Open AccessProceedings Article
Diagnosis Method for Spacecraft Using Dynamic Bayesian Networks
Yoshinobu Kawahara,Takehisa Yairi,Kazuo Machida +2 more
- 01 Aug 2005
- Vol. 603, Iss: 603, pp 649-656
15
TL;DR: The proposed diagnosis method for spacecraft using probabilistic reasoning and statistical learning with Dynamic Bayesian Networks (DBNs) was applied to the telemetry data that simulates the malfunction of thrusters in rendezvous maneuver of spacecraft.
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Abstract: 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 priorknowledge, 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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Citations
A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction
TL;DR: A new data-driven health monitoring and anomaly detection method for artificial satellites based on probabilistic dimensionality reduction and clustering, taking into consideration the miscellaneous characteristics of the spacecraft housekeeping data is proposed.
145
Telemetry-mining: a machine learning approach to anomaly detection and fault diagnosis for space systems
Takehisa Yairi,Yoshinobu Kawahara,Ryohei Fujimaki,Y. Sato,K. Machida +4 more
- 17 Jul 2006
TL;DR: The concept of ML/DM-based approach to this problem is explained, and several anomaly detection/diagnosis methods which have been developed by the authors are introduced.
76
Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead
Pingyue Yue,Jianping An,Jian-Kang Zhang,Jia Ye,Gaofeng Pan,Shuai Wang,Lajos Hanzo +6 more
- 09 Jan 2022
TL;DR: In this paper , the security and reliability issues of low Earth Orbit (LEO) satellite communication systems (SCSs) are discussed, including potential security attacks launched against them and reliability risks.
41
Fault detection with Conditional Gaussian Network
TL;DR: The main interest of this paper is to illustrate a new representation of the Principal Component Analysis for fault detection under a Conditional Gaussian Network (CGN), a special case of Bayesian networks.
29
Conditional Gaussian Network as PCA for fault detection
TL;DR: The probability limits to use in order to match the decisions made by quadratic statistics are demonstrated and the equivalence between the method and PCA based fault detection is validated on the Tennessee Eastman process data sets.
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