Accelerated Aging Platform for Prognostics of Power Electronics

To advance the field of electronics prognostics, the study of transistor fault modes and their precursors is essential. This paper reports on a platform for the aging, characterization, and scenario simulation of gate controlled power transistors. The platform supports thermal cycling, dielectric over-voltage, acute/chronic thermal stress, current overstress and application specific scenario simulation. In addition, the platform supports in- situ transistor state monitoring, including measurements of the steady-state voltages and currents, measurements of electrical transient response, measurement of thermal transients, and extrapolated semiconductor impedances, all conducted at varying gate and drain voltage levels. The aging and characterization platform consists of an acquisition and aging hardware system, an agile software architecture for experiment control and a collection of industry developed test equipment.

Data and Resources

Additional Info

Field Value
Maintainer Miryam Strautkalns
Last Updated March 31, 2025, 15:52 (UTC)
Created March 31, 2025, 15:52 (UTC)
accessLevel public
accrualPeriodicity irregular
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
harvest_object_id ea52ef86-5d13-4fe1-b338-e602635dc28e
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier DASHLINK_741
issued 2013-05-13
landingPage https://c3.nasa.gov/dashlink/resources/741/
modified 2020-01-29
programCode {026:029}
publisher Dashlink
resource-type Dataset
source_datajson_identifier true
source_hash 722ff574103ba4b838f6a016889bbe223f0cd1957aa2173d25db4f1f05bc4795
source_schema_version 1.1