Researching | Fault diagnosis of marine diesel engine intake and exhaust system based on dynamic feature fusion

Chinese Journal of Ship Research, Volume. 17, Issue 6, 103(2022)

Fault diagnosis of marine diesel engine intake and exhaust system based on dynamic feature fusion

Lele CAO, Peng ZHANG, Zeyu GAO, Yuewen ZHANG, and Peiting SUN

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

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[6] ZHANG Q, LI P, LANG X et al. Improved dynamic kernel principal component analysis for fault detection[J]. Measurement, 158, 107738(2020).

[7] BOUNOUA W, BAKDI A. Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA[J]. Chemical Engineering Science, 229, 116099(2021).

[14] ZIEGEL E R. A step-by-step approach to using the SAS system for univariate and multivariate statistics[J]. Technometrics, 37, 471(1995).

[16] WACHS A, LEWIN D R. Improved PCA methods for process disturbance and failure identification[J]. AIChE Journal, 45, 1688-1700(1999).

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Lele CAO, Peng ZHANG, Zeyu GAO, Yuewen ZHANG, Peiting SUN. Fault diagnosis of marine diesel engine intake and exhaust system based on dynamic feature fusion[J]. Chinese Journal of Ship Research, 2022, 17(6): 103

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Received: Jul. 7, 2021

Accepted: --

Published Online: Mar. 26, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.02443

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology