Telemetry Vibration Signal Trend Extraction Based on Multi-scale Least Square Algorithm

被引：0
|
作者：
Guo, Feng [1 ]
机构：
[1] PLA 91550 Unit 94, Liaoning Dalian 116023, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS, NETWORK AND COMPUTER ENGINEERING (ICENCE 2016) | 2016年 / 67卷
关键词：
Telemetry; Trend Extraction; Multi-scale Least Square; EMD;
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：
A new trend extraction method based on multi-scale least square algorithm combined with EMD was proposed for telemetry vibration signal. The observed signal is decomposed by EMD to obtain a series of IMF, based on which the least square algorithm is adopted to complete trend extraction with different fitting order. For telemetry vibration signal has non-stationary characteristic, the traditional trend extraction method cannot obtain ideal result. The fitting order serious affects the performance of least square algorithm for trend extraction which has no reasonable method of design. The multi-scale least square algorithm can take advantage of the EMD and the fitting order can be designed according to different IMF, which can improve the trend extraction precision effectively. The simulation and test data processing results show the effectiveness of the proposed method.
引用
收藏
页码：638 / 642
页数：5
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