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

Lele CAO; Peng ZHANG; Zeyu GAO; Yuewen ZHANG; Peiting SUN

doi:10.19693/j.issn.1673-3185.02443

Journals >Chinese Journal of Ship Research >Volume 17 >Issue 6 >Page 103 > Article

Chinese Journal of Ship Research
Vol. 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

Author Affiliations

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

show less

DOI: 10.19693/j.issn.1673-3185.02443 Cite this Article

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 Copy Citation Text

show less

References

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

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

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

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

Download Citation

Save the article for my favorites

Paper Information

微信扫一扫：分享

微信扫一扫：分享