摘要
以往复压缩机环状气阀为研究对象,通过加速度振动传感器测试了其正常运行状态下的振动信号,通过对其进行局部均值分解(LMD),得出了信号所对应的多个乘积函数(PF)分量,并提取这些PF分量的3大特征参数因子,包括偏度系数(gi)、峭度系数(qi)和总能量比(Ei/E)。然后对气阀进行不同种类的破坏,包括锯断阀片、去除气阀内部分弹簧和对阀片打孔,并对破坏后的气阀运行振动信号进行相同的分析得出相应的参数因子,与气阀正常运行时对应参数因子进行比较。结果显示,在阀片锯断和气阀去弹簧2种状态下,气阀振动信号得出的相应特征参数因子都会出现反映气阀故障的异常值,但在气阀阀片打孔的状态下则不明显。以上说明LMD方法虽然具有一定的局限性,但是能够准确、有效地对往复压缩机气阀振动信号进行判断,从而实现对气阀的工作状态和故障类型进行分类,是研究气阀故障诊断的实用方法。
By taking the annular valve of reciprocating compressor as the research object,the vibration signal of the reciprocating compressor annular valve under its normal operating state was tested by the accelerometer vibration sensor.Through local mean decomposition(LMD),several product function(PF)components corresponding to the signal were obtained,and three major characteristic parameter factors of these PF components were extracted,including the skewness coefficient(gi),kurtosis coefficient(qi)and total energy ratio(Ei/E).Then the valve was damaged in different ways,including sawing off the valve plate,removing some springs from the valve and drilling holes on the valve plate,the same analysis was performed on the operating vibration signal of the damaged valve plate to obtain the corresponding parameter factors,which were compared with corresponding parameter factors of the normal valve.The results show that in the two states of sawing-off of the valve plate and removal of part springs,the valve vibration signal obtained by the corresponding characteristic parameter factor will reflect the abnormal value of the valve fault,but this is not obvious in perforated state of valve plate.The above shows that although the LMD method has some limitations,it can accurately and effectively judge the valve vibration signal of reciprocating compressor so as to classify the working state and the type of fault of the valve,so it is a practical method to study the diagnosis of valve fault.
作者
舒悦
谢传东
何明
刘晓明
刘志龙
曹斌
Shu Yue;Xie Chuandong;He Ming;Liu Xiaoming;Liu Zhilong;Cao Bin(State Key Laboratory of Compressor Technology,Hefei General Machinery Research Institute Co.,Ltd.,Hefei 230031,China;Hefei General Environment Control Technology Co.,Ltd.,Hefei 230031,China)
出处
《流体机械》
CSCD
北大核心
2019年第11期13-18,共6页
Fluid Machinery
基金
国家重点研发计划项目(2016YFF0203300)
安徽省自然科学基金青年项目(1908085QE234)
安徽省科技重大专项(18030901026)
安徽省重点研究和开发计划项目(201904a07020052)
合肥通用机械研究院有限公司博士科技基金项目(2019010384)
关键词
LMD
故障诊断
往复压缩机
环状气阀
LMD
fault diagnosis
reciprocating compressor
annular valve
