槽式孔板气液二相流差压信号的时间序列分析  

Time series analysis on differential pressure signals of gas-liquid two-phase flow through slotted orifice

作　　者：孙苗苗[1] 耿艳峰[1] 邢兰昌[1] 

机构地区：[1]中国石油大学信息与控制工程学院,山东东营257061

出　　处：《化学工程》2009年第11期24-27,39,共5页Chemical Engineering(China)

基　　金：国家自然科学基金资助项目(60672003);山东省自然科学基金资助项目(Y2006F49);中国石油大学硕士研究生创新基金资助项目(S2007-11)

摘　　要：槽式孔板是一种新型的气液二相流流量传感器,为了研究其二相流测量特性,提出了一种新的信号处理方法。首先应用小波变换模极大值滤波方法对差压测量信号去噪,然后对滤波结果进行经验模式分解得到有限个经验模式函数(IMF),进而对IMF建立自回归(AR)模型,研究了AR模型的参数与气液二相流流型以及分相流量之间的关系。这种信号处理方法能够使具有非平稳特性的差压信号满足时间序列分析的建模条件,AR模型的参数可以有效地区分气液二相流流型,并与气液分相流量的变化密切相关,为气液二相流流型识别和流量计量算法的研究奠定了基础。Slotted orifice is a new type of flow sensor for gas-liquid two-phase flow. In order to study its measurement characteristics for gas-liquid two-phase flow, a novel signal processing method was put forward. Firstly, the differential pressure signal was de-noised by wavelet transform modulus maximum method, secondly the de-noised signal was decomposed into a finite number of intrinsic mode functions （IMF） by empirical mode decomposition, and then the autoregressive model （AR） was built with different IMFs. The correlations among AR model parameters, the flow regime and individual flow rate were investigated. The proposed signal processing method is a powerful tool for turning the non-stationary original differential pressure into a set of stationary time series, which satisfies the conditions of time series analysis. The model parameters can distinguish flow regimes, closely correlate with the variation of gas and liquid flow rate, and are fundamentally important for the flow regime identification and individual flow rate metering of gas-liquid two-phase flow.

关 键 词：槽式孔板 气液二相流 差压 经验模式分解 时间序列分析 流型识别 

分 类 号：O359[理学—流体力学]