Abstract
Usually analytical weighting function is used in Preisach model application, since the use of derivation of experimental first order reverse curves exhibits large errors. To reduce the errors, extended experiments and methods for reduction of experimental errors are presented in the paper. Weighting function obtained by numeric derivation leads to acceptable agreement with experiments in Preisach model. Further improvement can be obtained by suggested reduction of remaining errors in experimental data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
