Presentation 2014-11-20
Prediction of Performance Degradation and Lifetime for Semiconductor Devices Using Markov Chain Model
Kai MOMODA, Koichi ENDO, Yoshihiro MIDOH, Katsuyoshi MIURA, Koji NAKAMAE,
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Abstract(in English) We study on a method to predict performance degradation and lifetime of semiconductor devices under the assumption that the deviec characteristics can be monitored periodically. By using the Markov chain model, degradation and lifetime of the MOSFET are predicted based on measured values of gate leakage current. MOSFET degradation states are classfied into discrete states or classes according to its gate leakage current. State transition probabilities are obtained from measured gate leakage current data. In our study, gate leakage current data are obtained by simulation based on the percolation model instead of actual device measurement. Experiments to predict degradation and lifetime of MOSFETs are carried out. In the experiments, gate leakage current data obtained by simulating 1000 devices are used. The experimental results show that device monitoring can enable us to elongate lifetime of system.
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Keyword(in English) Time-to-failure modeling / Time-to-failure statistics / Markov chain model / degradation prediction / lifetime prediction / gate leakage current
Paper # R2014-61
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Committee R
Conference Date 2014/11/13(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Prediction of Performance Degradation and Lifetime for Semiconductor Devices Using Markov Chain Model
Sub Title (in English)
Keyword(1) Time-to-failure modeling
Keyword(2) Time-to-failure statistics
Keyword(3) Markov chain model
Keyword(4) degradation prediction
Keyword(5) lifetime prediction
Keyword(6) gate leakage current
1st Author's Name Kai MOMODA
1st Author's Affiliation Grad. Sch. Information Science & Technology, Osaka University()
2nd Author's Name Koichi ENDO
2nd Author's Affiliation Grad. Sch. Information Science & Technology, Osaka University
3rd Author's Name Yoshihiro MIDOH
3rd Author's Affiliation Grad. Sch. Information Science & Technology, Osaka University
4th Author's Name Katsuyoshi MIURA
4th Author's Affiliation Grad. Sch. Information Science & Technology, Osaka University
5th Author's Name Koji NAKAMAE
5th Author's Affiliation Grad. Sch. Information Science & Technology, Osaka University
Date 2014-11-20
Paper # R2014-61
Volume (vol) vol.114
Number (no) 314
Page pp.pp.-
#Pages 5
Date of Issue