sheng shi gu hui zao cheng ju da de jing ji sun shi he ren yuan shang wang ,yin ci ,yan jiu wang fu ya su ji gu zhang zhen duan ji shu dui bao zheng ji zheng chang yun hang ju you chong yao yi yi 。ben wen yi wang fu ya su ji chuan dong ji gou hua dong zhou cheng jian xi fu ge gu zhang wei yan jiu dui xiang ,cong gu zhang zhen duan guo cheng de shu ju huo qu 、te zheng di qu he zhuang tai shi bie jiao du chu fa ,shen ru yan jiu duo ti dong li xue fang zhen 、xin hao chu li fang fa 、mang yuan xin hao chu li ji shu he zhi neng mo shi shi bie deng fang fa ,jie ge wang fu ya su ji hua dong zhou cheng jian xi fu ge gu zhang zhen dong xin hao te xing ,di chu le yi tao you xiao de wang fu ya su ji hua dong zhou cheng jian xi fu ge gu zhang zhen duan fang fa 。zhu yao gong zuo ru xia :wang fu ya su ji hua dong zhou cheng jian xi gu zhang yin ji yin bi xing he xing cheng zhou ji chang ,shi yan cheng ben gao deng wen ti ,nan yi kai zhan duo lei xing gu zhang fu ge shi yan yi zhi gu zhang shu ju huo qu bu zu ,wei jie jue ci wen ti ,jin hang le han jian xi yun dong fu de wang fu ya su ji zhou cheng fu ge gu zhang zhuang tai duo ti dong li xue fang zhen fang fa yan jiu 。shua qu lian gan da tou zhou cheng ji xiao tou zhou cheng jian xi gu zhang wei yan jiu dui xiang ,shou xian fen xi ying xiang hua dong zhou cheng jian xi gu zhang de yin su ,li yong “mo zhi liang lian jie fa ”jian li zhou cheng jian xi gu zhang yun dong xue fen xi mo xing ,yun yong fei xian xing jie chu peng zhuang mo xing li lun jian li zhou cheng jian xi gu zhang dong li xue mo xing ,ran hou li yong duo ti dong li xue fen xi ruan jian jian li zhou cheng jian xi fu ge gu zhang dong li xue fang zhen mo xing ,shi xian le wang fu ya su ji zhou cheng jian xi fu ge gu zhang zhuang tai shu ju de huo qu 。tong guo chuan gan qi suo she qu de wang fu ya su ji zhou cheng jian xi fu ge gu zhang zhen dong xin hao ,wang wang shi duo ge gu zhang de zhen dong yuan xin hao ji zao sheng xiang hu ou ge xing cheng de ,yin shi ji gong zuo huan jing ji zhen dong chuan di lu jing de ying xiang ,mo fa yu zhi wang fu ya su ji zhou cheng jian xi fu ge gu zhang de zhen dong yuan shu mu ,yan chong ying xiang le zhou cheng jian xi fu ge gu zhang xin hao fen li jie guo de zheng que xing ,wei ci ,di chu le ji yu shi bian ling xiang wei lv bo mo shi fen jie he ji yi zhi fen jie de gu zhang zhen yuan shu gu ji fang fa 。jing yan mo shi fen jie (EMD)fang fa kuo yong yu fen xi fei ping wen 、duo bian liang ou ge de xin hao ,dan yi zhi cun zai zhao duan dian xiao ying 、bao lao ni ge 、mo tai hun die deng wen ti ,wei ci ,di chu le yi gao 、di pin xin hao fen liang de shi jian che du she ji shi bian lv bo qi di qu jun zhi xin hao ,lai ti dai EMDfang fa zhong shang xia bao lao xian di qu jun zhi xin hao de shi bian ling xiang wei lv bo mo shi fen jie fang fa ,fang zhen he shi ce xin hao yan zheng le gai fang fa de you xiao xing 。tong shi ,kao lv dao gu zhang zhen yuan shu shou dao chuan gan qi shu liang de ying xiang ,li yong shi bian ling xiang wei lv bo mo shi fen jie fang fa jiang chan tong dao xin hao kuo zhan wei duo tong dao xin hao shu ju ,xing cheng ben zheng mo han shu chong zu xin hao ,dui chong zu hou xin hao jin hang ji yi zhi fen jie ,gen ju te zheng zhi fen bu lai que ding gu zhang zhen yuan shu 。