Title :
Online Thermal Monitoring Models for Induction Machines
Author_Institution :
Sch. of Power & Mech. Eng., Wuhan Univ., Wuhan, China
Abstract :
This paper presents a new transfer function approach for calculating both the average temperature and hot spot temperature of an induction machine with the consideration of temperature-dependent material properties and speed-dependent heat transfer coefficient. Green´s functions are introduced and taken as the new transfer functions. Online thermal monitoring models for induction machines are obtained based on Green´s function method. Using the presented method, the hot spot temperature and average temperature can be calculated accurately and rapidly. The proposed method is validated via finite-element method and experimental measurement.
Keywords :
Green´s function methods; asynchronous machines; heat transfer; thermal analysis; transfer functions; Green function; average temperature; hot spot temperature; induction machines; online thermal monitoring; speed-dependent heat transfer coefficient; temperature dependent material properties; transfer function; Finite element analysis; Green´s function methods; Heat transfer; Induction motors; Temperature; Temperature measurement; Temperature sensors; Finite-element methods (FEMs); Green function; induction machines; induction motor protection; modeling; monitoring; temperature measurement;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2015.2431444