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dc.contributor.author양해원-
dc.date.accessioned2019-05-13T01:23:21Z-
dc.date.available2019-05-13T01:23:21Z-
dc.date.issued2009-04-
dc.identifier.citation2009 대한전기학회 전기설비전문위원회 춘계학술대회 논문집, Page. 77-79en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE01333155-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/103911-
dc.description.abstractNonlinear system fault detection and isolation of this paper is about the failure of unknown function approximation using neural network for fault detection and isolation techniques of induction motors were applied, observer-based fault signal residual value was used. Induction motor using the speed controller of the backstepping controller. Proposed fault detection and isolation to prove the performance of the simulation was applied to and the actual system.en_US
dc.language.isoko_KRen_US
dc.publisher대한전기학회en_US
dc.title유도전동기를 위한 관측기 기반의 고장감지 및 분리기법 설계en_US
dc.title.alternativeDesign of Observer-Based Fault Detection and Isolation techniques for Induction Motorsen_US
dc.typeArticleen_US
dc.contributor.googleauthor한병조-
dc.contributor.googleauthor박기광-
dc.contributor.googleauthor구경완-
dc.contributor.googleauthor양해원-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidhwyang-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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