TY - JOUR
T1 - Diagnosis method for spacecraft using dynamic bayesian networks
AU - Kawahara, Yoshinobu
AU - Yairi, Takehisa
AU - Machida, Kazuo
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - Development of sophisticated anomaly detection and diagnosis methods for spacecraft is one of the important problems in space system operation. In this study, we propose a diagnosis method for spacecraft using probabilistic reasoning and statistical learning with Dynamic Bayesian Networks (DBNs). In this method, the DBNs are initially from prior-knowledge, then modified or partly re-constructed by statistical learning with operation data, as a result adaptable and in-depth diagnosis is performed by probabilistic reasoning using the DBNs. The proposed method was applied to the telemetry data that simulates the malfunction of thrusters in rendezvous maneuver of spacecraft, and the effectiveness of the method was confirmed.
AB - Development of sophisticated anomaly detection and diagnosis methods for spacecraft is one of the important problems in space system operation. In this study, we propose a diagnosis method for spacecraft using probabilistic reasoning and statistical learning with Dynamic Bayesian Networks (DBNs). In this method, the DBNs are initially from prior-knowledge, then modified or partly re-constructed by statistical learning with operation data, as a result adaptable and in-depth diagnosis is performed by probabilistic reasoning using the DBNs. The proposed method was applied to the telemetry data that simulates the malfunction of thrusters in rendezvous maneuver of spacecraft, and the effectiveness of the method was confirmed.
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M3 - Conference article
AN - SCOPUS:28744444993
SP - 649
EP - 656
JO - European Space Agency, (Special Publication) ESA SP
JF - European Space Agency, (Special Publication) ESA SP
SN - 0379-6566
IS - 603
T2 - i- SAIRAS 2005 - The 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space
Y2 - 5 September 2005 through 8 September 2005
ER -