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School of Machinery and Automation

Metallurgical Equipment and Equipment Health Management

Date:2021-04-28  Views:10

威尼斯最新网址-vns9848威尼斯城-首页

The innovative team forMetallurgical Equipment and Equipment Health Management


Prof.

Yourong Li

Prof.

Zhigang Wang

Prof.

Yong Lv

Prof.

Sanxing Zhao

Prof.

Han Xiao

Prof.

Tao Wang

Associate Prof.

Changming Liu

Associate Prof.

Zengbing Xu

Associate Prof.

Guangtao Lu

Associate Prof.

Jinhua Ruan







Team profile

The team undertakes more than 30vertical projects such as National Natural Science Foundation ofChina, the key projects of the Ministry of Education, HubeiProvincial Natural Science Foundation Innovation, and more than 80key research projects for metallurgical enterprises such as Baosteel.The total research funding is more than 40 million yuan. We havepublished more than 200 academic papers, and more than 80 papers havebeen included in SCI and EI. We have won 4 first prizes, 5 secondprizes, 2 third prizes for provincial and ministerial scientific andtechnological progress awards.

The project "Key Technology toReduce the Consumption of Thin Strip Steel Production" withYourong Li as the first completer won the second prize of 2011National Science and Technology Progress Award.

Expertise interests

1. Remote online monitoring anddiagnosis of strength design equipment for metal and refractorycomposite structures

2. Dynamic mechanism and faultdiagnosis of metallurgical machinery

3. Smart materials and healthmonitoring

Major projects

1. Multi-scale simulation method offurnace lining structure based on refractories meso-damage mechanicsmodel, supported by National Natural Scientific Fund

2. High dimensional empirical modedecomposition theory and its application on machinery early faultdiagnosis, supported by National Natural Scientific Fund

3. Dynamic mode decomposition theoryand its application to machinery early fault diagnosis, supported byNational Natural Scientific Fund

4. Research on the deep transfer metriclearning method with wideness self-adaptiveness and its applicationto the fault diagnosis and prediction of mechanical equipment,supported by National Natural Scientific Fund

5. Research on the mechanism and methodof bolted joint health monitoring based on piezoelectric activesensing, supported by National Natural Scientific Fund

6. Research on crack dynamicpropagating mechanism of a coupling fault rotor under multi-scalecompetition and its remaining useful life prediction, supported byNational Natural Scientific Fund

7. Research on damage dynamic mechanismand early fault diagnosis of metallurgical machinery, supported by ofHubei Provincial Natural Science Foundation Innovation Group Project

8. Theoretical research on faultfeature extraction of mechanical equipment based on multiplemulti-scale decomposition, supported by of Hubei ProvincialOutstanding Youth Foundation of Natural Science Foundation


Head’scontact

Prof. Yourong Li:





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