Assessment of marine diesel engine crankshaft damages

KUTAY Ş., KAMAL B.

SHIPS AND OFFSHORE STRUCTURES, cilt.17, sa.9, ss.2130-2139, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 9
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1080/17445302.2022.2050522
  • Dergi Adı: SHIPS AND OFFSHORE STRUCTURES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Compendex, Computer & Applied Sciences, INSPEC
  • Sayfa Sayıları: ss.2130-2139
  • Anahtar Kelimeler: Hull and machinery insurance, marine diesel engine crankshaft damage, causal mechanism, Fuzzy-Bayes approach, BAYESIAN NETWORK, FUZZY
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

The failure of the main engine's crankshaft in service on a large ocean-going cargo ship is a major operational and mechanical calamity. Despite the fact that crankshaft damage is rare, it is quite costly. Given the financial implications for shipowners and hull and machinery (H&M) insurance companies, it is crucial to identify the causal factors of the crankshaft damage to prevent reoccurrence. Hence, this paper models the causal mechanism of crankshaft failure. For this goal, this research investigates the probabilistic relationships among the crankshaft failure causal factors which are unveiled qualitatively and quantitatively employing the Fuzzy Bayes Network (FBN) approach. Axiom tests and sensitivity analysis afterward are performed to enhance the accuracy of outcomes. It is found that vessel personnel sourced fault has the highest effect on the explanation of crankshaft damage occurrence.