학술논문
Life Estimation of Electrical Machine using Aging Model
Document Type
Conference
Author
Source
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society (IECON), 2020 The 46th Annual Conference of the IEEE. :1034-1039 Oct, 2020
Subject
Language
ISSN
2577-1647
Abstract
The drive for more electric aircraft (MEA) architecture has resulted in the introduction of high power density electric machines for aircraft propulsion applications. The reliability of the electrical machines in such harsh environments is a challenge that is seldom addressed. The paper proposes, through simulation, the use of aging model to accurately estimate the lifetime of a machine with turn-to-turn short-circuit (TTSC) condition. The proposed aging model considers all the aging factors due to electrical, mechanical and thermal phenomena. The paper also puts forth a cumulative stress curve for various loading & environmental constraints and uses the stress curve with winding temperature to create an aging model to accurately predict and estimate the lifetime of the machine. A bottom-up approach through the developed model can be used to estimate the lifetime of the machine in real-time.