江苏大学主页平台管理系统 Tang Shengnan--Home-- A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images

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

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

Hits: Praise

Affiliation of Author(s):502070

Journal:ADVANCED ENGINEERING INFORMATICS

ISSN No.:1474-0346

Translation or Not:no

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