Model-based fault management for spacecraft autonomy

Kolcio, Ksenia; Breger, Louis; Zetocha, Paul

doi:10.1109/aero.2014.6836174

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Rather than relying on state machines for executing fault protection, health maintenance tasknets can restore the minimum functionality required to perform science operations while not endangering spacecraft health [45,46]. Second, this architecture permits integration of on-board health diagnosis to monitor the health of hardware and local models for attitude knowledge and control, a major cause of safing events, to inform these health maintenance tasknets [47,48].…”

Section: Adaptive Fault Protection Enables More Observationsmentioning

confidence: 99%

Enabling and Enhancing Astrophysical Observations with Autonomous Systems

Amini,

Chien,

Fesq

et al. 2020

Preprint

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Section: Adaptive Fault Protection Enables More Observationsmentioning

confidence: 99%

Enabling and Enhancing Astrophysical Observations with Autonomous Systems

Amini,

Chien,

Fesq

et al. 2020

Preprint

Self Cite

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“…Fault detection is highly dependent on the model's accuracy, in [43] there is developed a method of adjusting properly the component equations to be insensitive to noise and disturbances, but sensitive to faults. Based on the complexity of the modelled system and the model's capability of incorporating noise and disturbances, there have been proposed diagnostic rules based on fixed thresholds [44] or adaptive thresholds [45][46][47].…”

Section: Fault Detection Challengesmentioning

confidence: 99%

A review of model based and data driven methods targeting hardware systems diagnostics

Skliros¹,

Miguez²,

Ali³

et al. 2018

Diagnostyka

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System health diagnosis serves as an underpinning enabler for enhanced safety and optimized maintenance tasks in complex assets. In the past four decades, a wide-range of diagnostic methods have been proposed, focusing either on system or component level. Currently, one of the most quickly emerging concepts within the diagnostic community is system level diagnostics. This approach targets in accurately detecting faults and suggesting to the maintainers a component to be replaced in order to restore the system to a healthy state. System level diagnostics is of great value to complex systems whose downtime due to faults is expensive. This paper aims to provide a comprehensive review of the most recent diagnostics approaches applied to hardware systems. The main objective of this paper is to introduce the concept of system level diagnostics and review and evaluate the collated approaches. In order to achieve this, a comprehensive review of the most recent diagnostic methods implemented for hardware systems or components is conducted, highlighting merits and shortfalls.

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Spacecraft System Autonomous Health Management Design

Lei

Liang

et al. 2019

Lecture Notes in Electrical Engineering

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Model-based fault management for spacecraft autonomy

Cited by 5 publications

References 7 publications

Enabling and Enhancing Astrophysical Observations with Autonomous Systems

Enabling and Enhancing Astrophysical Observations with Autonomous Systems

A review of model based and data driven methods targeting hardware systems diagnostics

Spacecraft System Autonomous Health Management Design

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