Artificial neural networks for water quality soft-sensing in wastewater treatment: a review
Sign Up to like & getrecommendations! Published in 2021 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-10038-8
Abstract: This paper aims to present a comprehensive survey on water quality soft-sensing of a wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We mainly present problem formulation of water quality soft-sensing, common soft-sensing… read more here.
Keywords: soft sensing; quality soft; network; water quality ... See more keywords
Improving Featured-based Soft Sensing through Feature Selection
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.542
Abstract: Abstract Driven by the expanding applications of spectroscopic technologies, many advancements have been reported for soft sensor modeling, which infers a sample’s properties from its spectroscopic readings. Because the number of wavelengths contained in a… read more here.
Keywords: feature based; based soft; soft sensing; soft sensor ... See more keywords
Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Hydro-environment Research"
DOI: 10.1016/j.jher.2021.01.006
Abstract: Abstract Information and communication technologies combined with in-situ sensors are increasingly being used in the management of urban drainage systems. The large amount of data collected in these systems can be used to train a… read more here.
Keywords: water depth; water; neural networks; soft sensing ... See more keywords
Neural Network Based on Windowed Convolutional Transformation to Extract Features in Time Domain and Its Application on Soft Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3180405
Abstract: In soft sensing, quality indicators are predicted by the signals of the discrete process variables in the time domain, in which the time delay exists in the process variables and quality indicators. Traditionally, discrete variables… read more here.
Keywords: time; convolutional transformation; quality indicators; windowed convolutional ... See more keywords
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3194863
Abstract: Machine learning techniques have been successfully utilized as effective soft sensing for industrial processes. Unfortunately, as modern industrial processes become increasingly complex in the terms of scale and integration, the collected process data become more… read more here.
Keywords: novel stacked; autoencoder; unit; soft sensing ... See more keywords
A soft-sensing method for product quality monitoring based on particle swarm optimization deep belief networks
Sign Up to like & getrecommendations! Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221093166
Abstract: A novel soft-sensing method for quality parameters of aviation kerosene in atmospheric distillation column based on least absolute shrinkage and selection operator and particle swarm optimization deep belief network (LASSO-PSO-DBN) is proposed. First, to reduce… read more here.
Keywords: quality; swarm optimization; particle swarm; soft sensing ... See more keywords