Telemetry Vibration Signal Trend Extraction Based on Multi-scale Least Square Algorithm
- 10.2991/icence-16.2016.120How to use a DOI?
- Telemetry; Trend Extraction; Multi-scale Least Square; EMD
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.
- © 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/).
Cite this article
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 -