Fault Diagnosis Method for Marine Engine System Combined with Multiple Clusters Using Label Propagation

Ai Ping Zhang; Guang Ren; Bao Zhu Jia; Ye Jin Lin; Jun Dong Zhang

doi:10.4028/www.scientific.net/AMR.694-697.1301

Paper Titles

Precision Analysis of Free-Station Positioning in Total Station
p.1281

Design and Implementation of Linkage Control Module in the Automatic Fire Alarm System
p.1286

Cylinder Micro Leakage Testing System
p.1291

Design of Monitoring System for Electric Vehicle Battery Controller
p.1296

Fault Diagnosis Method for Marine Engine System Combined with Multiple Clusters Using Label Propagation
p.1301

GSM Modem and Industrial Camera Aided Unattended Automatic Fatigue Testing Technology
p.1306

A Nonlinear Heuristic-Optimized Neural Network Modeling Approach for the Prediction of Natural Disasters
p.1310

Radar Emitter Signal Feature Extraction Based on Time-Frequency Atom Decomposition
p.1317

Design of Combustible Gas Detection System Using Wireless Transmission Technology
p.1321

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Fault Diagnosis Method for Marine Engine System...

Fault Diagnosis Method for Marine Engine System Combined with Multiple Clusters Using Label Propagation

Abstract:

Fault diagnosis for marine engine system can be achieved by cluster process. We propose a multiple clusters method using label propagation model repeatedly to cluster for fault samples. Due to randomness in label propagation, some classes which are not easy to be found in single cluster can be found. To verify the performance of this method, the samples from self-manufactured marine engine room simulator are used in fault diagnosis simulation experiment. Both fault analysis results and fault diagnosis results are completely correct, and fault pattern which is not in fault history data can be recognized.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

1301-1305

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.1301

Citation:

Cite this paper

Online since:

May 2013

Authors:

Ai Ping Zhang, Guang Ren, Bao Zhu Jia, Ye Jin Lin, Jun Dong Zhang

Keywords:

Fault Diagnosis Method, Label Propagation, Marine Engine System, Multiple Clusters

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] J. S. Tao, G. R. Liu, and K. Y. LAM: Journal of Sound and Vibration Vol. 235 (2000), pp.477-494.

Google Scholar

[2] L. Guerra, L. M. M. Garry, V. Robles, C. Bielza, P. Larranaga and R. Yuste: Developmental Neurobiology Vol. 71 (2011), pp.71-82.

Google Scholar

[3] J. B. Hopkinson, D. R. Fenlon, I. Okamoto, D. N. M. Wright, I. Scott, J. M. Addington-Hall and C. Foster: Journal of Pain and Symptom Management Vol. 40 (2010), pp.684-695.

Google Scholar

[4] N. R. Usha, A. Reka and K. Soundar: Physical Review E Vol. 76 (2007), p.036106.

Google Scholar

[5] M. J. Barber and J. W. Clark: Physical Review E Vol. 80 (2009), p.026129.

Google Scholar

[6] A. P. Zhang, G. Ren and B. Z. Jia: Advanced Materials Research Vol. 655-657 (2013), pp.801-805.

Google Scholar

[7] X. Y. Shao, X. Z. Chu, H. B. Qiu, L. Gao and J. Yan: Expert Systems with Applications Vol. 36 (2009), pp.3223-3233.

Google Scholar