Improved Approach to KDI-Based Fault Detection for Non-linear Black-box Systems

Kousuke Kumamaru; Katsuhiro Inoue; Tomomi Iwamura

doi:10.11499/sicep.2004.0_6_2

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_6_2

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Improved Approach to KDI-Based Fault Detection for Non-linear Black-box Systems

*Kousuke Kumamaru, Katsuhiro Inoue, Tomomi Iwamura

Author information

Keywords: Fault Diagnosis, Non-linear System, Parameter Estimation

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 6

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Abstract

This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the nonlinear system, Quasi-ARMAX model with multi-model form is used and Kullback discrimination Information (KDI) is introduced as fault detection index. Some schemes to improve the fault detection performance are proposed together with simulation results for various fault modes.

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