Modeling of the Thermal Field of a Semiconductor Converter for Prediction of Pre-Failure States
Year: 2026
Type: conference-paper
Abstract: At present, the role of semiconductor converters within aircraft electrical power supply systems on modern types of aircraft is significantly increasing. This leads to an increase in the number of emergency operating modes and converter failures, which substantially affects flight safety. Diagnostic methods currently used make it possible to monitor the technical condition of the device; however, the accuracy of such methods directly depends on the accuracy of the measuring instruments used. In addition, existing methods provide information only about the state of the device at the current moment and are not capable of predicting a possible failure. This paper proposes a methodology based on the use of a modified finite volume method with the application of the method of mathematical prototyping of energy processes for modeling the thermal field of a semiconductor converter. The use of digital twin technology when implementing a diagnostic algorithm in an onboard computer makes it possible to present the obtained analytical function of the scalar temperature field of the investigated object in the form of a digital thermal portrait, which can be used to assess its technical condition at the current moment of time, as well as to predict its pre-failure states.
Institution: Moscow State Technical University of Civil Aviation
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7202298142