Intelligent long-term performance analysis in power electronics systems
Abstract This paper proposes a long-term performance indicator for power electronic converters based on their reliability. The converter reliability is represented by the proposed constant lifetime curves, which have been developed using Artificial Neural Network (ANN) under different operating cond...
Guardado en:
Autores principales: | Saeed Peyghami, Tomislav Dragicevic, Frede Blaabjerg |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8593fa95d7ee42f4b0be0b8c18e41e7e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Fuzzy‐based frequency security evaluation of wind‐integrated power systems
por: Joachim Steinkohl, et al.
Publicado: (2021) -
Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe
por: Meisam Babanezhad, et al.
Publicado: (2021) -
Long-Term Performance Analysis Using TRNSYS Software of Hybrid Systems with PV-T
por: Sebastian Pater
Publicado: (2021) -
Neurofeedback training improves episodic and semantic long-term memory performance
por: Yu-Hsuan Tseng, et al.
Publicado: (2021) -
Long-term effects of attentional performance on functional brain network topology.
por: Thomas P K Breckel, et al.
Publicado: (2013)