Analysis of marine two-stroke diesel engine block vibration based on MEEMD method

Guodong Jiang; Gang Wu; Guohua Yan

doi:10.1117/12.2681009

8 June 2023 Analysis of marine two-stroke diesel engine block vibration based on MEEMD method

Guodong Jiang, Gang Wu, Guohua Yan

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127072S (2023) https://doi.org/10.1117/12.2681009
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

The two-stroke low-speed diesel engine has complex vibration, and the conventional empirical mode decomposition (EMD) is not effective in its vibration signal processing. Thus, modified ensemble empirical mode decomposition (MEEMD) that a new method was employed to decompose the signal of the low-speed diesel engine block vibration. At first, a tri-axial accelerometer was applied to measure block vibration of the engine. After that, root mean square (RMS) was used to analyze the vibration intensity in three axes. Finally, the MEEMD method were performed for the signal in x-axis. The results show that the block vibration intensity in the x-axis is the largest. And the MEEMD method can suppress the modal mixture compared to EMD which help to better identify block vibration excitation.

Citation Download Citation

Guodong Jiang, Gang Wu, and Guohua Yan "Analysis of marine two-stroke diesel engine block vibration based on MEEMD method", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127072S (8 June 2023); https://doi.org/10.1117/12.2681009

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