Prediction of membrane fouling using artificial neural networks for wastewater treated by membrane bioreactor technologies: bottlenecks and possibilities

F Schmitt, KU Do - Environmental Science and Pollution Research, 2017 - Springer
Membrane fouling is a major concern for the optimization of membrane bioreactor (MBR)
technologies. Numerous studies have been led in the field of membrane fouling control in …

Existing filtration treatment on drinking water process and concerns issues

MC Razali, NA Wahab, N Sunar, NH Shamsudin - Membranes, 2023 - mdpi.com
Water is one of the main sources of life's survival. It is mandatory to have good-quality water,
especially for drinking. Many types of available filtration treatment can produce high-quality …

Data-driven decision-making for wastewater treatment process

HG Han, HJ Zhang, Z Liu, JF Qiao - Control Engineering Practice, 2020 - Elsevier
Membrane fouling has become a serious issue for the safe operation of wastewater
treatment process (WWTP). To deal with this problem, this paper proposes a data-driven …

[HTML][HTML] Neural network modelling and prediction of an Anaerobic Filter Membrane Bioreactor

JM Cámara, V Diez, C Ramos - Engineering Applications of Artificial …, 2023 - Elsevier
Anaerobic membrane bioreactors have become an environmentally friendly solution for
wastewater treatment. The lack of sufficiently accurate mathematical procedures to model …

Efficient surrogate model development: optimum model form based on input function characteristics

SE Davis, S Cremaschi, MR Eden - Computer Aided Chemical Engineering, 2017 - Elsevier
Surrogate models statistically relate input data to output data, which are collected by running
the complicated system simulation. This study focuses on the identification of the proper …

Automating process design by coupling genetic algorithms with commercial simulators: a case study for hybrid MABR processes

C Yang, E Belia, GT Daigger - Water Science & Technology, 2022 - iwaponline.com
The development of commercial software and simulators has progressed to assist engineers
to optimize design, operation, and control of wastewater treatment processes. Commonly …

[HTML][HTML] Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich …

M Kumar, R Saraf, SK Behera, R Das, M Aliveli… - Case Studies in …, 2024 - Elsevier
The performance of a packed bed reactor (PBR) containing immobilized sulphate reducing
bacteria for sulphate removal from wastewater, utilizing carbon monoxide (CO) as the sole …

Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network

XL Wu, HG Han, HJ Zhang, JF Qiao - International Journal of Fuzzy …, 2022 - Springer
The warning of membrane fouling is of great important to maintain the stable operation of
membrane bioreactor (MBR). However, traditional methods are so error-prone that probably …

An intelligent detecting system for permeability prediction of MBR

H Han, S Zhang, J Qiao, X Wang - Water Science and Technology, 2018 - iwaponline.com
The membrane bioreactor (MBR) has been widely used to purify wastewater in wastewater
treatment plants. However, a critical difficulty of the MBR is membrane fouling. To reduce …

Forecasting multicycle hollow fiber ultrafiltration fouling using time series analysis

G Dagher, A Martin, JM Galharret, L Moulin… - Journal of Water …, 2023 - Elsevier
This study proposes the application of time series analysis and exponential smoothing (ETS)
to predict multicycle membrane fouling with high accuracy and great interpretability. First, lab …