Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In high-por-density por electronics application, it's important to be able to predict the por losses of semiconductor devices in order to maximize global system efficiency and to avoid thermal damages of the components.  a novel approach to model the por losses of Insulate Gate Bipolar Transistors (IGBT) in Induction Cooking (IC) application is proposed. The inherent lack of precise physical IGBT loss model and the uncertainty of load in IC application has stimulated the idea to identify system-level behavioral por loss models that allow to cover a variety of devices and load conditions. For this goal, a Genetic Programming approach has been adopted, that starts from measured electrical quantities and returns a set of models, each one with the same structure but with different parameters relevant to the device under test. The models generated by the proposed method based on a training set of case studies have been merged into a generalized model and verified through a validation set.
['N. Femia', 'M. Migliaro', 'Antonio Della Cioppa']
I am writing a research paper on a idea A genetic programming approach to modeling power losses of Insulate Gate Bipolar Transistors
[{"from": "human", "value": "I am writing a research paper on a idea A genetic programming approach to modeling power losses of Insulate Gate Bipolar Transistors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In high-por-density por electronics application, it's important to be able to predict the por losses of semiconductor devices in order to maximize global system efficiency and to avoid thermal damages of the components.  a novel approach to model the por losses of Insulate Gate Bipolar Transistors (IGBT) in Induction Cooking (IC) application is proposed. The inherent lack of precise physical IGBT loss model and the uncertainty of load in IC application has stimulated the idea to identify system-level behavioral por loss models that allow to cover a variety of devices and load conditions. For this goal, a Genetic Programming approach has been adopted, that starts from measured electrical quantities and returns a set of models, each one with the same structure but with different parameters relevant to the device under test. The models generated by the proposed method based on a training set of case studies have been merged into a generalized model and verified through a validation set."}]