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Real-Time Lifetime Prediction of Semiconductor Devices Using Hardware-in-the-Loop
Lee Gill
,
Gab-Su Seo
, Alan Michaels
Power Systems Engineering
Sandia National Laboratories
Virginia Tech
Research output
:
Contribution to conference
›
Paper
1
Scopus Citations
Overview
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Dive into the research topics of 'Real-Time Lifetime Prediction of Semiconductor Devices Using Hardware-in-the-Loop'. Together they form a unique fingerprint.
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Engineering
Semiconductor Device
100%
Loop Control System
100%
Drive System
66%
Motor Drive
66%
Induced Stress
33%
Metrics
33%
Computation Time
33%
Junction Temperature
33%
Demand Profile
33%
Simulated Data
33%
Measurement Time
33%
Dynamic Behavior
33%
Component Model
33%
Scheduling Strategy
33%
Conduction Loss
33%
Switching Loss
33%
Critical Application
33%
Historical Data
33%
Continuous Monitoring
33%
Temperature Profile
33%
Thermoelectricity
33%
Service Life
33%
Computer Science
Hardware-in-the-Loop
100%
Thermal Management
25%
Historical Data
25%
Real Time Computation
25%
Continuous Monitoring
25%
Architectural Framework
25%
Dynamic Behavior
25%
Component Model
25%
Simulated Data
25%
Critical Application
25%
Scheduling Strategy
25%
Physical Domain
25%
Conduction Loss
25%