合肥工业大学主页平台管理系统 zhangqiang--Home-- A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems

Professor

Administrative Position:院长

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:合肥工业大学（屯溪路校区）智能制造与工程管理学科楼 12层1206房间

Degree:Doctoral degree

Status:Employed

Alma Mater:法国斯特拉斯堡大学/国立斯特拉斯堡应用科学院

Discipline:Other specialties in Management Science and Engineering

Current position: Home > Scientific Research > Paper Publications

A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems

Release time:2021-07-13 Hits:

DOI number:10.1007/s10462-021-09993-z

Affiliation of Author(s):合肥工业大学

Journal:Artificial Intelligence Review

First Author:Ting Huang

Indexed by:Journal paper

Correspondence Author:Qiang Zhang

Document Type:J

Translation or Not:no

Date of Publication:2021-04-02

Included Journals:SCI