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

DOI

10.2991/icence-16.2016.120How to use a DOI?

Keywords

Telemetry; Trend Extraction; Multi-scale Least Square; EMD

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Guo
PY  - 2016/09
DA  - 2016/09
TI  - Telemetry Vibration Signal Trend Extraction Based on Multi-scale Least Square Algorithm
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 638
EP  - 642
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.120
DO  - 10.2991/icence-16.2016.120
ID  - Guo2016/09
ER  -