TY - GEN

T1 - Spacecraft telemetry data monitoring by dimensionality reduction techniques

AU - Yairi, Takehisa

AU - Inui, Minoru

AU - Yoshiki, Akihiro

AU - Kawahara, Yoshinobu

AU - Takata, Noboru

PY - 2010

Y1 - 2010

N2 - In this paper, we consider a "data-driven" anomaly detection framework for spacecraft systems using dimensionality reduction and reconstruction techniques. This method first learns a mapping from the original data space to a low dimensional space and its reverse mapping by applying linear or non-linear dimensionality reduction algorithms to a normal training data set. After the training, it applies the learned pair of mappings to a test data set to obtain a reconstructed data set, and then evaluate the reconstruction errors. We will show the results of applying several representative linear and non-lineardimensionality reduction algorithms with this framework to the electrical power subsystem (EPS) data of actual artificial satellites.

AB - In this paper, we consider a "data-driven" anomaly detection framework for spacecraft systems using dimensionality reduction and reconstruction techniques. This method first learns a mapping from the original data space to a low dimensional space and its reverse mapping by applying linear or non-linear dimensionality reduction algorithms to a normal training data set. After the training, it applies the learned pair of mappings to a test data set to obtain a reconstructed data set, and then evaluate the reconstruction errors. We will show the results of applying several representative linear and non-lineardimensionality reduction algorithms with this framework to the electrical power subsystem (EPS) data of actual artificial satellites.

UR - http://www.scopus.com/inward/record.url?scp=78649305969&partnerID=8YFLogxK

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M3 - Conference contribution

AN - SCOPUS:78649305969

SN - 9784907764364

T3 - Proceedings of the SICE Annual Conference

SP - 1230

EP - 1234

BT - Proceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers

PB - Society of Instrument and Control Engineers (SICE)

ER -