Design of sensor and actuator multi model fault detection and isolation system using state space neural networks

12th European Workshop on Advanced Control and Diagnosis

Czajkowski, Andrzej^1

Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, Zielona Góra

65-246, Poland^1

关键词: Diagnostic systems;    Fault detection and isolation;    Fault isolation;    MATLAB/Simulink environment;    Neural network model;    Residual signals;    Sensor and actuators;    Thresholding methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/659/1/012034/pdf
DOI  :  10.1088/1742-6596/659/1/012034

来源: IOP

【 摘 要 】

This paper deals with the application of state space neural network model to design a Fault Detection and Isolation diagnostic system. The work describes approach based on multimodel solution where the SIMO process is decomposed into simple models (SISO and MISO). With such models it is possible to generate different residual signals which later can be evaluated with simple thresholding method into diagnostic signals. Further, such diagnostic signals with the application of Binary Diagnostic Table (BDT) can be used to fault isolation. All data used in experiments is obtain from the simulator of the real-time laboratory stand of Modular Servo under Matlab/Simulink environment.