KLI

Login OAK 국가리포지터리

검색

Ulsan Univ. Repository Journal Papers Engineering IT Convergence

Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer

1
2
3
4
5

Metadata Downloads

Author(s): 필탄 파르진; 김종면

Issued Date: 2020

Type: Article

Keyword: rotating machine; bearing; adaptive cascade observer; support vector machine; proportional-integral (PI) observer; structure fault observer; fuzzy technique; orthonormal regressive function approximation; adaptive technique; fault detection; fault classification; machine learning

DOI: 10.3390/app10175827

URI: https://oak.ulsan.ac.kr/handle/2021.oak/11032

Publisher: APPLIED SCIENCES-BASEL

Language: 영어

ISSN: 2076-3417

Citation Volume: 10

Citation Number: 17

Citation Start Page: 5827

Citation End Page: 5827

Appears in Collections:: Engineering > IT Convergence

메타데이터 간략히 보기메타데이터 전체 보기

공개 및 라이선스

공개 구분공개

qrcode

트윗하기

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

OAK Ulsan Univ. Repository는 국립중앙도서관 OAK Repository 보급사업으로 구축되었습니다.

Anonymous

Login

Guide