高功率密度柴油机气门间隙故障信号提取
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摘要
为有效地从实测的高功率密度柴油机机体表面振动信号中提取气门间隙故障特征,设计开发了高功率密度柴油机械振动信号收集装置,提出使用聚合经验模态分解(EEMD)结合相关系数法对高功率密度柴油机故障信号进行预处理。然后,运用信息熵进行特征提取。通过试验表明,聚合经验模态分解原始信号可以得到更加有效的特征参数。
To extract the characteristics of valve clearance fault from the high power density diesel engine surface vibration signals,we have designed a high power density diesel mechanical vibration signal collection device,and make the use of Ensemble Empirical Mode Decomposition(EEMD) combined with correlation coefficient method for pretreatment of high power density diesel engine signals.Then,the Fractal Fuzzy Entropy is used to extract the feature.Experiments indicated that the diagnosed results of all samples conform to actualities.And the method can get the feature parameter effectively.
To extract the characteristics of valve clearance fault from the high power density diesel engine surface vibration signals,we have designed a high power density diesel mechanical vibration signal collection device,and make the use of Ensemble Empirical Mode Decomposition(EEMD) combined with correlation coefficient method for pretreatment of high power density diesel engine signals.Then,the Fractal Fuzzy Entropy is used to extract the feature.Experiments indicated that the diagnosed results of all samples conform to actualities.And the method can get the feature parameter effectively.
引文
[1]吴震宇,袁惠群,李沈.基于EMD和模糊聚类的柴油机故障诊断[J].东北大学学报(自然科学版),2009,30(12):1784-1787.
[2]张俊红,王健,毕凤荣,等.基于EMD和时频分析的低振动机体结构优化研究[J].振动与冲击,2014,33(3):117-144.
[3]S Deng,Seng-Yi Lin,We-Luan Chang.Application of Multiclass Support Vector Machines for Fault Diagnosis of Field Air Defense Gun[J].Expert System with Application,2011,38:6007-6013.
[4]陈仁祥,汤宝平,吕忠亮.基于相关系数的EEMD转子振动信号降噪方法[J].振动、测试与诊断,2012,32(4):542-546.
[5]李兆飞,柴毅,李华峰.多重分形的振动信号故障特征提取方法[J].数据采集与处理,2013,28(1):237-243.
[6]李兵,张培林,任国全,等.形态学广义分形维数在发动机故障诊断中的应用[J].振动与冲击,2011,30(10):208-211.
[7]Wu Z H,Huang N E.Ensemble empirical mode decomposition:a noise assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):7-12.
[8]杨明伦,邵华.基于EEMD和IMF能量分布的刀具破损识别[J].组合机床与自动化加工技术,2013(4):54-58.
[9]邓艾东,赵力,包永强.基于模糊熵的转子碰摩声发射信号的识别[J].机械工程学报,2010,46(3):71-75.
[2]张俊红,王健,毕凤荣,等.基于EMD和时频分析的低振动机体结构优化研究[J].振动与冲击,2014,33(3):117-144.
[3]S Deng,Seng-Yi Lin,We-Luan Chang.Application of Multiclass Support Vector Machines for Fault Diagnosis of Field Air Defense Gun[J].Expert System with Application,2011,38:6007-6013.
[4]陈仁祥,汤宝平,吕忠亮.基于相关系数的EEMD转子振动信号降噪方法[J].振动、测试与诊断,2012,32(4):542-546.
[5]李兆飞,柴毅,李华峰.多重分形的振动信号故障特征提取方法[J].数据采集与处理,2013,28(1):237-243.
[6]李兵,张培林,任国全,等.形态学广义分形维数在发动机故障诊断中的应用[J].振动与冲击,2011,30(10):208-211.
[7]Wu Z H,Huang N E.Ensemble empirical mode decomposition:a noise assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):7-12.
[8]杨明伦,邵华.基于EEMD和IMF能量分布的刀具破损识别[J].组合机床与自动化加工技术,2013(4):54-58.
[9]邓艾东,赵力,包永强.基于模糊熵的转子碰摩声发射信号的识别[J].机械工程学报,2010,46(3):71-75.