中国矿业大学主页平台系统 liyong--Home-- Research on bearing fault diagnosis based on spectrum characteristics under strong noise interference

李勇

Lecturer
Supervisor of Master's Candidates

E-Mail:

Date of Employment:2021-12-30

School/Department:机电工程学院

Education Level:The graduate student is educated

Business Address:机电工程学院A505

Gender:Male

Degree:Doctor

Alma Mater:中国矿业大学

Paper Publications

Research on bearing fault diagnosis based on spectrum characteristics under strong noise interference

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DOI number:10.1016/j.measurement.2020.108509

Affiliation of Author(s):机电工程学院

Funded by:其他课题

First Author:liyong

Co-author:Cheng Gang,刘畅

Indexed by:Journal paper

Document Code:5b5bb294806a1614018091eda1342d77

Volume:169

ISSN No.:0263-2241

Translation or Not:no

Date of Publication:2021-02-01

Pre One:Bearing fault diagnosis method based on complete center frequency distribution feature

Next One:Coal-rock interface recognition based on permutation entropy of LMD and supervised Kohonen neural network

李勇，男，1992年生，江苏连云港人，于2021年在中国矿业大学获得博士学位，现就职于中国矿业大学机电工程学院。研究方向为机电装备健康状态监测，已获得国家自然科学基金一项，发表SCI学术论文20余篇。现招收对状态监测、信号分析、数据处理和模式识别等方向感兴趣的硕士研究生。

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