中国矿业大学主页平台系统 liyong--Home-- Study on planetary gear fault diagnosis based on variational mode decomposition and deep neural networks

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

Study on planetary gear fault diagnosis based on variational mode decomposition and deep neural networks

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Journal:MEASUREMENT

Indexed by:Journal paper

Document Type:J

Volume:130

Page Number:94-104

Translation or Not:no

Date of Publication:2018-10-01

Included Journals:SCI

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

Next One:Planetary Gear Fault Diagnosis via Feature Image Extraction Based on Multi Central Frequencies and Vibration Signal Frequency Spectrum

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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