Title :
Decomposition and reconstruction for non-stationary vibration signal of small engine
Author_Institution :
Key Lab. of Instrum. Sci. & Dynamic Meas. Minist. of Educ., North Univ. of China, Taiyuan, China
Abstract :
According to vibration signal of a small engine is non-stationary It extract the intrinsic mode function (IMF) of the signal through empirical mode decomposition (EMD).In order to overcome the mode mixing that happens in EMD, an improved EMD- ensemble empirical mode decomposition EEMD has been introduced. This dissertation analyses the reason of mixing and some solution at present, detailed introduces the basic principle, characteristics and related algorithm of EMD and EEMD. EEMD de-noising method was applied to analyze the vibration signals. With the simulation results of vibration signal, it points out that EEMD can solve the mode mixing, and at the same time reserve the adaptability of the EMD, it has no limits to the types of signals.
Keywords :
engines; signal denoising; signal reconstruction; vibrations; EEMD denoising method; EMD ensemble empirical mode decomposition; intrinsic mode function; mode mixing; nonstationary vibration signal; small engine; vibration signals; Engines; Mathematical model; Modeling; Time frequency analysis; Vibrations; White noise; Empirical Mode Decomposition (EMD); Vibration signals; ensemble empirical mode decomposition (EEMD);
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622894
