Search Results - "Newhart, Kathryn B."

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    Data-driven performance analyses of wastewater treatment plants: A review by Newhart, Kathryn B., Holloway, Ryan W., Hering, Amanda S., Cath, Tzahi Y.

    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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    Journal Article
  3. 3

    Fault isolation for a complex decentralized waste water treatment facility by Klanderman, Molly C., Newhart, Kathryn B., Cath, Tzahi Y., Hering, Amanda S.

    “…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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    Journal Article
  4. 4

    A Holistic Evaluation of Multivariate Statistical Process Monitoring in a Biological and Membrane Treatment System by Newhart, Kathryn B., Klanderman, Molly C., Hering, Amanda S., Cath, Tzahi Y.

    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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    Journal Article
  5. 5

    Prediction of Peracetic Acid Disinfection Performance for Secondary Municipal Wastewater Treatment Using Artificial Neural Networks by Newhart, Kathryn B, Goldman-Torres, Joshua E, Freedman, Daniel E, Wisdom, K. Blair, Hering, Amanda S, Cath, Tzahi Y

    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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    Journal Article
  6. 6

    Long-Term Statistical Process Monitoring of an Ultrafiltration Water Treatment Process by Grimm, Taylor R., Branch, Amos, Thompson, Kyle A., Salveson, Andrew, Zhao, John, Johnson, Darrell, Hering, Amanda S., Newhart, Kathryn B.

    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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    Journal Article
  7. 7

    Multistate multivariate statistical process control by Odom, Gabriel J., Newhart, Kathryn B., Cath, Tzahi Y., Hering, Amanda S.

    “…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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    Journal Article
  8. 8

    Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control by Newhart, Kathryn B., Marks, Christopher A., Rauch-Williams, Tanja, Cath, Tzahi Y., Hering, Amanda S.

    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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    Journal Article
  9. 9

    Case studies in real-time fault isolation in a decentralized wastewater treatment facility by Klanderman, Molly C., Newhart, Kathryn B., Cath, Tzahi Y., Hering, Amanda S.

    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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    Journal Article
  10. 10

    Data-Driven Process Monitoring and Control in Municipal Wastewater Treatment by Newhart, Kathryn B

    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