2022
DOI: 10.1016/j.cja.2022.03.002
|View full text |Cite
|
Sign up to set email alerts
|

A multi-parameter model of heat treatment process for soft magnetic materials on performance of HSERs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 24 publications
0
1
0
Order By: Relevance
“…The Preisach model can be classified into continuous models and discrete models. The former needs to be realized by identifying all parameters in the distribution function which identification process is complex and computationally expensive [ 4 , 5 , 6 , 7 , 8 ], the latter requires the identification of the Everett function matrix by first order reversal curves (FORCs) [ 9 ]. However, in the actual measurement process, due to the asymmetric excitation, the DC bias component is brought, and the measurement result has a large deviation.…”
Section: Introductionmentioning
confidence: 99%
“…The Preisach model can be classified into continuous models and discrete models. The former needs to be realized by identifying all parameters in the distribution function which identification process is complex and computationally expensive [ 4 , 5 , 6 , 7 , 8 ], the latter requires the identification of the Everett function matrix by first order reversal curves (FORCs) [ 9 ]. However, in the actual measurement process, due to the asymmetric excitation, the DC bias component is brought, and the measurement result has a large deviation.…”
Section: Introductionmentioning
confidence: 99%