DocumentCode :
2811766
Title :
A Novel Thermal Spectrum Analysis Method for Reliability Analysis of Semiconductor Devices
Author :
Zhu, Yangjun ; Miao, Chunyan ; Miao, Qinghai ; Zhang, Xinghua ; Lu, Shuojin
Author_Institution :
Shandong Univ., Jinan
fYear :
2007
fDate :
22-26 April 2007
Firstpage :
856
Lastpage :
859
Abstract :
As a new concept and method, thermal spectrum analysis, is introduced to characterize non-uniform property of junction temperature distribution in this paper. Unlike common infrared image, the proposed thermal spectrum analysis aims at the active region of power devices and provides a quantificational analysis method to effectively investigate thermotics reliability. Both the thermal spectrum curves and the one-dimension temperature distribution curves are given via quantitative and qualitative analysis base on infrared images. The one-dimension temperature distribution curve brings the high readability and convenience for characterizing uniform property and calculating non-uniform degree. The junction temperature distribution of the active region of power devices, peak junction temperature and minimum junction temperature are given in the proposed method. The average junction temperature is calculated through the one-dimension temperature distribution curves. The proposed thermal spectrum analysis, as a new concept, has inducted a novel approach of analyzing temperature distribution of devices. Moreover, the thermal spectrum proposed in this paper will induct a new approach of detecting temperature distribution via complete electrical method, and will create significant impact for the reliability analysis of semiconductor devices.
Keywords :
semiconductor device reliability; semiconductor devices; temperature distribution; infrared image; junction temperature distribution; quantificational analysis; reliability analysis; semiconductor devices; thermal spectrum analysis; thermotics reliability; Bipolar transistors; Data mining; Electronics industry; Image analysis; Infrared imaging; Infrared spectra; Performance analysis; Semiconductor device reliability; Semiconductor devices; Temperature distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
Conference_Location :
Vancouver, BC
ISSN :
0840-7789
Print_ISBN :
1-4244-1020-7
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2007.219
Filename :
4232878
Link To Document :
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