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基于时空特征挖掘的风电机组智能故障诊断

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Leading Scientist : He Qun

Affiliation of Participant(s) : 303

Project Level : Provincial and ministerial-level

Type of Research Outcome : 应用研究

Sub-Class of Project : 省、市、自治区科技项目

Status : 进行

Type of Project : 应用研究

Nature of Project : 基于时空特征挖掘的风电机组智能故障诊断

Project Number : F2021203009

Date of Project Approval : 2021-06-24

Expected Date of Project Completion : 2023-12-31

Date of Project Initiation : 2021-01-01

Pre One : 融合振动-电流信号特征学习的风电传动系统智能故障诊断

Next One : 新工科人才创新创业能力的多元化培育模式探索

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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