Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/24780
Title: Modified hybrid model of boost converters for parameter identification of passive components
Authors: Lei Ren|Chunying Gong
subject: recursive least squares arithmetic|WTD|nonideal factors|boost converter modified hybrid model|low-cost method|inductor parasitic resistance|power electronic converter reliability enhancement|wavelet denoising|hybrid model-based monitoring method|gate sign
Year: 2018
Publisher: IET
URI: http://localhost/handle/Hannan/24780
ISSN: 1755-4535
volume: Volume 11
issue: Issue 4
More Information: 764
771
IET Power Electronics
Appears in Collections:2018

Files in This Item:
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08338273.pdf3.11 MBAdobe PDFThumbnail
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Title: Modified hybrid model of boost converters for parameter identification of passive components
Authors: Lei Ren|Chunying Gong
subject: recursive least squares arithmetic|WTD|nonideal factors|boost converter modified hybrid model|low-cost method|inductor parasitic resistance|power electronic converter reliability enhancement|wavelet denoising|hybrid model-based monitoring method|gate sign
Year: 2018
Publisher: IET
URI: http://localhost/handle/Hannan/24780
ISSN: 1755-4535
volume: Volume 11
issue: Issue 4
More Information: 764
771
IET Power Electronics
Appears in Collections:2018

Files in This Item:
File Description SizeFormat 
08338273.pdf3.11 MBAdobe PDFThumbnail
Preview File
Title: Modified hybrid model of boost converters for parameter identification of passive components
Authors: Lei Ren|Chunying Gong
subject: recursive least squares arithmetic|WTD|nonideal factors|boost converter modified hybrid model|low-cost method|inductor parasitic resistance|power electronic converter reliability enhancement|wavelet denoising|hybrid model-based monitoring method|gate sign
Year: 2018
Publisher: IET
URI: http://localhost/handle/Hannan/24780
ISSN: 1755-4535
volume: Volume 11
issue: Issue 4
More Information: 764
771
IET Power Electronics
Appears in Collections:2018

Files in This Item:
File Description SizeFormat 
08338273.pdf3.11 MBAdobe PDFThumbnail
Preview File