Open Access Open Access  Restricted Access Subscription or Fee Access

Criticality Assessment for Marine Diesel Engine Using Failure Mode and Effect Criticality Analysis (FMECA) Approach: Case Study on Lubricating Oil System


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/ireme.v14i4.18060

Abstract


A marine diesel engine is widely used as prime movers on ships. In order to ensure that the diesel engine works properly, one of the considerations is the condition of the equipment on a supporting system. The equipment should have high reliability, availability, and good performance conditions. The purpose of this research is to assess the criticality of equipment on main engine supporting system, case study on lubricating oil systems. Criticality assessment is used to determine priorities and maintenance actions in maintaining condition of the assets. Maintenance is important to ensure that the condition of the lubrication system is working properly. The proposed method for analyzing is based on the Failure Mode and Effect Criticality Analysis (FMECA) approach using the criticality matrix on American Bureau of Shipping (ABS) Classification. The risk analysis approach has used risk matrix as the basis for plotting criticality from the results of the probability and consequences analysis. The level of criticality is categorized into low, medium, and high risk. Furthermore, the results of FMECA analysis have found out 99 failure mode that caused the equipment of lubricating oil system to fail. The failure modes are categorized into three levels of criticality, low risk 24%, medium risk 64%, and high risk 12%. Based on the highest critical failure mode from a total of 23 equipments, 6 equipments are categorized as low risk, 13 equipments are categorized as medium risk, and 4 equipments are categorized as high risk.
Copyright © 2020 Praise Worthy Prize - All rights reserved.

Keywords


Criticality Assessment; Failure; Lubricating Oil System; Risk

Full Text:

PDF


References


W. Xi, Z. Li, Z. Tian and Z. Duan, A Feature Extraction and Visualization Method for Fault Detection of Marine Diesel Engines, Measurement, Vol. 116, pp. 429–437, 2018.
https://doi.org/10.1016/j.measurement.2017.11.035

The International Council on Combustion Engines, Guidelines for The Lubrication of Medium Speed Diesel Engines (2nd updated version, CIMAC, 2008).

S. Rahmad S. H., Priharanto Y. E. and A. M. Zaki Latif, Failure Mode and Effect Analysis (FMEA) Applied for Risk Assessment of Fuel Oil System on Diesel Engine of Fishing Vessel, ARPN Journal of Engineering and Applied Sciences, Vol. 13, n. 21, pp. 8414-8420, 2018.

Semin, S., Zaman, M., Santoso, A., Effect of Compression Ratio Improvement on the Performance of Dual Fuel Engine, (2019) International Review of Mechanical Engineering (IREME), 13 (3), pp. 142-147.
https://doi.org/10.15866/ireme.v13i3.15854

C. Cai, X. Weng and C. Zhang, A Novel Approach for Marine Diesel Engine Fault Diagnosis. Cluster Computing Springer, Vol. 20, n. 2, pp. 1691–1702, 2017.
https://doi.org/10.1007/s10586-017-0748-0

H. Bae Jun and D. Kim, Bayesian Network-Based Approach for Fault Analysis, Expert Systems With Applications, Vol. 81, pp. 332–348, 2017.
https://doi.org/10.1016/j.eswa.2017.03.056

I. Lazakis, Y. Raptodimos and T. Varelas, Predicting Ship Machinery System Condition Through Analytical Reliability Tools and Artificial Neural Networks, Ocean Engineering, Vol. 152, pp. 404-415, 2018.
https://doi.org/10.1016/j.oceaneng.2017.11.017

B. Goo, J. Lee, S. Seo, D.Chang and H. Chung, Design of Reliability Critical System Using Axiomatic Design with FMECA, International Journal of Naval Architecture and Ocean Engineering, Vol. 11, n. 1, pp. 11-21, 2019.
https://doi.org/10.1016/j.ijnaoe.2017.11.004

M. H. A. Baig and S. G. Prasanthi, Failure Mode and Effect Analysis of A Mechanical Assembly by Using Mil-Std 1629a Method, International Journal of Advanced Information Science and Technology, Vol. 2, n. 5, pp. 68-71, 2013.

E. Akyuz and E. Celik, A Quantitative Risk Analysis by Using Interval Type-2 Fuzzy FMEA Approach: The Case of Oil Spill, Maritime Policy & Management, Vol. 45, n. 8, pp. 979-994, 2018.
https://doi.org/10.1080/03088839.2018.1520401

R. Shaneza F, T. Pitana, N. Siswantoro, Reviewing the RCM on Cooling Water Pump of LNG Production Company, International Journal of Marine Engineering Innovation and Research, Vol. 3, n. 3, pp. 109-117, 2019.
https://doi.org/10.12962/j25481479.v3i3.4826

G. Bongeun, L. Joohee, S. Suwon, C. Daejun and C. Hyun, Design of Reliability Critical System Using Axiomatic Design with FMECA, International Journal of Naval Architecture and Ocean Engineering, Vol. 30, pp. 1-11, 2017.

