%0 Journal Article %1 ofanson_u_2022_7678596 %A U, Ofanson %A D.T, Tamunodukobipi %A S, Nitonye %D 2022 %J Global Journal of Engineering and Technology Advances %K Failure mode %N 1 %P 038–052 %R 10.30574/gjeta.2022.13.1.0170 %T Failure mode effects and criticality analysis (FMECA) using fuzzy logic for ship dynamic positioning (DP) systems %U https://gjeta.com/content/failure-mode-effects-and-criticality-analysis-fmeca-using-fuzzy-logic-ship-dynamic %V 13 %X Predicting the failure modes effect and criticality analysis (FMECA) of a dynamic positioning (DP) system using fuzzy logic is the aim of this research. The identification of DP systems and subsystems, the classification of failure modes into critical and less-critical levels based on the Risk Priority Number (RPN) to depict the main root causes of failure in the DP system are some critical objectives in support of this goal. The analysis offers details on a number of issues, including the causes of failure modes and their effects on the functionality and dependability of equipment. Based on the information provided, it was determined that a number of failure modes produced identical RPN values, and that the ranking scale was erroneous. A new method was tested but could not really prioritize the failure modes with same RPN because of the few choices in the severity, occurrence and detection template. To compensate for this, excel ranking function was employed putting severity, occurrence and detection as key criteria for ranking. Due to the high severity and occurrence index, the RPN ranking results show that the faulty DP system component identified for the scenario SSTs (F1) is categorized as very critical. SSCs (F12), SSPr (F7), SSTs(F2), and SSPs(F15) are additional critical failures. In the study, data analysis and validation were done using a fuzzy rule system based on MATLAB. From the findings, it can be inferred that the failure modes F1, F2, F5, F6, F7, F8, F10, F11, and F15 have values of a similar type of RPN. According to the initial RPN risk level results; there are 19 failure modes in the medium risk level, 2 in the low risk level and 1 in the high risk level. In the final RPN-based risk level results, there are 18 failure scenarios in the low risk level and 4 in the medium risk level. In contrast, there are 5 failure modes in the fuzzy RPN low risk level and 17 failure scenarios in the medium risk level. Without fuzzy logic, the justification score on traditional FMECA can be given directly. This makes traditional FMECA ABS show greater risk than fuzzy FMECA. The failure modes with the highest RPN values were treated as critical parts, so it was recommended that the highest value of RPN be given special attention by making the necessary repairs or replacements in order to lengthen the equipment's lifespan.

@article{ofanson_u_2022_7678596, abstract = {Predicting the failure modes effect and criticality analysis (FMECA) of a dynamic positioning (DP) system using fuzzy logic is the aim of this research. The identification of DP systems and subsystems, the classification of failure modes into critical and less-critical levels based on the Risk Priority Number (RPN) to depict the main root causes of failure in the DP system are some critical objectives in support of this goal. The analysis offers details on a number of issues, including the causes of failure modes and their effects on the functionality and dependability of equipment. Based on the information provided, it was determined that a number of failure modes produced identical RPN values, and that the ranking scale was erroneous. A new method was tested but could not really prioritize the failure modes with same RPN because of the few choices in the severity, occurrence and detection template. To compensate for this, excel ranking function was employed putting severity, occurrence and detection as key criteria for ranking. Due to the high severity and occurrence index, the RPN ranking results show that the faulty DP system component identified for the scenario SSTs (F1) is categorized as very critical. SSCs (F12), SSPr (F7), SSTs(F2), and SSPs(F15) are additional critical failures. In the study, data analysis and validation were done using a fuzzy rule system based on MATLAB. From the findings, it can be inferred that the failure modes F1, F2, F5, F6, F7, F8, F10, F11, and F15 have values of a similar type of RPN. According to the initial RPN risk level results; there are 19 failure modes in the medium risk level, 2 in the low risk level and 1 in the high risk level. In the final RPN-based risk level results, there are 18 failure scenarios in the low risk level and 4 in the medium risk level. In contrast, there are 5 failure modes in the fuzzy RPN low risk level and 17 failure scenarios in the medium risk level. Without fuzzy logic, the justification score on traditional FMECA can be given directly. This makes traditional FMECA ABS show greater risk than fuzzy FMECA. The failure modes with the highest RPN values were treated as critical parts, so it was recommended that the highest value of RPN be given special attention by making the necessary repairs or replacements in order to lengthen the equipment's lifespan.}, added-at = {2023-02-28T11:43:38.000+0100}, author = {U, Ofanson and D.T, Tamunodukobipi and S, Nitonye}, biburl = {https://www.bibsonomy.org/bibtex/246388f966f6239eb20b521422723f3c1/gjetajournal}, doi = {10.30574/gjeta.2022.13.1.0170}, interhash = {7ca3a70674efec60860bf937ed4b9802}, intrahash = {46388f966f6239eb20b521422723f3c1}, issn = {2582-5003}, journal = {{Global Journal of Engineering and Technology Advances}}, keywords = {Failure mode}, month = oct, number = 1, pages = {038–052}, timestamp = {2023-02-28T11:43:38.000+0100}, title = {Failure mode effects and criticality analysis (FMECA) using fuzzy logic for ship dynamic positioning (DP) systems}, url = {https://gjeta.com/content/failure-mode-effects-and-criticality-analysis-fmeca-using-fuzzy-logic-ship-dynamic}, volume = 13, year = 2022 }