Model-based Prognostics with Fixed-lag Particle Filters

Metadata Updated: May 6, 2016

Model-based prognostics exploits domain knowl- edge of the system, its components, and how they fail by casting the underlying physical phenom- ena in a physics-based model that is derived from first principles. In most applications, uncertain- ties from a number of sources cause the predic- tions to be inaccurate and imprecise even with accurate models. Therefore, algorithms are em- ployed that help in managing these uncertainties. Particle filters have become a popular choice to solve this problem due to their wide applicability and ease of implementation. We present a gen- eral model-based prognostics methodology using particle filters. In order to provide more accu- rate and precise estimates, and, therefore, more accurate and precise predictions, we investigate the use of fixed-lag filters. We develop a detailed physics-based model of a pneumatic valve, and perform comprehensive simulation experiments to illustrate our prognostics approach. The exper- iments demonstrate the advantages that fixed-lag filters may provide in the context of prognostics, as measured by prognostics performance metrics.

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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 February 26, 2016
Metadata Updated Date May 6, 2016
Data Update Frequency irregular

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date February 26, 2016
Metadata Updated Date May 6, 2016
Publisher Dashlink
Unique Identifier DASHLINK_769
Miryam Strautkalns
Maintainer Email
Id {$oid: 56cf5b00a759fdadc44e5711}
Public Access Level public
Data Update Frequency irregular
Bureau Code 026:00
Metadata Context
Schema Version
Catalog Describedby
Harvest Object Id 1abed1e5-1c05-4ab1-9935-439cc7c11657
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2013-06-19T20:57:40
Homepage URL
Language en-US
Data Last Modified 2013-06-19T20:58:17
Program Code 026:029
Publisher Hierarchy U.S. Government > National Aeronautics and Space Administration > Dashlink
Source Datajson Identifier True
Source Hash 4e8f9c7cb5a0399ac0e6df1ebde2af451250851e
Source Schema Version 1.1

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