An Intelligent Soft Sensor for Detecting Ammonia in a NanoFeCu Catalysed Sewage Treatment
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Fulltext not available
Embargo Lift Date
2026-04-08
Authors
Ngu, Joyce Chen Yen
Date
2023Supervisor
Christine Yeo
Jobrun Nandong
Type
Thesis
Award
MPhil
Metadata
Show full item recordFaculty
Curtin Malaysia
School
Curtin Malaysia
Collection
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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