A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes
This paper addresses the problem of evaluating vehicle failure modes efficiently during the driving process. Generally, the most critical factors for preventing risk in potential failure modes are identified by the experience of experts through the widely used failure mode and effect analysis (FMEA)...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/2/661 |
| _version_ | 1797409897128656896 |
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| author | Wencai Zhou Zhaowen Qiu Shun Tian Yongtao Liu Lang Wei Reza Langari |
| author_facet | Wencai Zhou Zhaowen Qiu Shun Tian Yongtao Liu Lang Wei Reza Langari |
| author_sort | Wencai Zhou |
| collection | DOAJ |
| description | This paper addresses the problem of evaluating vehicle failure modes efficiently during the driving process. Generally, the most critical factors for preventing risk in potential failure modes are identified by the experience of experts through the widely used failure mode and effect analysis (FMEA). However, it has previously been difficult to evaluate the vehicle failure mode with crisp values. In this paper, we propose a novel hybrid scheme based on a cost-based FMEA, fuzzy analytic hierarchy process (FAHP), and extended fuzzy multi-objective optimization by ratio analysis plus full multiplicative form (EFMULTIMOORA) to evaluate vehicle failure modes efficiently. Specifically, vehicle failure modes are first screened out by cost-based FMEA according to maintenance information, and then the weights of the three criteria of maintenance time (T), maintenance cost (C), and maintenance benefit (B) are calculated using FAHP and the rankings of failure modes are determined by EFMULTIMOORA. Different from existing schemes, the EFMULTIMOORA in our proposed hybrid scheme calculates the ranking of vehicle failure modes based on three new risk factors (T, C, and B) through fuzzy linguistic terms for order preference. Furthermore, the applicability of the proposed hybrid scheme is presented by conducting a case study involving vehicle failure modes of one common vehicle type (Hyundai), and a sensitivity analysis and comparisons are conducted to validate the effectiveness of the obtained results. In summary, our numerical analyses indicate that the proposed method can effectively help enterprises and researchers in the risk evaluation and the identification of critical vehicle failure modes. |
| first_indexed | 2024-03-09T04:21:10Z |
| format | Article |
| id | doaj.art-a757f919bf2f44498c62843a1b63c4d1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T04:21:10Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a757f919bf2f44498c62843a1b63c4d12023-12-03T13:47:01ZengMDPI AGSensors1424-82202021-01-0121266110.3390/s21020661A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure ModesWencai Zhou0Zhaowen Qiu1Shun Tian2Yongtao Liu3Lang Wei4Reza Langari5School of Automobile, Chang’an University, Xi’an 710064, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaEngineering Technology and Industrial Department, Texas A&M University, College Station, TX 77840, USAThis paper addresses the problem of evaluating vehicle failure modes efficiently during the driving process. Generally, the most critical factors for preventing risk in potential failure modes are identified by the experience of experts through the widely used failure mode and effect analysis (FMEA). However, it has previously been difficult to evaluate the vehicle failure mode with crisp values. In this paper, we propose a novel hybrid scheme based on a cost-based FMEA, fuzzy analytic hierarchy process (FAHP), and extended fuzzy multi-objective optimization by ratio analysis plus full multiplicative form (EFMULTIMOORA) to evaluate vehicle failure modes efficiently. Specifically, vehicle failure modes are first screened out by cost-based FMEA according to maintenance information, and then the weights of the three criteria of maintenance time (T), maintenance cost (C), and maintenance benefit (B) are calculated using FAHP and the rankings of failure modes are determined by EFMULTIMOORA. Different from existing schemes, the EFMULTIMOORA in our proposed hybrid scheme calculates the ranking of vehicle failure modes based on three new risk factors (T, C, and B) through fuzzy linguistic terms for order preference. Furthermore, the applicability of the proposed hybrid scheme is presented by conducting a case study involving vehicle failure modes of one common vehicle type (Hyundai), and a sensitivity analysis and comparisons are conducted to validate the effectiveness of the obtained results. In summary, our numerical analyses indicate that the proposed method can effectively help enterprises and researchers in the risk evaluation and the identification of critical vehicle failure modes.https://www.mdpi.com/1424-8220/21/2/661risk evaluationvehicle failure modecost-based FMEAFAHPEFMULTIMOORA |
| spellingShingle | Wencai Zhou Zhaowen Qiu Shun Tian Yongtao Liu Lang Wei Reza Langari A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes Sensors risk evaluation vehicle failure mode cost-based FMEA FAHP EFMULTIMOORA |
| title | A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes |
| title_full | A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes |
| title_fullStr | A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes |
| title_full_unstemmed | A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes |
| title_short | A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes |
| title_sort | novel hybrid approach for risk evaluation of vehicle failure modes |
| topic | risk evaluation vehicle failure mode cost-based FMEA FAHP EFMULTIMOORA |
| url | https://www.mdpi.com/1424-8220/21/2/661 |
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