摘要
研究了经验模分解方法(EmpiricalModeDecomposition,简称EMD)在信号趋势项提取中的应用,提出了基于EMD方法在不同频率限制要求下信号趋势项的定义和提取方法。通过应用于数值模拟信号及实测记录,验证了此定义的可靠性。分析结果表明,EMD方法依据信号自身的特性来定义趋势项,无需预先假定其类型,是一种提取信号趋势项的良好方法。
This paper investigates the application of empirical mode decomposition (EMD)to signal trend extraction. EMD can decompose any signal into sum of intrinsic mode functions (IMF) plus a residual. Thus, the signal trend is defined as the residual or sum of several IMF components whose frequency content is lower than a given value. Both simulated and field measured signal are employed in this study to demonstrate the feasibility of the approach. The results show that the trend can be extracted directly from the measured signal using the EMD approach without any presumptions of the trend type. It is concluded that the EMD approach is a promising tool for signal trend extraction.
出处
《振动．测试与诊断》
EI
CSCD
2005年第2期101-104,153,共5页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目(编号:50308020)。
关键词
振动信号
经验模分解
趋势项
间歇检测准则
vibration signal empirical mode decomposition trend intermittency check
