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.

Access & Use Information

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

Downloads & Resources


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

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date August 1, 2018
Publisher Dashlink
Unique Identifier DASHLINK_761
Miryam Strautkalns
Maintainer Email
Id {$oid: 56cf5b00a759fdadc44e57bd}
Public Access Level public
Data Update Frequency irregular
Bureau Code 026:00
Metadata Context
Schema Version
Catalog Describedby
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
Language en-US
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

Didn't find what you're looking for? Suggest a dataset here.