K. Baynal, T. Sarı and B. Akpınar, Risk Management in Automotive Manufacturing Process Based on FMEA and Grey Relational Analysis: A Case Study, Advances in Production Engineering & Management, Vol. 13, n. 1, pp. 69-80, 2018.
https://doi.org/10.14743/apem2018.1.274

M. Yazdi, S. Daneshvar and H. Setareh, An Extension to Fuzzy Developed Failure Mode and Effects Analysis (FDMEA) Application for Aircraft Landing System, Safety Science, Vol. 98, pp.113-123, 2017.
https://doi.org/10.1016/j.ssci.2017.06.009

S. Carpitella, A. Certa, J. Izquierdo and C. M. La Fata, A Combined Multi-Criteria Approach to Support FMECA Analyses: A Real-World Case, Reliability Engineering & System Safety, Vol. 169, pp. 394-402, 2018.
https://doi.org/10.1016/j.ress.2017.09.017

S. Adumene and S. Nitonye, Application of Probabilistic Model for Marine Steam System Failure Analysis under Uncertainty. Open Journal of Safety Science and Technology, Vol. 8, pp. 21-34, 2018.
https://doi.org/10.4236/ojsst.2018.82003

R. Islam, F. Khan, R. Abbassi and V. Garaniya, Human Error Probability Assessment During Maintenance Activities of Marine Systems, Safety and Health at Work, Vol. 9, n. 1, pp. 42-52, 2018.
https://doi.org/10.1016/j.shaw.2017.06.008

H. R. Seiti, A. Behnampour, D. M. Imani and M. Houshmand, Failure Modes and Effects Analysis under Fuzzy Environment Using Fuzzy Axiomatic Design Approach, Int. J. Res. Ind. Eng., Vol. 6, n. 1, pp. 51-68, 2017.

M. B. Zaman, E. Kobayashi, N. Wakabayashi, S. Khanfir, T. Pitana and A Maimun, Fuzzy FMEA Model for Risk Evaluation of Ship Collisions in The Malacca Strait: Based on AIS Data, Journal of Simulation, Vol. 8, pp. 91–104, 2014.
https://doi.org/10.1057/jos.2013.9

H. Liu, X. Deng and W. Jiang, Risk Evaluation in Failure Mode and Effects Analysis Using Fuzzy Measure and Fuzzy Integral, Symmetry, Vo. 9, n. 8, pp. 1-13, 2017.
https://doi.org/10.3390/sym9080162

J. Balaraju, M. G. Raj and C. S. Murthy, Fuzzy-FMEA Risk Evaluation Approach for LHD Machine-A Case Study, Journal of Sustainable Mining, Vol. 18, pp. 257–268, 2019.
https://doi.org/10.1016/j.jsm.2019.08.002

M. Alrifaey, T. S. Hong, E. E. Supeni, A. As’arry and C. K. Ang, Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework, Energies, Vol. 12, pp. 1-22, 2019.
https://doi.org/10.3390/en12040649

H. C. Liu, L. E Wang, X. Y You and S. M. Wu, Failure Mode and Effect Analysis with Extended Grey Relational Analysis Method in Cloud Setting, Total Quality Management & Business Excellence, Vol. 30, n. 7-8, pp. 745-767, 2019.
https://doi.org/10.1080/14783363.2017.1337506

X. Lia, H. Lia, B. Suna and F. Wanga, Assessing Information Security Risk for An Evolving Smart City Based on Fuzzy and Grey FMEA, Journal of Intelligent & Fuzzy Systems, Vol. 34, pp. 2491–2501, 2018.
https://doi.org/10.3233/jifs-172097

American Bureau of Shipping, Guide for Surveys Based on Machinery Reliability and Maintenance Techniques, (2016 edition, ABC Classification, 2016)

SINTEF Industrial Management, OREDA Offshore Reliability Data Handbook (4th edition, OREDA participants, 2002).

Santoso, A., Semin, S., Sampurno, B., Cahyono, B., Zaman, M., New Development of Piston Crown for Dual Fuel Diesel Engine to Improve Efficiency and Reduce NOx Emissions: a Review, (2020) International Journal on Engineering Applications (IREA), 8 (1), pp. 1-7.
https://doi.org/10.15866/irea.v8i1.17449


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize