A new method for sensor fault detection, isolation and accommodation

Author

Liu, Yong ; Shen, Yi ; Hu, Hengzhang

Author_Institution

Dept. of Control. Sci., Harbin Inst. of Technol., China

Volume

1

fYear

1999

fDate

1999

Firstpage

488

Abstract

In this paper a framework for an intelligent sensor with real-time diagnosis and rectification is proposed. It is based on the combination of recurrent neural networks and the information fusion technique. The architecture is constructed to perform sensor detection, isolation and accommodation, along with description of recurrent neural networks and multisensory information fusion. Simulation results show good performance on the application to some type airplane

Keywords

aircraft instrumentation; computerised instrumentation; digital simulation; fault diagnosis; intelligent sensors; neural net architecture; recurrent neural nets; redundancy; sensor fusion; accommodation; airplane; information fusion; isolation; multisensory information fusion; real-time diagnosis; rectification; recurrent neural networks; sensor detection; sensor fault detection; simulation results; Acoustic sensors; Airplanes; Fault detection; Fault diagnosis; Intelligent sensors; Isolation technology; Neural networks; Recurrent neural networks; Sensor phenomena and characterization; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE

Conference_Location

Venice

ISSN

1091-5281

Print_ISBN

0-7803-5276-9

Type

conf

DOI

10.1109/IMTC.1999.776799

Filename

776799