A subspace based fault diagnose method and its application on mechatronics systems

Author

Zuolong Wei ; Shen Yin ; Karimi, Hamid Reza

Author_Institution

Dept. of Eng., Univ. of Agder, Grimstad, Norway

fYear

2014

fDate

1-4 June 2014

Firstpage

2410

Lastpage

2415

Abstract

The mechatronics systems are widely used in modern society. This paper presents a novel data-driven scheme which can be used for fault diagnose of mechatronics systems. The proposed method is based on the subspace identification of parity vector. By constructing the output observer, critical variables can be acquired by soft sensors. This makes the fault diagnoses free from the limitation of online measurement. A diagnose observer is designed directly from the parity vector. Finally, the proposed scheme is tested by the Simulink benchmark of vehicle suspension and shows its good performance.

Keywords

fault diagnosis; maintenance engineering; mechatronics; observers; suspensions (mechanical components); vectors; Simulink benchmark; critical variable acquisition; data-driven scheme; diagnose observer; mechatronics systems; output observer; parity vector; soft sensors; subspace based fault diagnosis method; subspace identification; vehicle suspension; Mathematical model; Mechatronics; Observers; Sensors; Suspensions; Vectors; Vehicles; fault diagnose; parity vector; subspace identification mechatronics system;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on

Conference_Location

Istanbul

Type

conf

DOI

10.1109/ISIE.2014.6864997

Filename

6864997