Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework
The oil and gas industry is looking for ways to accurately identify and prioritize the failure modes (FMs) of the equipment. Failure mode and effect analysis (FMEA) is the most important tool used in the maintenance approach for the prevention of malfunctioning of the equipment. Current developments...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-02-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/4/649 |
| _version_ | 1811278013904453632 |
|---|---|
| author | Moath Alrifaey Tang Sai Hong Eris Elianddy Supeni Azizan As’arry Chun Kit Ang |
| author_facet | Moath Alrifaey Tang Sai Hong Eris Elianddy Supeni Azizan As’arry Chun Kit Ang |
| author_sort | Moath Alrifaey |
| collection | DOAJ |
| description | The oil and gas industry is looking for ways to accurately identify and prioritize the failure modes (FMs) of the equipment. Failure mode and effect analysis (FMEA) is the most important tool used in the maintenance approach for the prevention of malfunctioning of the equipment. Current developments in the FMEA technique are mainly focused on addressing the drawbacks of the conventional risk priority number calculations, but the group effects and interrelationships of FMs on other measurements are neglected. In the present study, a hybrid distribution risk assessment framework was proposed to fill these gaps based on the combination of modified linguistic FMEA (LFMEA), Analytic Network Process (ANP), and Decision Making Trial and Evaluation Laboratory (DEMATEL) techniques. The hybrid framework of FMEA was conducted in a hazardous environment at a power generation unit in an oil and gas plant located in Yemen. The results show that mechanical and gas leakage FM in electrical generators posed a greater risk, which critically affects other FMs within the plant. It was observed that the suggested framework produced a precise ranking of FMs, with a clear relationship among FMs. Also, the comparisons of the proposed framework with previous studies demonstrated the multidisciplinary applications of the present framework. |
| first_indexed | 2024-04-13T00:27:07Z |
| format | Article |
| id | doaj.art-c565d1f3fc6b492688965f82e4bf6515 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T00:27:07Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c565d1f3fc6b492688965f82e4bf65152022-12-22T03:10:35ZengMDPI AGEnergies1996-10732019-02-0112464910.3390/en12040649en12040649Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA FrameworkMoath Alrifaey0Tang Sai Hong1Eris Elianddy Supeni2Azizan As’arry3Chun Kit Ang4Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaDepartment of Mechanical Engineering, Faculty of Engineering, UCSI University, Taman Connaught, Kuala Lumpur 56000, MalaysiaThe oil and gas industry is looking for ways to accurately identify and prioritize the failure modes (FMs) of the equipment. Failure mode and effect analysis (FMEA) is the most important tool used in the maintenance approach for the prevention of malfunctioning of the equipment. Current developments in the FMEA technique are mainly focused on addressing the drawbacks of the conventional risk priority number calculations, but the group effects and interrelationships of FMs on other measurements are neglected. In the present study, a hybrid distribution risk assessment framework was proposed to fill these gaps based on the combination of modified linguistic FMEA (LFMEA), Analytic Network Process (ANP), and Decision Making Trial and Evaluation Laboratory (DEMATEL) techniques. The hybrid framework of FMEA was conducted in a hazardous environment at a power generation unit in an oil and gas plant located in Yemen. The results show that mechanical and gas leakage FM in electrical generators posed a greater risk, which critically affects other FMs within the plant. It was observed that the suggested framework produced a precise ranking of FMs, with a clear relationship among FMs. Also, the comparisons of the proposed framework with previous studies demonstrated the multidisciplinary applications of the present framework.https://www.mdpi.com/1996-1073/12/4/649Analytic Network Process (ANP)Decision Making Trial and Evaluation (DEMATE)electrical generatorsfailure modeslinguistic FMEAoil and gas industry |
| spellingShingle | Moath Alrifaey Tang Sai Hong Eris Elianddy Supeni Azizan As’arry Chun Kit Ang Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework Energies Analytic Network Process (ANP) Decision Making Trial and Evaluation (DEMATE) electrical generators failure modes linguistic FMEA oil and gas industry |
| title | Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework |
| title_full | Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework |
| title_fullStr | Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework |
| title_full_unstemmed | Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework |
| title_short | Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework |
| title_sort | identification and prioritization of risk factors in an electrical generator based on the hybrid fmea framework |
| topic | Analytic Network Process (ANP) Decision Making Trial and Evaluation (DEMATE) electrical generators failure modes linguistic FMEA oil and gas industry |
| url | https://www.mdpi.com/1996-1073/12/4/649 |
| work_keys_str_mv | AT moathalrifaey identificationandprioritizationofriskfactorsinanelectricalgeneratorbasedonthehybridfmeaframework AT tangsaihong identificationandprioritizationofriskfactorsinanelectricalgeneratorbasedonthehybridfmeaframework AT eriselianddysupeni identificationandprioritizationofriskfactorsinanelectricalgeneratorbasedonthehybridfmeaframework AT azizanasarry identificationandprioritizationofriskfactorsinanelectricalgeneratorbasedonthehybridfmeaframework AT chunkitang identificationandprioritizationofriskfactorsinanelectricalgeneratorbasedonthehybridfmeaframework |