Kalman Filtering Based On the Maximum Correntropy Criterion in the Presence of Non-Gaussian Noise
Document Type
Conference Proceeding
Publication Date
2016
Publication Title
2016 Annual Conference on Information Science and Systems (CISS)
Abstract
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.
Repository Citation
Izanloo, Reza; Fakoorian, Seyed Abolfazl; Yazdi, Hadi Sadoghi; and Simon, Daniel J., "Kalman Filtering Based On the Maximum Correntropy Criterion in the Presence of Non-Gaussian Noise" (2016). Electrical and Computer Engineering Faculty Publications. 380.
https://engagedscholarship.csuohio.edu/enece_facpub/380
Original Citation
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.
DOI
10.1109/TDMR.2016.2583663
Volume
99
