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可用数据稀缺下风电齿轮箱数模联动的深度图迁移智能故障诊断研究
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Leading Scientist : liang pengfei

Affiliation of Participant(s) : 301

Project Level : 厅局级

Type of Research Outcome : 基础研究

Sub-Class of Project : 主管部门科技项目

Status : 进行

Supported by : 河北省教育厅

Nature of Project : 可用数据稀缺下风电齿轮箱数模联动的深度图迁移智能故障诊断研究

Project Number : QN2025090

Date of Project Approval : 2025-01-01

Expected Date of Project Completion : 2027-12-31

Date of Project Initiation : 2025-01-01

Recommended MA Supervisor
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Lecturer (University)
Supervisor of Master's Candidates

Degree : Doctor

Alma Mater : 西安交通大学

Education Level : 博士研究生毕业

School/Department : 电气工程学院

Date of Employment : 2021-07-01

Discipline : Measurement Technology and Instruments

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