Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure
Shearer-cutting units are important parts of coal production. However, they have high fault frequency, and their maintenance activities are costly and time-consuming. Coal enterprises urgently need an effective fault analysis method for shearer-cutting units. To solve this problem, an integrated imp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/4/2711 |
| _version_ | 1797622472217985024 |
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| author | Jiang-bin Zhao Meng-tao Liang Zao-yan Zhang Jian Cui Xian-gang Cao |
| author_facet | Jiang-bin Zhao Meng-tao Liang Zao-yan Zhang Jian Cui Xian-gang Cao |
| author_sort | Jiang-bin Zhao |
| collection | DOAJ |
| description | Shearer-cutting units are important parts of coal production. However, they have high fault frequency, and their maintenance activities are costly and time-consuming. Coal enterprises urgently need an effective fault analysis method for shearer-cutting units. To solve this problem, an integrated importance measure (IIM) is introduced into the fault tree analysis method to identify the weakest links of shearer-cutting units. This paper develops an IIM-based fault tree analysis method to determine the key faults in shearer-cutting units. Taking MG400/930-WD shearer in Yuhua Coal Mine as an example, through IIM ranking, bearing wear can be identified as a key fault cause. To verify the effectiveness of the proposed method, the relative value distribution of four importance measures was analyzed by radial bar charts, and the accuracy of different rankings was evaluated by mean average precision. The results show that IIM can clearly distinguish the relative importance of bottom events, and the average accuracy of IIM ranking is 94.52%. Therefore, the proposed method can accurately and effectively identify key fault causes, and the limited resources should give priority to bottom events with higher IIM. |
| first_indexed | 2024-03-11T09:10:46Z |
| format | Article |
| id | doaj.art-2924d560cf364a2792ac85d804416f8e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:10:46Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2924d560cf364a2792ac85d804416f8e2023-11-16T18:59:41ZengMDPI AGApplied Sciences2076-34172023-02-01134271110.3390/app13042711Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance MeasureJiang-bin Zhao0Meng-tao Liang1Zao-yan Zhang2Jian Cui3Xian-gang Cao4School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaShearer-cutting units are important parts of coal production. However, they have high fault frequency, and their maintenance activities are costly and time-consuming. Coal enterprises urgently need an effective fault analysis method for shearer-cutting units. To solve this problem, an integrated importance measure (IIM) is introduced into the fault tree analysis method to identify the weakest links of shearer-cutting units. This paper develops an IIM-based fault tree analysis method to determine the key faults in shearer-cutting units. Taking MG400/930-WD shearer in Yuhua Coal Mine as an example, through IIM ranking, bearing wear can be identified as a key fault cause. To verify the effectiveness of the proposed method, the relative value distribution of four importance measures was analyzed by radial bar charts, and the accuracy of different rankings was evaluated by mean average precision. The results show that IIM can clearly distinguish the relative importance of bottom events, and the average accuracy of IIM ranking is 94.52%. Therefore, the proposed method can accurately and effectively identify key fault causes, and the limited resources should give priority to bottom events with higher IIM.https://www.mdpi.com/2076-3417/13/4/2711shearer-cutting unitfault tree modelintegrated importance measureranking analysismean average precision |
| spellingShingle | Jiang-bin Zhao Meng-tao Liang Zao-yan Zhang Jian Cui Xian-gang Cao Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure Applied Sciences shearer-cutting unit fault tree model integrated importance measure ranking analysis mean average precision |
| title | Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure |
| title_full | Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure |
| title_fullStr | Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure |
| title_full_unstemmed | Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure |
| title_short | Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure |
| title_sort | fault analysis of shearer cutting units driven by integrated importance measure |
| topic | shearer-cutting unit fault tree model integrated importance measure ranking analysis mean average precision |
| url | https://www.mdpi.com/2076-3417/13/4/2711 |
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