Dataset Identification:
Resource Abstract:
- Electro-mechanical actuators (EMA) are finding increasing use in aerospace applications, especially with the trend towards
all all-electric aircraft and spacecraft designs. However, electro-mechanical actuators still lack the knowledge base accumulated
for other fielded actuator types, particularly with regard to fault detection and characterization. This paper presents a
thorough analysis of some of the critical failure modes documented for EMAs and describes experiments conducted on detecting
and isolating a subset of them. The list of failures has been prepared through an extensive Failure Modes and Criticality
Analysis (FMECA) reference, literature review, and accessible industry experience. Methods for data acquisition and validation
of algorithms on EMA test stands are described. A variety of condition indicators were developed that enabled detection, identification,
and isolation among the various fault modes. A diagnostic algorithm based on an artificial neural network is shown to operate
successfully using these condition indicators and furthermore, robustness of these diagnostic routines to sensor faults is
demonstrated by showing their ability to distinguish between them and component failures. The paper concludes with a roadmap
leading from this effort towards developing successful prognostic algorithms for electromechanical actuators.
Citation
- Title A Diagnostic Approach for Electro-Mechanical Actuators in Aerospace Systems
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- revision Date
2013-06-19T20:48:39
Resource language:
[u'en-US']
Constraints on resource usage:
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- Constraints
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- Use limitation statement:
- public
point of contact
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publisher
- individual Name {u'hasEmail': u'mailto:miryam.strautkalns@nasa.gov', u'fn': u'Miryam Strautkalns'}
- organisation Name
{u'subOrganizationOf': {u'subOrganizationOf': {u'name': u'U.S. Government'}, u'name': u'National Aeronautics and Space Administration'},
u'name': u'Dashlink'}
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- Contact information
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- Address
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- electronic Mail Address
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Metadata data stamp:
2013-06-19T20:48:39
Metadata contact
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publisher
Metadata scope code
dataset
Metadata standard for this record:
ISO 19115:2003 - Geographic information - Metadata
standard version:
ISO 19115:2003
Metadata record identifier:
DASHLINK_764
Metadata record format is ISO19139 XML (MD_Metadata)