复杂地质环境下煤矿设备齿轮和轴承的故障诊断机制

IF 0.7 4区 地球科学 Q4 GEOSCIENCES, MULTIDISCIPLINARY Earth Sciences Research Journal Pub Date : 2021-04-16 DOI:10.15446/ESRJ.V25N1.93184
Shuilin Wang, Songyong Liu, Fanping Meng
{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}
引用次数: 0

摘要

如何引用项目王,S.,刘,S.Y.,&孟,F.(2021)。复杂地质环境下煤矿设备齿轮和轴承的故障诊断机制。《地球科学研究杂志》,25(1),115-122。DOI:https://doi.org/10.15446/esrj.v25n1.93184传统的故障诊断机制研究方法稳定性较差,导致故障诊断和定位结果存在差异。因此,在复杂的地质环境下,提出了一种新的煤矿设备齿轮轴承故障诊断机理的研究方法。该方法通过对采煤设备承载力弹性的分析,计算出齿轮和轴承的屈服强度。根据拟合程度,确定设备样本的投影空间,通过分割算法提取齿轮和轴承的故障特征,通过定位算法设置最优适应度,获得故障中心位置,并研究故障机理诊断。实验结果表明,与传统方法相比,该方法更加稳定,故障诊断结果的差异最小。由此可见,该方法更适合于煤矿设备的故障诊断。复杂地质环境下煤矿设备齿轮和轴承的故障诊断机制
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Earth Sciences Research Journal
Earth Sciences Research Journal 地学-地球科学综合
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: ESRJ publishes the results from technical and scientific research on various disciplines of Earth Sciences and its interactions with several engineering applications. Works will only be considered if not previously published anywhere else. Manuscripts must contain information derived from scientific research projects or technical developments. The ideas expressed by publishing in ESRJ are the sole responsibility of the authors. We gladly consider manuscripts in the following subject areas: -Geophysics: Seismology, Seismic Prospecting, Gravimetric, Magnetic and Electrical methods. -Geology: Volcanology, Tectonics, Neotectonics, Geomorphology, Geochemistry, Geothermal Energy, ---Glaciology, Ore Geology, Environmental Geology, Geological Hazards. -Geodesy: Geodynamics, GPS measurements applied to geological and geophysical problems. -Basic Sciences and Computer Science applied to Geology and Geophysics. -Meteorology and Atmospheric Sciences. -Oceanography. -Planetary Sciences. -Engineering: Earthquake Engineering and Seismology Engineering, Geological Engineering, Geotechnics.
期刊最新文献
Study on large-gradient deformation of mining areas based on InSAR-PEK technology Estimation of evaporation from the water surface using the norm operator Computer vision techniques applied to automatic detection of sinusoids in borehole resistivity imaging – A comparison with the MSD method Landslide susceptibility mapping of Penang Island, Malaysia, using remote sensing and multi-geophysical methods Influence of Compaction on Electrical Resistivity Characteristics of Fine-grained Soil East of Baghdad City, Iraq
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1