GAO DONG头像

GAO DONG
  • Introduction
  • Research
  • Teaching
  • Funding
  • Publications
  • Awards
  • Honor Reward
  • Admission
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Fields ： Chemical process safety analysis, simulation, and fault diagnosis
Associate professor 
Department ：
Degree:
ORCID:
DBLPc:

Introduction

Gao Dong, PhD in Engineering, Associate Professor. I graduated from Beijing University of Chemical Technology in 2010 with a PhD in Control Theory and Control Engineering. Served as the Secretary General of the Organizing Committee for the Siemens Cup China Intelligent Manufacturing Challenge Competition organized by the Ministry of Education, a member of the China Simulation Society, a member of the Education and Training Working Committee, and a member of the Simulation Discipline Construction Working Committee. Siemens SCE Elite Lecturer. My main research directions are chemical modeling and simulation, safety science, fault diagnosis and its applications. Published over 30 SCI/EI indexed papers. Hosted and participated in multiple National Natural Science Foundation projects and enterprise horizontal projects. I am the main lecturer of the excellent course Chemical Process and Control Simulation Internship in Beijing.

Education

Work Experience

Social Position

Social Activities

Research

Chemical process safety analysis, simulation, and fault diagnosis

Teaching

1、Internship in Chemical Process and Control Simulation

2、Chemical Safety Assessment

3、Chemical Process Control and Intelligence

4、C Language Programming

Postgraduates

Funding

1、The National Natural Science Foundation (NNSF) of China (61703026)

2、The Key R&D and Transformation Plan Project of Qinghai Province （2023-QY-215）

Vertical Project

Horizontal Project

Publications

（1）CHEN X H, ZHANG B K, GAO D*. Bearing fault diagnosis base on multi-scale CNN and LSTM model [J]. Journal of Intelligent Manufacturing, 2021, 32(4): 971-987. 

（2）WANG Z H, WANG B, REN M, GAO D*. A new hazard event classification model via deep learning and multifractal[J]. Computers in Industry, 2023,147,103875.

（3）WANG Z H, ZHANG B K, GAO D*. A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process[J]. Computers in Industry,2022,139,103647. 

（4）WANG Z H, LIU H Z, LIU F L, GAO D*. Why KDAC? A general activation function for knowledge discovery[J]. Neurocomputing, 2022,501:343-358. 

（5）ZHANG H Q, ZHANG B K, GAO D*. A new approach of integrating industry prior knowledge for HAZOP interaction [J]. Journal of Loss Prevention in the Process Industries, 2023,82,105005.

（6）ZHAO Y C, ZHANG B K, GAO D*. Construction of petrochemical knowledge graph based on deep learning[J]. Journal of Loss Prevention in the Process Industries, 2022,76,104736.

Awards

Patent

Honor Reward

Admissions Information

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  • Email: gaodong@mail.buct.edu.cn
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