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基于深度多视角学习的风电齿轮传动系统剩余寿命预测

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Leading Scientist : Jiang Guoqian

Affiliation of Participant(s) : 303

Project Level : Provincial and ministerial-level

Type of Research Outcome : 基础研究

Sub-Class of Project : 省、市、自治区科技项目

Status : 完成

Type of Project : 基础研究

Nature of Project : 基于深度多视角学习的风电齿轮传动系统剩余寿命预测

Project Number : F2020203030

Date of Project Approval : 2020-06-01

Expected Date of Project Completion : 2022-12-31

Date of Project Completion : 2023-08-04

Pre One : 风电传动系统多模态监测信息学习融合及健康预警诊断

Next One : 基于时空特征挖掘的风电机组智能故障诊断

Personal information

Associate Professor
Supervisor of Master's Candidates

Degree : Doctor

Education Level : 博士研究生毕业

School/Department : 电气工程学院

Date of Employment : 2018-06-20

Discipline : Measurement Technology and Instruments
Precision Instruments and Machinery
Detection Technology and Automation Device

Business Address : 西校区电气馆A314-1

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