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- W4296911034 abstract "A wastewater treatment plant is a large-scale nonlinear process consisting of a series of biological reactors and a settler. In this work, we address the problem of optimal sensor placement for state estimation of wastewater treatment plants. An observability-based approach is proposed to determine the minimum number of sensors and their optimal locations. The local sensitivity matrix of the measured outputs to initial states is considered as a measure for the observability. The minimum number of sensors is determined in a way that the local sensitivity matrix is full column rank. The subset of sensors that satisfies the rank condition and provides the maximum degree of observability is considered as the optimal sensor placement. Successive orthogonalization of the sensitivity matrix is used in the proposed approach to significantly reduce the computational cost needed for optimally placing sensors. To validate the proposed method, we compare the state estimation results obtained based on the selected minimum number of sensors and another three randomly selected sensor sets of the same size." @default.
- W4296911034 created "2022-09-24" @default.
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- W4296911034 date "2022-08-07" @default.
- W4296911034 modified "2023-10-18" @default.
- W4296911034 title "Sensor placement for wastewater treatment plants: a computationally efficient algorithm" @default.
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- W4296911034 doi "https://doi.org/10.1109/adconip55568.2022.9894156" @default.
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