TY - JOUR
T1 - Kalman Filtering Based On the Maximum Correntropy Criterion in the Presence of Non-Gaussian Noise
AU - Izanloo, Reza
AU - Fakoorian, Seyed Abolfazl
AU - Yazdi, Hadi Sadoghi
AU - Simon, Daniel J.
N1 - R. Izanloo, S. A. Fakoorian, H. S. Yazdi and D. Simon, "Kalman filtering based on the maximum correntropy criterion in the presence of non-gaussian noise," in 2016 Annual Conference on Information Science and Systems (CISS), 2016, pp. 500-505.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Power devices have to withstand fast thermal cycling in automotive applications. In order to guarantee the reliability in these applications, a detailed understanding of the degradation mechanisms is required. One of these mechanisms is inter-layer-dielectric cracking, caused by progressive plastic deformation of metal lines. In a previous publication we have shown that DMOS transistors, with different active areas, which operate in similar conditions, have dissimilar reliabilities. This cannot be explained by state-of-the-art methods, which estimate reliability from the peak junction temperature. In this paper, extended measurement results of a DMOS transistor will be analyzed with the aid of electro-thermal and thermo-mechanical simulations and a new approach for reliability estimation will be proposed.
AB - Power devices have to withstand fast thermal cycling in automotive applications. In order to guarantee the reliability in these applications, a detailed understanding of the degradation mechanisms is required. One of these mechanisms is inter-layer-dielectric cracking, caused by progressive plastic deformation of metal lines. In a previous publication we have shown that DMOS transistors, with different active areas, which operate in similar conditions, have dissimilar reliabilities. This cannot be explained by state-of-the-art methods, which estimate reliability from the peak junction temperature. In this paper, extended measurement results of a DMOS transistor will be analyzed with the aid of electro-thermal and thermo-mechanical simulations and a new approach for reliability estimation will be proposed.
KW - Kalman filter
KW - maximum correntropy criterion (MCC)
KW - non-Gaussian noise
KW - state estimation
UR - https://engagedscholarship.csuohio.edu/enece_facpub/380
UR - http://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?arnumber=7460553sortType=desc_p_Publication_YearsearchWithin=%22First%20Name%22:dansearchWithin=%22Last%20Name%22:simon
U2 - 10.1109/TDMR.2016.2583663
DO - 10.1109/TDMR.2016.2583663
M3 - Article
VL - 99
JO - 2016 Annual Conference on Information Science and Systems (CISS)
JF - 2016 Annual Conference on Information Science and Systems (CISS)
ER -