A survey on Fault Detection, Isolation and Recovery (FDIR) module in satellite onboard software

SalarKaleji, Fatemeh; Dayyani, Aboulfazl

doi:10.1109/rast.2013.6581270

Cited by 19 publications

(3 citation statements)

References 1 publication

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“…In order to achieve autonomous and healthy operation of the satellite, the intelligent satellite system uses the FDIR software to monitor the status of the satellite in real time and diagnose and predict its working status and performance trends [18]. When a failure occurs, the FDIR software can locate the failure in time and determine which components are not working normally or the performance is degraded.…”

Section: Failure Detection Isolation and Recovery (Fdir) Designmentioning

confidence: 99%

Design of Intelligent and Open Avionics System Onboard

Wu¹,

Han²,

Wang³

2021

Satellite Systems - Design, Modeling, Simulation and Analysis

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The continuous development of space missions has put forward requirements for high performance, high reliability, intelligence, effective integration, miniaturization, and quick turn around productization of the electronic system of satellites. The complexity of satellites has continued to increase, and the focus of satellite competition has shifted from the launch of success shifts to communication capacity, performance indicators, degree of flexibility, and continuous service capabilities. So, the importance of onboard avionics system is becoming increasingly prominent. In the future, the advanced avionics system integrates most of the platform’s electronic equipment. The design level of the system largely determines the performance of the satellite platform. This chapter focuses on the application requirements of the new generation of intelligent avionics system for future communication satellites and adopts an “open” architecture of “centralized management, distributed measurement and drive, and software and hardware ‘modular’ design” to build a universal, standardized, and scalable intelligent avionics system.

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Section: Failure Detection Isolation and Recovery (Fdir) Designmentioning

confidence: 99%

Design of Intelligent and Open Avionics System Onboard

Wu¹,

Han²,

Wang³

2021

Satellite Systems - Design, Modeling, Simulation and Analysis

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“…There are different approaches to fault identification. Some of them are based on deterministic decision rules [1], [2], [3], [4], others on black box models [5], [6], [7], [8], and still others on grey-box modelling, reasoning about a posteriori probabilities, i.e. based on Bayesian networks [9], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

A fault recovery procedure based on Bayesian reasoning and decision analysis

Vitelli

Formato

Vaccaro

2014

2014 IEEE Metrology for Aerospace (MetroAeroSpace)

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System fault detection and recovery deals with a decision problem under uncertainty in which we first attempt to isolate a fault according to information we collect regarding the system behavior, and after to recovery from the failure by the application of some recovery actions. In this paper we propose a method which makes use of Bayesian networks to reason under uncertainty and decision analysis to search the best recovery action.

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“…There are different approaches to fault identification. Some of them rely on deterministic decision rules [1], [2], [3], [4], [5], [6], others on black box models [7], [8], [9], [10]. A promising approach is based on grey-box modelling, reasoning about a posteriori probabilities, i.e.…”

Section: Introductionmentioning

confidence: 99%

Fault identification by incomplete, asynchronous and partially unforeseen events

Troiano

Vitelli

2013

2013 13th International Conference on Intellient Systems Design and Applications

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Fault identification represents the preliminary step in solving or preventing a failure in reliable systems. The identification passes through the recording and analysis of events used as probes of underlying fault. Sometimes those events are incomplete, they can have in any order and novel in part. In this paper we propose a model based on Bayesian reasoning as means to isolate compatible faults.

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A survey on Fault Detection, Isolation and Recovery (FDIR) module in satellite onboard software

Cited by 19 publications

References 1 publication

Design of Intelligent and Open Avionics System Onboard

Design of Intelligent and Open Avionics System Onboard

A fault recovery procedure based on Bayesian reasoning and decision analysis

Fault identification by incomplete, asynchronous and partially unforeseen events

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