Dynamic Information System for Failure Analysis with It’s Application on Ship Main Engine

Wolfgang Busse, Nurhadi Siswantoro, Muhammad Naufal Bintang

Abstract


Ships are often used to move cargo, and their main engines are crucial. Accidents and financial losses might result from the main engine being in poor condition. Before completing maintenance, conducting a failure analysis is necessary. The existing method is static and involves using a list of failure modes from the engine's manufacturing phase. This study proposes a preliminary design of dynamic system prototype that seeks to improve ship engine monitoring of status. It includes features such as a list of failure modes and codes based on ISO 14224:2016, data collection unit worksheet, and dynamic charts for visualizing the results. Two testing iterations were performed on the prototype. First, literature data obtained from the internet was used to generate annual and monthly report charts, confirming the functionality of the prototype. Second, real data from engine failures on the tanker ship were used to ensure logical correlations among failure causative factors. The result from real data testing included Structural Deficiency (STD), External Leakage Fuel (ELF), and Breakdown (BRD) were shown. Based on these results through the prototype simulation, can be taken into consideration for the ship's crew and shipping company management to plan oil monitoring, heating the oil properly, and conduct routine maintenance check as a preventive action to reduce the impact of engine damage in the future due to Engine Breakdown and Structural Defiency.

Keywords


Analysis; Dynamic; Failures; Information; Prototype Design; Ship Main Engine

Full Text:

PDF

References


D. Priyanta, N. Siswantoro and A. M. Megawan, "Risk Based Inspection of Gas-Cooling Heat Exchanger," International Journal of Marine Engineering Innovation and Research, 2017.

J. D. Champbell and J. V. R. Picknell, Uptime: Strategies for Excellence in Maintenance Management (3rd Edition), New York: Productivity Press, 2016.

N. Siswantoro, D. Priyanta, E. D. Suminta, M. B. Zaman, T. Pitana, H. Prastowo, W. Busse and T. R. Nurdiansyah, "The Maintenance Task Allocation Analysis in Steam Power Plant: Case Study on Closed Cooling Water System," in IOP Conference Series: Earth and Environmental Science, 2022.

A. J. Chuku, S. Adumene, C. U. Orji, K. T. Johnson and S. Nitonye, "Dynamic Failure Analysis of Ship Energy Systems Using an Adaptive Machine Learning Formalism," Journal of Computational and Cognitive Engineering, vol. 10, p. 1, 2023.

W. Wang, Y. Wang and X. Han, "A dynamic failure mode and effects analysis for train systems failures risk assessment using FCM and prospect theory," Management System Engineering, vol. 14, p. 1, 2022.

I. Kessai, S. Benammar and M. Doghmane, "Dynamic failure analysis and lifetime estimation of Tool-string inrotary drilling system under Torsional-Axial coupled vib

D. Faturachman, S. Mustafa, F. Octaviany and T. D. Novita, "FAILURE MODE AND EFFECTS ANALYSIS (FMEA) OF DIESEL ENGINE MARITIME TRANSPORTATION FOR SHIP NAVIGATION SYSTEM IMPROVEMENT," in The International Conference on Business Innovation , Entrepreneurship and Egineering 2013 (ICOBIEE 2013), Penang, 2013.

K. Cicek and M. Celik, "Application of failure modes and effects analysis to main engine crankcase explosion failure onboard ship," Safety Science, vol. 10, no. Volume 51, Issue 1, p. 1, 2013.

B. Ünver, . S. Gürgen, B. Sahin and İ. Altın, "Crankcase explosion for two-stroke marine diesel engine by using fault tree analysis method in fuzzy environment," Engineering Failure Analysis, pp. 288-299, 2019.

D. Vališ, L. Zˇák and O. Pokora, "Failure prediction of diesel engine based on occurrence of selected wear particles in oil," Engineering Failure Analysis, pp. 501-5011, 2014.

W. Wang, G. Shen, Y. Zhang, Z. Zhu, C. Li and H. Lu, "Dynamic reliability analysis of mechanical system with wear and vibration failure modes," Mechanism and Machine Theory, pp. 1-14, 2021.

J. Moubrey, Reliability Centered Maintenance Book II Four Edith, London, 1997.

P. Dempsey, Troubleshooting and Repairing Diesel Engine Four Edition, USA: Mc Graw Hill, 2008.

1. International Organization for Standardization, ISO 14224 Third Edition Petroleum, petrochemical and natural gas industries - Collection and exchange of reliability and maintenance data for equipment, ISO, 2016.

Y. Alhouli, "Development of Ship Maintenance Performance Measurement Framework to Assess the Decision Making Process to Optimise in Ship Maintenance Planning," Faculty of Engineering and Physical Sciences,, vol. 225, p. 30, 2011.

M. Bengston and L. Gunnar, "On the importance of combining “the new” with “the old” – One important prerequisite for maintenance in Industry 4.0," in 8th Swedish Production Symposium, SPS 2018, 16-18 May 2018, Stockholm, Sweden,, 2018.

B. Challen and B. R, Diesel Engine Reference Book Second Edition, Butterworth Heinemann, 1999.

L. P. Chao and K. Ishii, "Design Process Error Proofing: Failure Modes and Effects Analysis of the Design Process.," Journal of Mechanical Design, Vols. 491-501, 2007.

V. Ganesan, Internal Combustion Engines Fourth Edition, Tata McGraw Hill Education, 2012.

V. J. Jimenez, N. Bouhmala and A. H. Gausdal, "Developing a predictive maintenance model for vessel machinery," Journal of Ocean Engineering and Science,, vol. 29, p. 1, 2020.

Ç. Karatuğ and . Y. Arslanoğlu,, "Development of ConditionBased Maintenance Strategy for Fault Diagnosis for Ship Engine Systems.," Ocean Engineering, pp. 1-8, 2022.




DOI: http://dx.doi.org/10.12962/j25481479.v8i3.18190

Refbacks

  • There are currently no refbacks.


Abstracted / Indexed by:
      
  

 

 

 

 

 

P-ISSN: 2541-5972   

E-ISSN: 2548-1479

 

Lisensi Creative Commons

IJMEIR journal published by  Department of Marine Engineering, Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember Surabaya Indonesia under licenced Creative Commons Attribution-ShareAlike 4.0 International Licence. Based on https://iptek.its.ac.id/index.php/ijmeir/