A Case Study on the Establishment of Upper Control Limit to Detect Vessel's Main Engine Failures using Multivariate Control Chart
![]() |
Bae, Young-Mok
(SK Hynix)
Kim, Min-Jun (Samsung Electronics) Kim, Kwang-Jae (POSTECH) Jun, Chi-Hyuck (POSTECH) Byeon, Sang-Su (Hyundai Ocean Service) Park, Kae-Myoung (Korean Register) |
1 |
Boullosa, D., Larrabe, J. L., Lopez, A., & Gomez, M. A., 2017. Monitoring through |
2 |
Chen, Q., Kruger, U., Meronk, M. & Leung, A. Y. T., 2004. Synthesis of |
3 | Chongfuangprinya, P., Kim, S. B., Park, S. K. & Sukchotrat, T., 2011. Integration of support vector machines and control charts for multivariate process monitoring, Journal of Statistical Computation and Simulation, 81(9), pp. 1157-1173. DOI |
4 | Chou, Y. M., Mason, R. L., & Young, J. C., 2001. The control chart for individual observations from a multivariate non-normal distribution. Communications in statistics - Theory and methods, 30(8-9), pp.1937-1949. DOI |
5 | Efron, B. & Tibshirani, R., 1993, An introduction to the Bootstrap, Chapman & Hall/CRC, Roca Raton, USA. |
6 | Gkerekos, C., Lazakis, I., & Theotokatos, G., 2017. Ship machinery condition monitoring using performance data through supervised learning, Proceedings of the Smart Ship Technology, London, UK, 24-25 January 2017, The Royal Institute of Naval Architects, pp.105-111. |
7 | Jang, D. H., Moon, H. G., So, S.O., Seo, S. W., Han, S. H., Eun, C. G., & Kwon, J. G., 2011. Development of maintenance system for vessels and plants, Bulletin of the Society of Naval Architects of Korea, 39(2), pp.234-243. |
8 | Lamaris, V. T., & Hountalas, D. T., 2010. A general purpose diagnostic technique for marine diesel engines-Application on the main propulsion and auxiliary diesel units of a marine vessel. Energy Conversion and Management, 51(4), pp.740-753. DOI |
9 | Lazakis, I., Dikis, K., Michala, A. L., & Theotokatos, G., 2016. Advanced ship systems condition monitoring for enhanced inspection, maintenance and decision making in ship operations. Transportation Research Procedia, 14, pp.1679-1688. DOI |
10 | Lee. H., Lee, J.S., & Lee, J. M., 2012. Marine Engine State Monitoring System using DPQ in CAN Network, Journal of Institute of Control, pp.13-20. |
11 | Lowry, C. A., & Montgomery, D. C., 1995. A review of multivariate control charts. IIE Transactions, 27(6), pp.800-810. DOI |
12 | Mokashi, A. J., Wang, J., & Vermar, A. K., 2002. A study of reliability-centred maintenance in maritime operations. Marine Policy, 26(5), pp.325-335. DOI |
13 | Orosa, J. A. et al., 2011. In Applications and Experiences of Quality Control. Online Ed. InTech. |
14 |
Phaladiganon, P., Kim, S. B., Chen, V. C. P., Baek, J. G., & Park, S. K., 2011. Bootstrap-based |
15 | Pillay, A., Wang, J., Wall, A. D., & Ruxton, T., 2001. A maintenance study of fishing vessel equipment using delay-time analysis. Journal of Quality in Maintenance Engineering, 7(2), pp.118-128. DOI |
16 | Raptodimos, Y., & Lazakis, I. (2018). Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications. Ships and Offshore Structures, pp.1-8. |
17 | Runger, G. C., Alt, F. B., & Montgomery, D. C., 1996. Contributors to a multivariate statistical process control chart signal, Communications in Statistics-Theory and Methods-Policy & Management, 25(10), pp.2203-2213. DOI |
18 | Shewhart, W. A. (1926). Quality control charts. Bell Labs Technical Journal, 5(4), pp.593-603. DOI |
![]() |