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An Improved Centered Cycle Method for Identifying the Preisach Distribution Function
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.jmmm.2004.03.007openalex-snapshot
State-independent hypothesis to model the behavior of magnetic materials
inferredcites →https://doi.org/10.1016/j.jmmm.2016.01.027openalex-snapshot
Implementation and identification of Preisach type hysteresis models with Everett Function in closed form
inferredcites →https://doi.org/10.1016/j.physb.2015.04.040openalex-snapshot
A Preisach-type model based on differential operators for rate-dependent hysteretic dynamics
inferredcites →https://doi.org/10.1016/s0304-8853(02)01463-4openalex-snapshot
Comparison of Preisach and Jiles–Atherton models to take into account hysteresis phenomenon for finite element analysis
inferredcites →https://doi.org/10.1108/03321640010347439openalex-snapshot
Determination of the distribution function of Preisach’s model using centred cycles
inferredcites →https://doi.org/10.1109/20.92290openalex-snapshot
Dynamic Preisach models of hysteresis
inferredcites →https://doi.org/10.1109/20.996228openalex-snapshot
Dynamic hysteresis modeling based on Preisach model
inferredcites →https://doi.org/10.1109/tmag.2004.829250openalex-snapshot
A Novel Neural Approach to the Determination of the Distribution Function in Magnetic Preisach Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4760507openalex-extracted
An Intelligent Magnetic Hysteresis Model Based on a Backpropagation Neural Network with Preisach Operators
inferred← citeshttps://doi.org/10.1016/j.ijepes.2019.02.050openalex-snapshot
Low-frequency model for single-phase transformers based on the three-component Preisach model considering deep saturation
inferred← citeshttps://doi.org/10.1016/j.jmmm.2021.168663openalex-snapshot
Hybrid intelligent hysteresis model based on DBN-DNN algorithm and fusion Preisach operator
inferred← citeshttps://doi.org/10.1016/j.jmmm.2022.169839openalex-snapshot
Research on the inverse vector hysteresis model with the deep learning parameter identification algorithm
inferred← citeshttps://doi.org/10.1088/1361-6501/adc621openalex-snapshot
Accurate fitting of Preisach model parameters using GMM with non-uniform grid partition
inferred← citeshttps://doi.org/10.1109/i2mtc48687.2022.9806703openalex-snapshot
Definition and Identification of an Improved Preisach Model for Magnetic Hysteresis Based on the KP operator
inferred← citeshttps://doi.org/10.1109/tpwrd.2021.3100602openalex-snapshot
A Method for Extracting Stray Capacitance and Hysteresis Curves of Potential Transformers Based on Frequency Referring
inferred← citeshttps://doi.org/10.1155/2021/9424957openalex-snapshot
Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model
inferred← citeshttps://doi.org/10.2528/pierm25120102openalex-snapshot
Adaptive Metaheuristic Optimization of New Dynamic Preisach Hysteresis Modeling
inferred← citeshttps://doi.org/10.30941/cestems.2023.00038openalex-snapshot
An Improved Preisach Distribution Function Identification Method Considering the Reversible Magnetization
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