Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data Analysis
The research explores methods for onboard real-time data analysis and health status assessment, focusing on the working principles and status assessment theory of onboard equipment in the electronic toll collection (ETC) system. By applying AHP, fuzzy comprehensive evaluation method, entropy method,...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/16/1/15 |
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| _version_ | 1832588380149383168 |
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| author | Fumin Zou Ting Ye Feng Guo |
| author_facet | Fumin Zou Ting Ye Feng Guo |
| author_sort | Fumin Zou |
| collection | DOAJ |
| description | The research explores methods for onboard real-time data analysis and health status assessment, focusing on the working principles and status assessment theory of onboard equipment in the electronic toll collection (ETC) system. By applying AHP, fuzzy comprehensive evaluation method, entropy method, and Delphi method, a practical health status assessment model for onboard equipment has been established, providing an innovative path for dynamic real-time monitoring of onboard devices. The research first constructs an indicator system and assessment model, combining expert scoring with fuzzy judgment to objectively quantify the status of onboard equipment, ultimately resulting in a health status assessment indicator system for the objects under evaluation. During the assessment process, expert scoring is used to determine the subjective weights via AHP, and the combined weights are derived by incorporating objective weights, with instance results showing that the comprehensive weights of various indicators lie between the subjective and objective weights. The research also utilizes the Weibull distribution to simulate the failure rate of onboard equipment, indicating that the failure modes of the onboard devices are closely related to their operational status, providing a theoretical basis for future technological improvements. Through empirical analysis of the assessment model, the research verifies the superiority of the comprehensive weights and emphasizes its new approach in health status assessment of onboard devices, opening up new avenues for research in related fields. |
| format | Article |
| id | doaj-art-e1ada0f08d1445d78bfe5a27b786142b |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-e1ada0f08d1445d78bfe5a27b786142b2025-01-24T13:35:09ZengMDPI AGInformation2078-24892024-12-011611510.3390/info16010015Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data AnalysisFumin Zou0Ting Ye1Feng Guo2Fujian Key Laboratory of Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, ChinaFujian Key Laboratory of Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, ChinaFujian Key Laboratory of Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, ChinaThe research explores methods for onboard real-time data analysis and health status assessment, focusing on the working principles and status assessment theory of onboard equipment in the electronic toll collection (ETC) system. By applying AHP, fuzzy comprehensive evaluation method, entropy method, and Delphi method, a practical health status assessment model for onboard equipment has been established, providing an innovative path for dynamic real-time monitoring of onboard devices. The research first constructs an indicator system and assessment model, combining expert scoring with fuzzy judgment to objectively quantify the status of onboard equipment, ultimately resulting in a health status assessment indicator system for the objects under evaluation. During the assessment process, expert scoring is used to determine the subjective weights via AHP, and the combined weights are derived by incorporating objective weights, with instance results showing that the comprehensive weights of various indicators lie between the subjective and objective weights. The research also utilizes the Weibull distribution to simulate the failure rate of onboard equipment, indicating that the failure modes of the onboard devices are closely related to their operational status, providing a theoretical basis for future technological improvements. Through empirical analysis of the assessment model, the research verifies the superiority of the comprehensive weights and emphasizes its new approach in health status assessment of onboard devices, opening up new avenues for research in related fields.https://www.mdpi.com/2078-2489/16/1/15health status evaluation of onboard equipmentreal-time data analysisanalytic hierarchy processfuzzy comprehensive evaluationentropy methodDelphi method |
| spellingShingle | Fumin Zou Ting Ye Feng Guo Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data Analysis Information health status evaluation of onboard equipment real-time data analysis analytic hierarchy process fuzzy comprehensive evaluation entropy method Delphi method |
| title | Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data Analysis |
| title_full | Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data Analysis |
| title_fullStr | Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data Analysis |
| title_full_unstemmed | Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data Analysis |
| title_short | Research on the Construction of an Evaluation Index System for Onboard Equipment Status Based on Real-Time Data Analysis |
| title_sort | research on the construction of an evaluation index system for onboard equipment status based on real time data analysis |
| topic | health status evaluation of onboard equipment real-time data analysis analytic hierarchy process fuzzy comprehensive evaluation entropy method Delphi method |
| url | https://www.mdpi.com/2078-2489/16/1/15 |
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