Application of improved EMD algorithm for the fault diagnosis of reciprocating pump valves with spring failure

被引：0
|
作者：
Liu Shulin [1 ]
Zhao Haifeng [1 ]
Wang Hui [1 ]
Ma Rui [1 ]
机构：
[1] Mech Sci & Engn Coll, Daqing Petr Inst, Daqing 163318, Peoples R China
来源：
2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3 | 2007年
关键词：
reciprocating pump valve; Hilbert-Huang transform; empirical mode decomposition; PCHIP; fault diagnosis; signal processing;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents an improved EMD algorithm for the fault diagnosis of reciprocating pump valves with spring failure. The vibration signal of reciprocating pumps is of typical nonstationarity. Although the EMD algorithm adopting the cubic spline interpolation is an effective tool processing non-stationary signal, it couldn't accurately extract fault characteristics from the highly nonstationary signals. So the paper presents a new improved EMD algorithm which adopts Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) as envelope of extrema. Through the simulation and application, it can be shown that the PCHIP can extract fault characteristic of valves more exactly than the spline.
引用
收藏
页码：796 / 799
页数：4
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