山东大学教师主页马赛 Ensemble deep learning-based fault diagnosis of rotor bearing systems Home

马赛

Associate Professor

Gender:Male
Status:Employed
School/Department:机械工程学院
Date of Employment:2018-11-26
College: School of Mechanical Engineering

MOBILE Version

Click:Times

The Last Update Time: ..

Vnh Viz NVv irr mGU Oas mvI oaW J3V 2O9 Ho9 bxd 6Cq 9nJ xZ2 WcE 9IH RMq OYS 2HO

Current position: Home >> Scientific Research >> Paper Publications

Ensemble deep learning-based fault diagnosis of rotor bearing systems

Hits:

Institution:机械工程学院

Title of Paper:Ensemble deep learning-based fault diagnosis of rotor bearing systems

Journal:COMPUTERS IN INDUSTRY

First Author:马赛

Document Code:4E2CF117A37B4BB3855A3CDE36BE8920

Volume:105

Page Number:143

Number of Words:8

Translation or Not:No

Date of Publication:2019-02

Release Time:2021-05-31

Prev One:Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions

Next One:风速时间序列模拟的模型有效性验证及代表性风场实例分析

Copyright All Rights Reserved Shandong University Address: No. 27 Shanda South Road, Jinan City, Shandong Province, China: 250100
Information desk: (86) - 0531-88395114
On Duty Telephone: (86) - 0531-88364731 Construction and Maintenance: Information Work Office of Shandong University