Fault detection of the boiler unit using state space neural networks

This paper deals with the application of state space neural network models to fault detection of the boiler unit. The work describes problems such us selecting the proper threshold for compromising both fault sensitivity and early fault detection, designing proper neural network structure or calculating performance indexes. All the simulation data used in experiments are collected from the simulator of the boiler unit implemented in Matlab/Simulink.

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