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  1. International Journal of System Assurance Engineering and Management
  2. International Journal of System Assurance Engineering and Management : Volume 4
  3. International Journal of System Assurance Engineering and Management : Volume 4, Issue 1, March 2013
  4. Reliability prediction of semiconductor devices using modified physics of failure approach
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International Journal of System Assurance Engineering and Management : Volume 8
International Journal of System Assurance Engineering and Management : Volume 7
International Journal of System Assurance Engineering and Management : Volume 6
International Journal of System Assurance Engineering and Management : Volume 5
International Journal of System Assurance Engineering and Management : Volume 4
International Journal of System Assurance Engineering and Management : Volume 4, Issue 4, December 2013
International Journal of System Assurance Engineering and Management : Volume 4, Issue 3, September 2013
International Journal of System Assurance Engineering and Management : Volume 4, Issue 2, June 2013
International Journal of System Assurance Engineering and Management : Volume 4, Issue 1, March 2013
Bidirectional migration between variability and commonality in product line engineering of smart homes
A minimum weight labelling method for determination of a shortest route in a non-directed network
Fuzzy fault tree analysis: a review of concept and application
Reliability prediction of semiconductor devices using modified physics of failure approach
Some factors responsible for erratic power supply in Benin City area of Edo state
Sensorless optimal power control of brushless doubly-fed machine in wind power generator based on extended kalman filter
Integrated graphical model to evaluate multi-criteria maintenance policies for degradable systems
Power system: a reliability assessment using FTA
A novel hybrid genetic algorithm for constrained optimization
Reliability modeling of a computer system with preventive maintenance and priority subject to maximum operation and repair times
International Journal of System Assurance Engineering and Management : Volume 3
International Journal of System Assurance Engineering and Management : Volume 2
International Journal of System Assurance Engineering and Management : Volume 1

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Reliability prediction of semiconductor devices using modified physics of failure approach

Content Provider Springer Nature Link
Author Thaduri, Adithya Verma, Ajit Kumar Gopika, V. Gopinath, Rajesh Kumar, Uday
Copyright Year 2013
Abstract Traditional approaches like MIL-HDBK, Telcordia, and PRISM etc. have limitation in accurately predicting the reliability due to advancement in technology, process, materials etc. As predicting the reliability is the major concern in the field of electronics, physics of failure approach gained considerable importance as it involves investigating the root-cause which further helps in reliability growth by redesigning the structure, changing the parameters at manufacturer level and modifying the items at circuit level. On the other hand, probability and statistics methods provide quantitative data with reliability indices from testing by experimentation and by simulations. In this paper, qualitative data from PoF approach and quantitative data from the statistical analysis is combined to form a modified physics of failure approach. This methodology overcomes some of the challenges faced by PoF approach as it involves detailed analysis of stress factors, data modeling and prediction. A decision support system is added to this approach to choose the best option from different failure data models, failure mechanisms, failure criteria and other factors.
Starting Page 33
Ending Page 47
Page Count 15
File Format PDF
ISSN 09756809
Journal International Journal of System Assurance Engineering and Management
Volume Number 4
Issue Number 1
e-ISSN 09764348
Language English
Publisher Springer-Verlag
Publisher Date 2013-02-14
Publisher Place India
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Physics of failure Reliability prediction Time to failure Failure mechanism Failure mode Failure modeling Quality Control, Reliability, Safety and Risk Engineering Economics, Organization, Logistics, Marketing
Content Type Text
Resource Type Article
Subject Strategy and Management Safety, Risk, Reliability and Quality
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