Novel Magnetizing Inrush Identification Schemes

Lin, Xin; Ma, Jing; Tian, Qing; Weng, Hanli

doi:10.1002/9781118653838.ch4

Electromagnetic Transient Analysis and Novel Protective Relaying Techniques for Power Transformers 2014

DOI: 10.1002/9781118653838.ch4

|View full text |Cite

Novel Magnetizing Inrush Identification Schemes

Xin Lin

Jing Ma

Qing Tian

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Transformer inrush identification based on improved mathematical gradient with dissociative structuring element

Huang

Zhang

2020

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

This paper presents an improved morphological gradient for transformer inrush identification. Dissociative structuring element is presented and used to perform gradient operation, which can decrease the computational burden. Besides, a new index is introduced to measure the feature of extracted morphological gradient and to distinguish inrush from fault current. Simulation studies are conducted using PSCAD, and the results verify the effectiveness of the proposed method. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

show abstract

Transformer inrush identification based on improved mathematical gradient with dissociative structuring element

Huang

Zhang

2020

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Novel Magnetizing Inrush Identification Schemes

Cited by 1 publication

References 12 publications

Transformer inrush identification based on improved mathematical gradient with dissociative structuring element

Transformer inrush identification based on improved mathematical gradient with dissociative structuring element

Contact Info

Product

Resources

About