tong guo fang zhen he shi ce xin hao dui bi fen xi ,gai fang fa ke zhun que gu ji chu wang fu ya su ji zhou cheng jian xi fu ge gu zhang xin hao de gu zhang zhen yuan shu 。you yu wang fu ya su ji zhou cheng jian xi fu ge gu zhang zhen dong xin hao wei duo gu zhang yuan ou ge xing cheng ,ju zhou cheng jian xi gu zhang te zheng de xing tai cha yi xing jiao xiao ,li yong chang gui xin hao fen jie fang fa bu neng you xiao de fen li xing tai xiang shi de zhou cheng jian xi fu ge gu zhang te zheng ,ke neng fa sheng bu tong gu zhang te zheng pin lv hun die ,ruo gu zhang te zheng bei jiang gu zhang te zheng yan gai deng wen ti ,di chu le yi chong ji yu shen du zi dian xue xi xing tai fen liang fen xi (MCA)de wang fu ya su ji zhou cheng jian xi fu ge gu zhang te zheng di qu fang fa 。shou xian tong guo dui MCAfang fa li lun zhi shi de yan jiu ,zhen dui MCAfang fa zhong zi dian bu neng zui jia pi pei fu za xin hao jie gou te zheng de ju xian xing ,di chu le yi chong shen du zi dian xue xi de MCAfang fa ,tong guo fang zhen xin hao yan zheng gai fang fa de you xiao xing 。jiang gai fang fa yin ru dao wang fu ya su ji zhou cheng jian xi fu ge gu zhang te zheng di qu zhong ,tong guo dui bu tong lei xing zhou cheng jian xi gu zhang zhen dong xin hao de shen du zi dian xue xi ,huo de zui jia pi pei gu zhang xin hao te zheng de zi dian ,bing yu EMDfang fa dui bi ,yan zheng ji yu shen du zi dian xue xi de MCAfang fa dui wang fu ya su ji zhou cheng fu ge gu zhang zhen dong xin hao te zheng di qu de zhun que xing ,shi xian le wang fu ya su ji zhou cheng fu ge gu zhang te zheng fen liang de you xiao fen li he di qu 。wei le zhun que de ba wo wang fu ya su ji hua dong zhou cheng de jian kang zhuang tai ,xu yao gen ju gu zhang lei bie lai pan duan gu zhang wei zhi ,jin er que ding wei xiu de chong dian bu fen 。zhen dui wang fu ya su ji zhou cheng jian xi gu zhang lei bie yu zhen dong xiang ying cun zai fei xian xing guan ji de te xing ,di chu le yi chong ji yu jing xi fu ge duo che du san bu shang (RCMDE)de wang fu ya su ji zhou cheng jian xi gu zhang te zheng ding liang biao da fang fa ,shi xian le bu tong lei bie gu zhang te zheng de biao zheng 。you yin bu tong gu zhang lei xing de gu zhang te zheng xiang liang cun zai zhao hen da de xiang guan xing ,bu yi bian shi 。yin ru ju you te zheng di qu neng li de shen du xue xi fang fa ,di chu le yi chong ji yu zui da xin xi ji shu (MIC)he wei chuan suan fa (GA)de shen du xin nian wang lao (DBN)gai jin fang fa ,jing UCIbiao zhun shu ju ji yan zheng gai fang fa de you xiao xing he you yue xing ,bing ying yong yu wang fu ya su ji zhou cheng jian xi fu ge gu zhang zhen duan zhong ,shi xian le wang fu ya su ji zhou cheng jian xi fu ge gu zhang lei xing de zheng que shi bie yu zhen duan 。
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论文详细介绍
论文作者分别是来自东北石油大学的李颖，发表于刊物东北石油大学2019-07-15论文，是一篇关于往复压缩机论文,经验模式分解论文,形态分量分析论文,多尺度散布熵论文,深度信念网络论文,故障诊断论文,东北石油大学2019-07-15论文的文章。本文可供学术参考使用，各位学者可以免费参考阅读下载，文章观点不代表本站观点，资料来自东北石油大学2019-07-15论文网站，若本站收录的文献无意侵犯了您的著作版权，请联系我们删除。
标签：往复压缩机论文; 经验模式分解论文; 形态分量分析论文; 多尺度散布熵论文; 深度信念网络论文; 故障诊断论文; 东北石油大学2019-07-15论文;