본문 바로가기
주메뉴 바로가기
Home
Location
Introduction
About Lab
Contact Us
Members
Professor
Ph.D. Student
M.S. Student
Intern
Alumni
Research
Prognostics and Health Management
Industrial AI
Design under Uncertainty
Project
Publications
International Journal
Domestic Journal
International Conference
Domestic Conference
Patent
Community
Notice / News
Equipment
Album
Lecture
Gwangju Institute of Science and Technology
Smart Diagnosis and Design Optimization Laboratory
Publications
International Journal
Domestic Journal
International Conference
Domestic Conference
Patent
> Publications >
International Journal
International Journal
Title
Classification of Operating Condition of Wind Turbines for a Class-wise Condition Monitoring Strategy
Journal
Renewable Energy
Authors
J. M. Ha, H. Oh*, J. Park, and B. D. Youn*
Date
2017.04.
Citation Index
SCIE, SCOPUS, EI (IF: 3.404, Rank: 26.71%)
Vol. / Page
Vol.103, pp.594-605
File
Link
Visits
689
Previous
Bi-variate Lifetime Model for Organic Light-emitting Diodes
Next
Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis
List
비밀번호 입력
비밀번호
확인
비밀번호 입력
비밀번호
확인