caa a22 4500 606205691 CHVBK 20210128101008.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00034-014-9875-5 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9875-5 An Improved EMD Method for Time-Frequency Feature Extraction of Telemetry Vibration Signal Based on Multi-Scale Median Filtering [Elektronische Daten] [Mei Li, Xiong Wu, Xueyong Liu] We hereby propose an Empirical Mode Decomposition (EMD) method improved with a multi-scale median filtering for extraction of the time-frequency feature of telemetry vibration signals under interference from impulse noise. The signal is decomposed into a series of intrinsic mode functions (IMF) by EMD roughly. Median filtering is then performed on each IMF with filter window length varying with the IMF's frequency, respectively. This maneuver will allow effective impulse noise suppression with minimal loss of signal integrity. A new signal can then be reconstructed by adding up each component after the median filtering and treated with a repeat EMD to obtain new IMFs as a final result. This method overcomes the filtering window length selection problem in the median filtering, which can obtain better time-frequency feature extraction performance under the impulse noise interference condition. Data processing results from both a simulation signal and a telemetry vibration signal of a test showed the effectiveness of this method. Springer Science+Business Media New York, 2014 EMD nationallicence Median filtering nationallicence Impulse noise nationallicence Telemetry nationallicence Vibration signal nationallicence Li Mei School of Information Engineering, China University of Geosciences (Beijing), 100083, Beijing, China aut Wu Xiong School of Water Resources and Environment, China University of Geosciences (Beijing), 100083, Beijing, China aut Liu Xueyong School of Information Engineering, China University of Geosciences (Beijing), 100083, Beijing, China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/3(2015-03-01), 815-830 0278-081X 34:3<815 2015 34 34 https://doi.org/10.1007/s00034-014-9875-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9875-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Mei School of Information Engineering, China University of Geosciences (Beijing), 100083, Beijing, China aut NATIONALLICENCE 700 1- Wu Xiong School of Water Resources and Environment, China University of Geosciences (Beijing), 100083, Beijing, China aut NATIONALLICENCE 700 1- Liu Xueyong School of Information Engineering, China University of Geosciences (Beijing), 100083, Beijing, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/3(2015-03-01), 815-830 0278-081X 34:3<815 2015 34 34