江苏大学主页平台管理系统 Tang Shengnan--Home-- An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal

Tang Shengnan

Associate professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Female
Alma Mater:江苏大学
Education Level:With Certificate of Graduation for Doctorate Study
Degree:doctor
Status:在本单位任职
School/Department:机械工程学院
Date of Employment:2022-02-01
Administrative Position:副教授
Discipline:Mechatronic Engineering
Contact Information:18852866635

Academic Honor:

Honors and Titles:

MOBILE Version

Click:Times

The Last Update Time: ..

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

An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal

Hits: Praise

Affiliation of Author(s):502070

Journal:ENGINEERING FAILURE ANALYSIS

ISSN No.:1350-6307

Translation or Not:no

Pre One:Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform

Next One:A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images

gajgljgfg