Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A Case Study Based on Electrical Overstress Accelerated Aging

Metadata Updated: August 1, 2018

A remaining useful life prediction methodology for elec- trolytic capacitors is presented. This methodology adopts a Kalman filter approach in conjunction with an empirical state-based degradation model to predict the degradation of capacitor parameters through the life of the capacitor. Elec- trolytic capacitors are used in several applications ranging from power supplies on critical avionics equipment to power drivers for electro-mechanical actuators. These devices are known for their comparatively low reliability and given their criticality in electronics subsystems they are good candi- dates for component level prognostics and health manage- ment. Prognostics provides a way to assess remaining use- ful life of a capacitor based on its current state of health and its anticipated future usage and operational conditions. This paper discusses the empirical degradation models and experi- mental results of an accelerated aging test performed on a set of identical capacitors subjected to electrical stress. The data form the basis for developing the Kalman-filter based remain- ing life prediction algorithm.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date August 1, 2018
Data Update Frequency irregular

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Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date August 1, 2018
Publisher Dashlink
Unique Identifier DASHLINK_761
Maintainer
Miryam Strautkalns
Maintainer Email
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Public Access Level public
Data Update Frequency irregular
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
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Harvest Object Id 7e0cd751-7746-4ffc-8424-6807640646ee
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2013-06-19T19:10:37
Homepage URL https://c3.nasa.gov/dashlink/resources/761/
Language en-US
License http://www.usa.gov/publicdomain/label/1.0/
Data Last Modified 2013-06-19T19:11:44
Program Code 026:029
Publisher Hierarchy U.S. Government > National Aeronautics and Space Administration > Dashlink
Source Datajson Identifier True
Source Hash fad6595f473b4341bd70d17c6dbf435d95971a29
Source Schema Version 1.1

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