{"title":"复杂地质环境下煤矿设备齿轮和轴承的故障诊断机制","authors":"Shuilin Wang, Songyong Liu, Fanping Meng","doi":"10.15446/ESRJ.V25N1.93184","DOIUrl":null,"url":null,"abstract":"How to cite item Wang, S., Liu, S. Y., & Meng, F. (2021). Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment. Earth Sciences Research Journal, 25(1), 115-122. DOI: https://doi.org/10.15446/ esrj.v25n1.93184 The traditional research method of fault diagnosis mechanism has poor stability, which leads to the difference of fault diagnosis and location results. Therefore, under the complex geological environment, a new research method of fault diagnosis mechanism of gear and bearing for coal mining equipment is proposed. This method calculates gears and bearings’ yield strength by analyzing coal mining equipment’s bearing capacity elasticity. According to the fitting degree, the equipment sample’s projection space is confirmed, the fault features of gear and bearing are extracted by segmentation algorithm, the optimal fitness is set by positioning algorithm, the location of fault center is obtained, and the fault mechanism diagnosis is studied. Experimental results show that compared with the traditional method, the proposed method is more stable, and the difference in fault diagnosis results is minimal. It can be seen that this method is more suitable for fault diagnosis of coal mining equipment. ABSTRACT Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment","PeriodicalId":11456,"journal":{"name":"Earth Sciences Research Journal","volume":"25 1","pages":"115-122"},"PeriodicalIF":0.7000,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment\",\"authors\":\"Shuilin Wang, Songyong Liu, Fanping Meng\",\"doi\":\"10.15446/ESRJ.V25N1.93184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How to cite item Wang, S., Liu, S. Y., & Meng, F. (2021). Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment. Earth Sciences Research Journal, 25(1), 115-122. DOI: https://doi.org/10.15446/ esrj.v25n1.93184 The traditional research method of fault diagnosis mechanism has poor stability, which leads to the difference of fault diagnosis and location results. Therefore, under the complex geological environment, a new research method of fault diagnosis mechanism of gear and bearing for coal mining equipment is proposed. This method calculates gears and bearings’ yield strength by analyzing coal mining equipment’s bearing capacity elasticity. According to the fitting degree, the equipment sample’s projection space is confirmed, the fault features of gear and bearing are extracted by segmentation algorithm, the optimal fitness is set by positioning algorithm, the location of fault center is obtained, and the fault mechanism diagnosis is studied. Experimental results show that compared with the traditional method, the proposed method is more stable, and the difference in fault diagnosis results is minimal. It can be seen that this method is more suitable for fault diagnosis of coal mining equipment. ABSTRACT Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment\",\"PeriodicalId\":11456,\"journal\":{\"name\":\"Earth Sciences Research Journal\",\"volume\":\"25 1\",\"pages\":\"115-122\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earth Sciences Research Journal\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.15446/ESRJ.V25N1.93184\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth Sciences Research Journal","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.15446/ESRJ.V25N1.93184","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment
How to cite item Wang, S., Liu, S. Y., & Meng, F. (2021). Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment. Earth Sciences Research Journal, 25(1), 115-122. DOI: https://doi.org/10.15446/ esrj.v25n1.93184 The traditional research method of fault diagnosis mechanism has poor stability, which leads to the difference of fault diagnosis and location results. Therefore, under the complex geological environment, a new research method of fault diagnosis mechanism of gear and bearing for coal mining equipment is proposed. This method calculates gears and bearings’ yield strength by analyzing coal mining equipment’s bearing capacity elasticity. According to the fitting degree, the equipment sample’s projection space is confirmed, the fault features of gear and bearing are extracted by segmentation algorithm, the optimal fitness is set by positioning algorithm, the location of fault center is obtained, and the fault mechanism diagnosis is studied. Experimental results show that compared with the traditional method, the proposed method is more stable, and the difference in fault diagnosis results is minimal. It can be seen that this method is more suitable for fault diagnosis of coal mining equipment. ABSTRACT Fault diagnosis mechanism of gears and bearings for coal mining equipment in a complex geological environment
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