Researching | Study on fault diagnosis of marine main engine's online imbalanced data

Chinese Journal of Ship Research, Volume. 18, Issue 5, 269(2023)

Study on fault diagnosis of marine main engine's online imbalanced data

Longde WANG, Hui CAO, and Lai WEI

Author Affiliations

Marine Engineer College, Dalian Maritime University, Dalian 116026, China

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References(3)

[13] WANG R H, CHEN H, GUAN C et al. Research on the fault monitoring method of marine diesel engines based on the manifold learning and isolation forest[J]. Applied Ocean Research, 112, 102681(2021).

[14] XU X J, ZHAO Z Z, XU X B et al. Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models[J]. Knowledge-Based Systems, 190, 105324(2020).

[16] ABDI H, WILLIAMS L J. Principal component analysis[J]. Wiley Interdisciplinary Reviews: Computational Statistics, 2, 433-459(2010).

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Longde WANG, Hui CAO, Lai WEI. Study on fault diagnosis of marine main engine's online imbalanced data[J]. Chinese Journal of Ship Research, 2023, 18(5): 269

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Paper Information

Category: Marine Machinery, Electrical Equipment and Automation

Received: Jun. 23, 2022

Accepted: --

Published Online: Mar. 21, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.02977

Topics

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laser manufacturing

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