Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.776799
