南京航空航天大学主页平台管理系统 kangyuxiang--Home-- A New Dual-Input Deep Anomaly Detection Method for Early Faults Warning of Rolling Bearings

Paper Publications

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

A New Dual-Input Deep Anomaly Detection Method for Early Faults Warning of Rolling Bearings

Hits:

Journal:Sensors

Indexed by:Journal paper

Discipline:Engineering

Document Type:J

Volume:23

Issue:18

Translation or Not:no

Date of Publication:2023-10-18

Included Journals:SCI

Co-author:王浩,潘文平,尉询楷

Correspondence Author:陈果

Pre One:A dual-experience pool deep reinforcement learning method and its application in fault diagnosis of rolling bearing with unbalanced data

Next One:Dual-Input Anomaly Detection Method Based on Deep Reinforcement Learning

Personal information

Research Associate

Gender:Male

Alma Mater:南京航空航天大学

Education Level:南航航空航天大学

Degree:Doctoral Degree in Engineering

School/Department:通用航空与飞行学院

Business Address:南京航空航天大学天目湖校区尚德楼E224房间

Contact Information:18040038672

Click:

Open time:..

The Last Update Time:..