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    An Intelligent Soft Sensor for Detecting Ammonia in a NanoFeCu Catalysed Sewage Treatment

    Access Status
    Fulltext not available
    Embargo Lift Date
    2026-04-08
    Authors
    Ngu, Joyce Chen Yen
    Date
    2023
    Supervisor
    Christine Yeo
    Jobrun Nandong
    Type
    Thesis
    Award
    MPhil
    
    Metadata
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    Faculty
    Curtin Malaysia
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/94977
    Collection
    • Curtin Theses
    Abstract

    A novel intelligent soft sensor, PCA-DA-E-LSSVR, was developed for nanoFeCu catalysed ammonia removal process in wastewater treatment. It accurately predicted ammonia concentration using process variables. Comparative analysis showed superior predictive accuracy over commonly used models, such as ANN and SVR. The PCA-DA-E-LSSVR model, with coefficients of determination exceeding 0.7, outperformed in flow rate and nanoparticle regeneration parameter studies. This model also exhibited its efficacy in online ammonia concentration estimation and adaptability to online conditions.

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