Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability Extraction
The comprehensive performance of unmanned excavators is crucial for the development and optimization of the field of construction machinery. To effectively improve the unmanned excavator to meet the needs of the market, it is imperative to quantify the evaluation method of the comprehensive performa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/12/3/173 |
| _version_ | 1797240230958333952 |
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| author | Binrui Zhang Min Ye Gaoqi Lian Yan Li Baozhou Xia |
| author_facet | Binrui Zhang Min Ye Gaoqi Lian Yan Li Baozhou Xia |
| author_sort | Binrui Zhang |
| collection | DOAJ |
| description | The comprehensive performance of unmanned excavators is crucial for the development and optimization of the field of construction machinery. To effectively improve the unmanned excavator to meet the needs of the market, it is imperative to quantify the evaluation method of the comprehensive performance of unmanned excavators. In this study, an evaluation method combining a fuzzy analytic hierarchy process and multivariate image area analysis method is proposed. Firstly, based on the feature extraction of the signal stability of the unmanned excavators, fifteen evaluation indexes were proposed. Then, the case study is used to obtain the scores corresponding to these indexes. The fuzzy analytic hierarchy process is applied to determine the relative weight of the selected evaluation criteria, in which the uncertain and imprecise judgments of decision makers are converted into fuzzy numbers. At the same time, the braking performance of the three types of unmanned excavators was comprehensively evaluated and ranked using the multivariate image area analysis method as an empirical example. Finally, a weight analysis is performed to check the robustness of the ranking results. The results show that the proposed method is effective and feasible. It provides a reference for the performance improvement and efficiency optimization of unmanned excavators. |
| first_indexed | 2024-04-24T18:04:08Z |
| format | Article |
| id | doaj.art-bdc22a056f70457cb228238164b58c75 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-04-24T18:04:08Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-bdc22a056f70457cb228238164b58c752024-03-27T13:51:49ZengMDPI AGMachines2075-17022024-03-0112317310.3390/machines12030173Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability ExtractionBinrui Zhang0Min Ye1Gaoqi Lian2Yan Li3Baozhou Xia4Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, ChinaKey Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, ChinaThe comprehensive performance of unmanned excavators is crucial for the development and optimization of the field of construction machinery. To effectively improve the unmanned excavator to meet the needs of the market, it is imperative to quantify the evaluation method of the comprehensive performance of unmanned excavators. In this study, an evaluation method combining a fuzzy analytic hierarchy process and multivariate image area analysis method is proposed. Firstly, based on the feature extraction of the signal stability of the unmanned excavators, fifteen evaluation indexes were proposed. Then, the case study is used to obtain the scores corresponding to these indexes. The fuzzy analytic hierarchy process is applied to determine the relative weight of the selected evaluation criteria, in which the uncertain and imprecise judgments of decision makers are converted into fuzzy numbers. At the same time, the braking performance of the three types of unmanned excavators was comprehensively evaluated and ranked using the multivariate image area analysis method as an empirical example. Finally, a weight analysis is performed to check the robustness of the ranking results. The results show that the proposed method is effective and feasible. It provides a reference for the performance improvement and efficiency optimization of unmanned excavators.https://www.mdpi.com/2075-1702/12/3/173unmanned excavatorradar chartfuzzy analytic hierarchy process (FAHP)comprehensive performance evaluation |
| spellingShingle | Binrui Zhang Min Ye Gaoqi Lian Yan Li Baozhou Xia Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability Extraction Machines unmanned excavator radar chart fuzzy analytic hierarchy process (FAHP) comprehensive performance evaluation |
| title | Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability Extraction |
| title_full | Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability Extraction |
| title_fullStr | Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability Extraction |
| title_full_unstemmed | Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability Extraction |
| title_short | Comprehensive Performance Evaluation of an Unmanned Excavator Based on Signal Stability Extraction |
| title_sort | comprehensive performance evaluation of an unmanned excavator based on signal stability extraction |
| topic | unmanned excavator radar chart fuzzy analytic hierarchy process (FAHP) comprehensive performance evaluation |
| url | https://www.mdpi.com/2075-1702/12/3/173 |
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