Analytical methods for online data quality assessment
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A3 Kirjan tai muun kokoomateoksen osa
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Date
2024-06-15
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en
Pages
78
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Abstract
This chapter provides a comprehensive overview of the main steps for algorithmic sensor signal quality assessment, which can enhance the decision-making process for water resource recovery facility (WRRF) operation and optimization. It introduces the concept of redundancy as the basis for data quality assessment. It also explains the typical data processing pipeline, which consists of preliminary analysis, data pre-processing, and specific algorithmic approaches. Each of these processes is presented and discussed in three separate sections. Importantly, this chapter introduces the main approaches for data quality assessment, provides guidelines for selecting the most suitable one and the key performance indicators to evaluate them and explains how to collect metadata through such an algorithmic approach.Description
Publisher Copyright: © 2024 IWAP. All rights reserved.
Keywords
Data processing, Data visualization, Data-driven methods, Mechanistic methods, Quality assessment, Redundancy
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Citation
Aguado, D, Alferes, J, Arteaga, F, Belia, L, Copp, J B, Corominas, L, Corona, F, Ferrer, A, Haimi, H, Kazemi, P, Le, Q H, Miletic, I, Mulas, M, Robles, A, Ruano, M V, Russo, S, Samuelsson, O, Steyer, J P, Villez, K, Volcke, E I P, Wade, M J & Zambrano, J 2024, Analytical methods for online data quality assessment . in K Villez, D Aguado, J Alferes, Q Plana, M V Ruano & O Samuelsson (eds), Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems . IWA Publishing, pp. 163-240 . https://doi.org/10.2166/9781789061154_0163