Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA Approach
It is increasingly necessary to perform risk analysis in marine structures, to ensure system safety, as they are large and complex. In view of the shortcomings of failure mode and effect analysis (FMEA), a modified fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) appr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/2/567 |
| _version_ | 1797414503579648000 |
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| author | Longting Wang Liping Sun Jichuan Kang Yanfu Wang Haiqing Wang |
| author_facet | Longting Wang Liping Sun Jichuan Kang Yanfu Wang Haiqing Wang |
| author_sort | Longting Wang |
| collection | DOAJ |
| description | It is increasingly necessary to perform risk analysis in marine structures, to ensure system safety, as they are large and complex. In view of the shortcomings of failure mode and effect analysis (FMEA), a modified fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) approach is proposed that is based on fuzzy evidence reasoning (FER), and considers the risk factor rating and relative weight. The presented method is used to prioritize the risk of equipment failure modes for the floating production storage and offloading system (FPSO) oil and gas processing system. The subjective weights and objective weights of occurrence (O), severity (S), and detectability (D) have been considered comprehensively. The subjective experience of the experts and the objective information reflected by the O, S, and D ratings are all included in the weights, making the ranking results closer to reality. The results can be scientific references for decision-makers in risk identification. |
| first_indexed | 2024-03-09T05:34:13Z |
| format | Article |
| id | doaj.art-26196a8e360f466e872f0a06e7f329ea |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T05:34:13Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-26196a8e360f466e872f0a06e7f329ea2023-12-03T12:29:34ZengMDPI AGApplied Sciences2076-34172021-01-0111256710.3390/app11020567Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA ApproachLongting Wang0Liping Sun1Jichuan Kang2Yanfu Wang3Haiqing Wang4College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266580, ChinaCollege of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266580, ChinaIt is increasingly necessary to perform risk analysis in marine structures, to ensure system safety, as they are large and complex. In view of the shortcomings of failure mode and effect analysis (FMEA), a modified fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) approach is proposed that is based on fuzzy evidence reasoning (FER), and considers the risk factor rating and relative weight. The presented method is used to prioritize the risk of equipment failure modes for the floating production storage and offloading system (FPSO) oil and gas processing system. The subjective weights and objective weights of occurrence (O), severity (S), and detectability (D) have been considered comprehensively. The subjective experience of the experts and the objective information reflected by the O, S, and D ratings are all included in the weights, making the ranking results closer to reality. The results can be scientific references for decision-makers in risk identification.https://www.mdpi.com/2076-3417/11/2/567FPSO oil and gas processing systemfailure mode and effect analysis (FMEA)fuzzy evidence reasoning (FER)fuzzy TOPSIScomprehensive weighting method |
| spellingShingle | Longting Wang Liping Sun Jichuan Kang Yanfu Wang Haiqing Wang Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA Approach Applied Sciences FPSO oil and gas processing system failure mode and effect analysis (FMEA) fuzzy evidence reasoning (FER) fuzzy TOPSIS comprehensive weighting method |
| title | Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA Approach |
| title_full | Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA Approach |
| title_fullStr | Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA Approach |
| title_full_unstemmed | Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA Approach |
| title_short | Risk Identification of FPSO Oil and Gas Processing System Based on an Improved FMEA Approach |
| title_sort | risk identification of fpso oil and gas processing system based on an improved fmea approach |
| topic | FPSO oil and gas processing system failure mode and effect analysis (FMEA) fuzzy evidence reasoning (FER) fuzzy TOPSIS comprehensive weighting method |
| url | https://www.mdpi.com/2076-3417/11/2/567 |
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