Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester
The demanding operational conditions of combine harvesters induce substantial vibrations and component degradation, significantly impacting harvesting efficiency, safety, and overall machine reliability. Bolt loosening, a critical failure mode at the joints of various working parts of combine harves...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/15/5/455 |
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| author | Jiaojiao Xu Tiantian Jing Meng Fang Pengcheng Li Zhong Tang |
| author_facet | Jiaojiao Xu Tiantian Jing Meng Fang Pengcheng Li Zhong Tang |
| author_sort | Jiaojiao Xu |
| collection | DOAJ |
| description | The demanding operational conditions of combine harvesters induce substantial vibrations and component degradation, significantly impacting harvesting efficiency, safety, and overall machine reliability. Bolt loosening, a critical failure mode at the joints of various working parts of combine harvesters, is a prevalent concern. The complexity and heterogeneity of vibration signals in these machines present a considerable challenge for the timely and accurate detection of bolt loosening. This paper proposes a novel methodology for identifying and diagnosing vibrating screen bolt failure states under multiple excitation conditions, specifically tailored for the 4LZY-1.8(PRO688Q) combine harvester. The study initially analyzes the critical torque associated with bolt connection failure. Subsequently, vibration signals are acquired from the bolt connection of the vibrating screen, and time-frequency analysis is performed to characterize the degree of bolt loosening, the predominant vibration direction, and the causative frequency components. A high-dimensional feature matrix is then constructed utilizing a Gaussian kernel function. The efficacy of the proposed methodology is evaluated through training and testing a classification decision model. This study provides a robust theoretical foundation for the vibration-based fault diagnosis of bolt structures in combine harvesters. |
| format | Article |
| id | doaj-art-70241620ad6744bdbeca7a4e8a61e569 |
| institution | DOAJ |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-70241620ad6744bdbeca7a4e8a61e5692025-08-20T02:53:02ZengMDPI AGAgriculture2077-04722025-02-0115545510.3390/agriculture15050455Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine HarvesterJiaojiao Xu0Tiantian Jing1Meng Fang2Pengcheng Li3Zhong Tang4Higher Vocational Technical College, Shanghai University of Engineering Science, Shanghai 200437, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaThe demanding operational conditions of combine harvesters induce substantial vibrations and component degradation, significantly impacting harvesting efficiency, safety, and overall machine reliability. Bolt loosening, a critical failure mode at the joints of various working parts of combine harvesters, is a prevalent concern. The complexity and heterogeneity of vibration signals in these machines present a considerable challenge for the timely and accurate detection of bolt loosening. This paper proposes a novel methodology for identifying and diagnosing vibrating screen bolt failure states under multiple excitation conditions, specifically tailored for the 4LZY-1.8(PRO688Q) combine harvester. The study initially analyzes the critical torque associated with bolt connection failure. Subsequently, vibration signals are acquired from the bolt connection of the vibrating screen, and time-frequency analysis is performed to characterize the degree of bolt loosening, the predominant vibration direction, and the causative frequency components. A high-dimensional feature matrix is then constructed utilizing a Gaussian kernel function. The efficacy of the proposed methodology is evaluated through training and testing a classification decision model. This study provides a robust theoretical foundation for the vibration-based fault diagnosis of bolt structures in combine harvesters.https://www.mdpi.com/2077-0472/15/5/455combine harvesterbolt failure state recognitiontime-frequency characteristicssupport vector machinemulti-fusion matrix |
| spellingShingle | Jiaojiao Xu Tiantian Jing Meng Fang Pengcheng Li Zhong Tang Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester Agriculture combine harvester bolt failure state recognition time-frequency characteristics support vector machine multi-fusion matrix |
| title | Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester |
| title_full | Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester |
| title_fullStr | Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester |
| title_full_unstemmed | Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester |
| title_short | Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester |
| title_sort | failure state identification and fault diagnosis method of vibrating screen bolt under multiple excitation of combine harvester |
| topic | combine harvester bolt failure state recognition time-frequency characteristics support vector machine multi-fusion matrix |
| url | https://www.mdpi.com/2077-0472/15/5/455 |
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