Optimized Sensor Network Design for Process Monitoring based on Independent Component Analysis
نویسنده
چکیده
In this paper, a new sensor network design methodology has been proposed to improve the performance of ICA-based process monitoring approaches. Design procedure incorporates sensor cost, fault detectability and fault detection rate in the design formulation. The design problem has been transformed into an optimization problem. A genetic algorithm (GA) solver has been employed to yield optimal sensor locations for improved process monitoring. The proposed design methodology is evaluated on the Tennessee Eastman (TE) challenge benchmark problem. The simulation results demonstrate the effectiveness of the design procedure to enhance the process monitoring tasks with the less number of sensors for ICA approach.
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