Marine fire pump motor bearings fault feature enhancement and diagnosis based on adaptive SSA and improved TEO

Xuewei SONG; Zhiqiang LIAO; Baozhu JIA

doi:10.19693/j.issn.1673-3185.03663

Chinese Journal of Ship Research, Volume. 20, Issue 2, 47(2025)

Marine fire pump motor bearings fault feature enhancement and diagnosis based on adaptive SSA and improved TEO

Xuewei SONG^1,2,3, Zhiqiang LIAO^1,2,3, and Baozhu JIA^1,2,3

Author Affiliations

¹Naval Architecture and Shipping College, Guangdong Ocean University, Zhanjiang 524088, China

²Technical Research Center for Ship Intelligence and Safety Engineering of Guangdong Province, Zhanjiang 524088, China

³Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching, Zhanjiang 524088, China

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References(5)

[3] YANG J H, WU C J, SHAN Z et al. Extraction and enhancement of unknown bearing fault feature in the strong noise under variable speed condition[J]. Measurement Science and Technology, 32, 105021(2021).

[4] GAO S Z, WANG Q, ZHANG Y M. Rolling bearing fault diagnosis based on CEEMDAN and refined composite multiscale fuzzy entropy[J]. IEEE Transactions on Instrumentation and Measurement, 70, 3514908(2021).

[8] MENG Z, ZHANG G Y, PAN Z Z et al. A sparse measurement matrix based method for feature enhancement of bearing fault signal[J]. Applied Acoustics, 177, 107903(2021).

[9] YAN C, LIN J, LIANG K X et al. Tacholess skidding evaluation and fault feature enhancement base on a two-step speed estimation method for rolling bearings[J]. Mechanical Systems and Signal Processing, 162, 108017(2022).

[12] LIAO Z Q, SONG X W, JIA B Z et al. Bearing fault feature enhancement and diagnosis based on statistical filtering and 1.5-dimensional symmetric difference analytic energy spectrum[J]. IEEE Sensors Journal, 21, 9959-9968(2021).

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Xuewei SONG, Zhiqiang LIAO, Baozhu JIA. Marine fire pump motor bearings fault feature enhancement and diagnosis based on adaptive SSA and improved TEO[J]. Chinese Journal of Ship Research, 2025, 20(2): 47

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Paper Information

Category: Ship Intelligent O&M, and Fault Diagnosis

Received: Nov. 25, 2023

Accepted: --

Published Online: May. 15, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.03663

Topics

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