DocumentCode
708559
Title
ESS/HASS effectiveness model for yield and screen profile optimization
Author
Czerniel, Stan ; Gullo, Lou
Author_Institution
Raytheon Missile Syst., Tucson, AZ, USA
fYear
2015
fDate
26-29 Jan. 2015
Firstpage
1
Lastpage
7
Abstract
Environmental Stress Screen (ESS) and Highly Accelerated Stress Screen (HASS) have been used extensively to screen defects in manufacturing electronic products throughout various industries. To improve the screen effectiveness, an ESS and HASS optimization model has been developed that uses defect Precipitation Effectiveness (PE) and defect Detection Effectiveness (DE) to calculate Screening Strength (SS) over combinations of screens and tests. The model accepts actual or projected manufacturing workmanship and infant mortality defect densities at 4 levels of screening/testing within an ESS regime. Using these defect density estimates with the SS, the remaining defects and yields are calculated at each screening level. Visibility of SS and yields at each screening level allows identification of the optimum ESS regime with respect to test durations, escaped defects and consumption of life and cost of screening. The ESS/HASS Optimization model provides a fast comparison for identification of the most effective screening with respect to the percentage of life consumption.
Keywords
condition monitoring; electronic products; environmental stress screening; inspection; optimisation; ESS-HASS effectiveness model; defect detection effectiveness; defect precipitation effectiveness; electronic products manufacturing; environmental stress screen; highly accelerated stress screen; screen profile optimization; screening strength; yield optimization; Assembly; Electric shock; Fatigue; Indexes; Mathematical model; Testing; Vibrations; ESS Regime; HASS; Random Vibration; Screening Strength; Structural Testing; Thermal Mechanical Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium (RAMS), 2015 Annual
Conference_Location
Palm Harbor, FL
Print_ISBN
978-1-4799-6702-5
Type
conf
DOI
10.1109/RAMS.2015.7105124
Filename
7105124
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