A Multiple Model Based Approach for Deep Space Power System Fault Diagnosis
Improving protection and health management capabilities onboard the electrical power system (EPS) for spacecraft is essential for ensuring safe and reliable conditions for deep space human exploration. Electrical protection and control technologies on the National Aeronautics and
Selection note: Curated for a multiple-model approach to autonomous electrical-power fault detection and diagnosis when deep-space communication limits ground monitoring and intervention.
Evidence boundary: NTRS lists open full text, but this pass did not validate diagnostic coverage, false alarms, fault injection, or safety performance. It is assurance-method context, not evidence of autonomous habitat readiness.
Stable record
ntrs-20190004938
Topic
power-thermal
Type
Conference Paper
Publisher
Glenn Research Center
Authors
Carbone, Marc A.; Csank, Jeffrey T.; Tomko, Brian J.; Follo, Jeffrey C.; Muscatello, Matthew J.
Year
2019
Editorial state
metadata curated editorial draft
Reviewer
GShips Project editorial synthesis
Official link checked
2026-07-25
Source-supplied abstract
Improving protection and health management capabilities onboard the electrical power system (EPS) for spacecraft is essential for ensuring safe and reliable conditions for deep space human exploration. Electrical protection and control technologies on the National Aeronautics and Space Administration's (NASA's) current human space platform relies heavily on ground support to monitor and diagnose power systems and failures. As communication bandwidth diminishes for deep space applications, a transformation in system monitoring and control becomes necessary to maintain high reliability of electric power service. This paper presents a novel approach for on-line power system security monitoring for autonomous deep space spacecraft.
Abstract text has not been adopted as a GShips conclusion.
What would change this record?
A newer or corrected version, a retraction, a verified duplicate, a material topic mismatch, a changed access state, or claim-level review would trigger a dated editorial update.
NTRS lists open full text, but this pass did not validate diagnostic coverage, false alarms, fault injection, or safety performance. It is assurance-method context, not evidence of autonomous habitat readiness.
Source-supplied titles, abstracts, authors, and dates may require correction against the canonical full text.
What would change this page?
A newer or corrected version, retraction, verified duplicate, material topic mismatch, changed access state, or claim-level assessment would change this record.
People, review, and conflicts
Prepared by
GShips Project
Editorial status
metadata-curated-editorial-draft
Editorial reviewer
GShips Project editorial synthesis
Last editorial review
No editorial-review date recorded
Independent review
pending
Independent reviewer
No independent reviewer assigned
Last independent review
No independent-review date exists
Last content edit
Not recorded separately
Official source or link verified
2026-07-25
Declared conflicts
The maintainer intends to explore a commercial venture based on some GShips work. No entity, outside funding, customer, sponsor, or indexed-organization relationship currently exists.