Constarium
← Search

Text · dataset · 2025

A Systems Engineering Approach to Electro-Mechanical Actuator Diagnostic and Prognostic Development

Listed in NASA Data Portal

The authors have formulated a Comprehensive Systems Engineering approach to Electro-Mechanical Actuator (EMA) Prognostics and Health Management (PHM) system development.

Description

The approach implements software tools to integrate simulation-based design principles and dynamic failure mode and effects analysis. It also provides automated failure mode insertion and propagation analysis, PHM algorithm design and verification, full dynamic simulations, code generation, and validation testing.

This process aims to produce the appropriate fault detection and prediction algorithms needed for successful development of an EMA PHM system. As an initial use case, the developed approach was implemented to develop and validate a model-based, virtual sensor software package for landing gear EMA PHM. This effort included creation of a dynamic, component-level system model that can be used to virtually sense parameters, detect degradation, isolate probable root cause, and assess severity.

Read the rest (2 more)

This model is also used as a virtual test bed for performing fault insertion analysis to address algorithm development and experimental prioritization. The developed model was validated using data from a test stand, which was specifically constructed for EMA PHM development. The model-based predictor was then coupled with failure mode diagnostics, advanced knowledge fusion, and failure mode progression algorithms to form a complete prototype EMA PHM solution.

Reproduced by kind permission of MFPT (www.mfpt.org).

Links

Topics

Inferred from text
Systems engineering 78%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NASA Data Portal601e82c0-bf3c-4e02-aa05-8c498ffc128b10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:401006enrichment · data nasa govtaxonomy-embedding@1.1.0title+keywords+description (78%)
created_datesource · data nasa govconnector:data_nasa_gov@1.0.0
descriptionsource · data nasa govconnector:data_nasa_gov@1.0.0/notes
license_textsource · data nasa govconnector:data_nasa_gov@1.0.0
publication_datesource · data nasa govconnector:data_nasa_gov@1.0.0
titlesource · data nasa govconnector:data_nasa_gov@1.0.0/title
updated_datesource · data nasa govconnector:data_nasa_gov@1.0.0