Abstrakti
This thesis focuses on the inverse thermal process of determining power losses of electrical machines from temperature measurements. The feasibility of this endeavour is investigated and the inverse mapping of losses with analytical and numerical thermal models of a 37 kW cage induction motor are demonstrated. Accurate lumped thermal networks as well as 2D and 3D finite element models of a 37 kW motor are built as forward thermal models for this purpose. Attention is given to managing error in measurement so that the temperaturetosource mapping can be accurate. The inverse mapping was achieved with two methods  least squares and conjugate gradient.
The results of the inverse mapping indicate that inverse thermal approaches hold promise in estimating losses in machine domains where direct measurements are cumbersome, such as the stator yoke or tooth regions. Lumped and distributed loss components could be recovered reliably using both inverse methods. Furthermore, a watercooled calorimeter was designed and built to measure the total power loss of the induction motor. With only a few measured temperatures of the motor, the inverse thermal process is able to segregate the total losses into its constituent components.
Alkuperäiskieli  Englanti 

Pätevyys  Tohtorintutkinto 
Myöntävä instituutio 

Valvoja/neuvonantaja 

Kustantaja  
Painoksen ISBN  9789526085777 
Sähköinen ISBN  9789526085784 
Tila  Julkaistu  2019 
OKMjulkaisutyyppi  G5 Tohtorinväitöskirja (artikkeli) 
Sormenjälki Sukella tutkimusaiheisiin 'Inverse Thermal Analysis of Electrical Machines'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.
Siteeraa tätä
Nair, D. G. (2019). Inverse Thermal Analysis of Electrical Machines. Aalto University.