This paper describes analytical modeling of degradation of water treatment plants (WTP) during their extended operation; it also describes the algorithms for configuring such models on the basis of current WTP status readings so as to predict when the WTP deteriorates to the point it is no longer usable (time to failure).
Model selection is based on analyzing and generalizing a bulk of experimental data on various WTPs. Configuration algorithms are model-agnostic, which means the proposed approach can be used universally to improve water treatment quality while also cutting its costs.
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