Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment
Accurately recognizing potential failures in the early stages of providing products or services can prevent the loss of investment and time and reduce the risk of safety hazards. Failure mode and effects analysis (FMEA) is a conventional approach for detecting and prioritizing the probable failures...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9858140/ |
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| author | Saeid Jafarzadeh Ghoushchi Sepideh Miralizadeh Jalalat Shabnam Rahnamay Bonab Ali Memarpour Ghiaci Gholamreza Haseli Hana Tomaskova |
| author_facet | Saeid Jafarzadeh Ghoushchi Sepideh Miralizadeh Jalalat Shabnam Rahnamay Bonab Ali Memarpour Ghiaci Gholamreza Haseli Hana Tomaskova |
| author_sort | Saeid Jafarzadeh Ghoushchi |
| collection | DOAJ |
| description | Accurately recognizing potential failures in the early stages of providing products or services can prevent the loss of investment and time and reduce the risk of safety hazards. Failure mode and effects analysis (FMEA) is a conventional approach for detecting and prioritizing the probable failures of a product’s design or production process. Nevertheless, the traditional risk priority number (RPN) method has come under criticism for its deficiencies. This paper proposes a modified FMEA method based on fuzzy Multi-Criteria Decision Making (MCDM) techniques to cope with the weaknesses of the previous methodologies and improve the primary method. The concept of spherical fuzzy sets (SFS) is utilized to address the vagueness and impreciseness of the information that allows the experts to have more freedom in making decisions by including membership, non-membership, and hesitation of fuzzy sets. Initially, the procedure of assigning weights to the RPN criteria is implemented with SFS step-wise weight assessment ratio analysis (SWARA). Then, the failure modes are ranked by the SFS combined compromise solution (CoCoSo) method. The effectiveness and practicality of the suggested approach are illustrated through a case study on the Manjil wind farm in Iran. Results show that the suggested model is more reliable and realistic to be utilized in the prioritization of failures than the common FMEA method or other integrated MCDM approaches. |
| first_indexed | 2024-04-13T03:10:44Z |
| format | Article |
| id | doaj.art-6cac395ee5b349de9aa00424a8d41f4f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T03:10:44Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6cac395ee5b349de9aa00424a8d41f4f2022-12-22T03:05:05ZengIEEEIEEE Access2169-35362022-01-0110867508676410.1109/ACCESS.2022.31993599858140Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy EnvironmentSaeid Jafarzadeh Ghoushchi0https://orcid.org/0000-0003-3665-9010Sepideh Miralizadeh Jalalat1Shabnam Rahnamay Bonab2Ali Memarpour Ghiaci3Gholamreza Haseli4Hana Tomaskova5https://orcid.org/0000-0003-1744-5826Faculty of Industrial Engineering, Urmia University of Technology, Urmia, IranFaculty of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, IranFaculty of Industrial Engineering, Urmia University of Technology, Urmia, IranFaculty of Industrial Engineering, Urmia University of Technology, Urmia, IranTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla, MexicoFaculty of Informatics and Management, University of Hradec Králové, Hradec Kralove, Czech RepublicAccurately recognizing potential failures in the early stages of providing products or services can prevent the loss of investment and time and reduce the risk of safety hazards. Failure mode and effects analysis (FMEA) is a conventional approach for detecting and prioritizing the probable failures of a product’s design or production process. Nevertheless, the traditional risk priority number (RPN) method has come under criticism for its deficiencies. This paper proposes a modified FMEA method based on fuzzy Multi-Criteria Decision Making (MCDM) techniques to cope with the weaknesses of the previous methodologies and improve the primary method. The concept of spherical fuzzy sets (SFS) is utilized to address the vagueness and impreciseness of the information that allows the experts to have more freedom in making decisions by including membership, non-membership, and hesitation of fuzzy sets. Initially, the procedure of assigning weights to the RPN criteria is implemented with SFS step-wise weight assessment ratio analysis (SWARA). Then, the failure modes are ranked by the SFS combined compromise solution (CoCoSo) method. The effectiveness and practicality of the suggested approach are illustrated through a case study on the Manjil wind farm in Iran. Results show that the suggested model is more reliable and realistic to be utilized in the prioritization of failures than the common FMEA method or other integrated MCDM approaches.https://ieeexplore.ieee.org/document/9858140/CoCoSo SWARAfailure modemulti criteria decision makingspherical fuzzy setswind turbines |
| spellingShingle | Saeid Jafarzadeh Ghoushchi Sepideh Miralizadeh Jalalat Shabnam Rahnamay Bonab Ali Memarpour Ghiaci Gholamreza Haseli Hana Tomaskova Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment IEEE Access CoCoSo SWARA failure mode multi criteria decision making spherical fuzzy sets wind turbines |
| title | Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment |
| title_full | Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment |
| title_fullStr | Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment |
| title_full_unstemmed | Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment |
| title_short | Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment |
| title_sort | evaluation of wind turbine failure modes using the developed swara cocoso methods based on the spherical fuzzy environment |
| topic | CoCoSo SWARA failure mode multi criteria decision making spherical fuzzy sets wind turbines |
| url | https://ieeexplore.ieee.org/document/9858140/ |
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