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同专业硕导
李勇
( 讲师 )
赞
的个人主页 http://faculty.cumt.edu.cn/liyong/zh_CN/index.htm
讲师 硕士生导师
教师拼音名称:
liyong
所在单位:
机电工程学院
学历:
研究生教育
办公地点:
机电工程学院A505
性别:
男
联系方式:
15190675083
学位:
博士
毕业院校:
中国矿业大学
论文成果
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论文成果
[1]
Research on Bearing Fault Diagnosis Method Based on Filter Features of MOMLMEDA and LSTM.ENTROPY
[2]
李勇,Zhang, Hongyao,Ma, Sencai,程刚,姚强岭,Zuo, Chuanwei.A Novel Method Based on Stepwise Variational Modal Decomposition and Gramian Angular Difference Field for Bearing Health Monitoring,2024,卷: 49期: 11页: 15773-15786
[3]
李勇,张宏耀,马森财,李鑫,程刚,姚强岭,左传伟.Weak Feature Extraction Method for Bearing Faults Under Low-Speed Heavy-Duty Conditions,2024,vol.12, pp:126033-126042
[4]
李勇,张启志,庄德玉,邱锦波,程刚.强噪声干扰下采煤机行星齿轮故障诊断方法,2024,50(6)
[5]
李勇,程刚,马森财,李鑫.Research on bearing fault diagnosis method based on SCVMD and CGLF under various rotating speeds,2024,v 46,n 5,p824-831
[6]
李勇,程刚,马森财,李鑫.Bearing fault diagnosis method based on complete center frequency distribution feature,2023,22(6)4100-4116
[7]
李勇,程刚,刘畅.Research on bearing fault diagnosis based on spectrum characteristics under strong noise interference,2021,169
[8]
Coal-rock interface recognition based on permutation entropy of LMD and supervised Kohonen neural network[J].CURRENT SCIENCE,2019,116(1):96-103
[9]
Study on planetary gear fault diagnosis based on variational mode decomposition and deep neural networks[J].MEASUREMENT,2018,130:94-104
[10]
Planetary Gear Fault Diagnosis via Feature Image Extraction Based on Multi Central Frequencies and Vibration Signal Frequency Spectrum[J].SENSORS,2018,18(6)
共10条 1/1
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