A novel approach for marine diesel engine fault diagnosis

Author:

Cai ChengtaoORCID,Weng Xiangyu,Zhang Chuanbin

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference17 articles.

1. Kowalski, J., Krawczyk, B., Woźniak, M.: Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble. Eng. Appl. Artif. Intell. 57C, 134–141 (2017)

2. Li, Z., Yan, X., Yuan, C.: Intelligent fault diagnosis method for marine diesel engines using instantaneous angular speed. J. Mech. Sci. Technol. 26(8), 2413–2423 (2012)

3. Blanke, M., Kinnaert, M., Lunze, D.I.J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control, pp. 493–494. Springer, Berlin (2007)

4. Jin, C., Zhao, W., Liu, Z., Lee, J.: A vibration-based approach for diesel engine fault diagnosis. In: IEEE Conference on Prognostics and Health Management (PHM), pp. 1–9 (2014)

5. Widodo, A., Yang, B.S.: Support vector machine in machine condition monitoring and fault diagnosis. Noise Vib. Worldw. 21(6), 2560–2574 (2008)

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