Search Results - "Newhart, Kathryn B."
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1
Produced water treatment using forward osmosis membranes: Evaluation of extended-time performance and fouling
Published in Journal of membrane science (01-03-2017)Get full text
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Data-driven performance analyses of wastewater treatment plants: A review
Published in Water research (Oxford) (15-06-2019)“…Recent advancements in data-driven process control and performance analysis could provide the wastewater treatment industry with an opportunity to reduce costs…”
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Fault isolation for a complex decentralized waste water treatment facility
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01-08-2020)“…Summary Decentralized waste water treatment facilities monitor many features that are complexly related. The ability to detect the onset of a fault and to…”
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A Holistic Evaluation of Multivariate Statistical Process Monitoring in a Biological and Membrane Treatment System
Published in ACS ES&T water (08-03-2024)“…Unsupervised process monitoring for fault detection and data cleaning is underdeveloped for municipal wastewater treatment plants (WWTPs) due to the complexity…”
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Prediction of Peracetic Acid Disinfection Performance for Secondary Municipal Wastewater Treatment Using Artificial Neural Networks
Published in ACS ES&T water (12-02-2021)“…Disinfection is one of the most critical processes for municipal wastewater treatment. However, traditional chemical dosing approaches do not consider how…”
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Long-Term Statistical Process Monitoring of an Ultrafiltration Water Treatment Process
Published in ACS ES&T engineering (31-05-2024)“…As water treatment technology has improved, the amount of available process data has substantially increased, making real-time, data-driven fault detection a…”
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Multistate multivariate statistical process control
Published in Applied stochastic models in business and industry (01-11-2018)“…For high‐dimensional, autocorrelated, nonlinear, and nonstationary data, adaptive‐dynamic principal component analysis (AD‐PCA) has been shown to do as well or…”
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Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control
Published in Journal of water process engineering (01-10-2020)“…•Control strategy stability can be quantified by Total Sample Variance•Ammonia-based aeration control is more stable than conventional aeration control•Ammonia…”
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Case studies in real-time fault isolation in a decentralized wastewater treatment facility
Published in Journal of water process engineering (01-12-2020)“…•Real-time data-driven monitoring schemes are vital in wastewater treatment (WWT).•Our integrated fault detection/isolation method is designed for complex…”
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Data-Driven Process Monitoring and Control in Municipal Wastewater Treatment
Published 01-01-2020“…The American Society of Civil Engineers estimates that by 2040, water and wastewater infrastructure (e.g., treatment facilities, conveyance systems) in the…”
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Dissertation