TY - GEN
T1 - Weibull Distribution and Geometrical Size Factor for Evaluating the Thermal Life of Electrical Machines' Insulation
AU - Madonna, Vincenzo
AU - Giangrande, Paolo
AU - Galea, Michael
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/18
Y1 - 2020/10/18
N2 - The thermal lifetime assessment of electrical machines' insulation systems is generally performed at the design and prototyping stages. Hence, the insulation system's thermal endurance curve (or temperature index) can be extrapolated, allowing the machine designer to tune lifetime prediction models and / or qualify a market-ready prototype, according to technical standards. The whole thermal evaluation process usually relies on accelerated thermal aging tests carried out on appropriate specimens, and an extensive economical effort could be needed. In this paper, a methodology relying on the Weibull statistical distribution and the geometrical size factor (i.e. statistical enlargement law) is analyzed for evaluating the machine's thermal life by using simple twisted pair as specimen. The obtained results are also experimentally validated against data collected on a different specimen's layout, namely random wound coils, confirming the feasibility of the analyzed approach.
AB - The thermal lifetime assessment of electrical machines' insulation systems is generally performed at the design and prototyping stages. Hence, the insulation system's thermal endurance curve (or temperature index) can be extrapolated, allowing the machine designer to tune lifetime prediction models and / or qualify a market-ready prototype, according to technical standards. The whole thermal evaluation process usually relies on accelerated thermal aging tests carried out on appropriate specimens, and an extensive economical effort could be needed. In this paper, a methodology relying on the Weibull statistical distribution and the geometrical size factor (i.e. statistical enlargement law) is analyzed for evaluating the machine's thermal life by using simple twisted pair as specimen. The obtained results are also experimentally validated against data collected on a different specimen's layout, namely random wound coils, confirming the feasibility of the analyzed approach.
KW - Accelerated Thermal Aging
KW - Design of Experiments
KW - Design of Insulation
KW - Electrical Machines
KW - Physics of Failure
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=85097754020&partnerID=8YFLogxK
U2 - 10.1109/IECON43393.2020.9255227
DO - 10.1109/IECON43393.2020.9255227
M3 - Conference contribution
AN - SCOPUS:85097754020
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 1114
EP - 1119
BT - Proceedings - IECON 2020
PB - IEEE Computer Society
T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Y2 - 19 October 2020 through 21 October 2020
ER -