Membrane fouling diagnosis of membrane components based on multi-feature information fusion

Insights on fouling development and characteristics during different fouling stages between a novel vibrating MBR and an air-sparging MBR for domestic wastewater treatment

(2022) Chuansheng Wang et al.   WATER RESEARCH

A new attention-based CNN approach for crop mapping using time series Sentinel-2 images

(2021) Yumiao Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improved YOLOv4 Marine Target Detection Combined with CBAM

(2021) Huixuan Fu et al.   Symmetry-Basel

Wastewater treatment and fouling control in an electro algae-activated sludge membrane bioreactor

(2021) Mary Vermi Aizza Corpuz et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Analog Circuit Soft Fault Diagnosis Method Based on Convolutional Neural Network and Backward Difference

(2021) Chenggong Zhang et al.   Symmetry-Basel

Recent Advances in the Prediction of Fouling in Membrane Bioreactors

(2021) Yaoke Shi et al.   Membranes

Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders

(2021) Abdulrahman H. Ba-Alawi et al.   CHEMOSPHERE

Data-knowledge-driven distributed monitoring for large-scale processes based on digraph

(2021) Weiqiang Wu et al.   JOURNAL OF PROCESS CONTROL

Intelligent fault diagnosis of rolling bearings under imbalanced data conditions using attention-based deep learning method

(2021) Jun Li et al.   MEASUREMENT

Fault Detection with Data Imbalance Conditions Based on the Improved Bilayer Convolutional Neural Network

(2020) Jing Wang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

(2020) Yu-Dong Zhang et al.   INFORMATION PROCESSING & MANAGEMENT

Sub-period division strategies combined with multiway principle component analysis for fault diagnosis on sequence batch reactor of wastewater treatment process in paper mill

(2020) Jing Zhou et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process

(2020) Chang Peng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Enhanced operation of wastewater treatment plant using state estimation-based fault detection strategies

(2019) Imen Baklouti et al.   INTERNATIONAL JOURNAL OF CONTROL

A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant

(2019) Bei Wang et al.   APPLIED SOFT COMPUTING

A novel fault identification and root-causality analysis of incipient faults with applications to wastewater treatment processes

(2019) Hongchao Cheng et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fault detection of sludge bulking using a self-organizing type-2 fuzzy-neural-network

(2019) Hong-Gui Han et al.   CONTROL ENGINEERING PRACTICE

Deep convolutional neural network model based chemical process fault diagnosis

(2018) Hao Wu et al.   COMPUTERS & CHEMICAL ENGINEERING

Regression on dynamic PLS structures for supervised learning of dynamic data

(2018) Yining Dong et al.   JOURNAL OF PROCESS CONTROL

A novel approach for analog circuit fault diagnosis based on Deep Belief Network

(2018) Guangquan Zhao et al.   MEASUREMENT

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

Analog Circuit Incipient Fault Diagnosis Method Using DBN Based Features Extraction

(2018) Chaolong Zhang et al.   IEEE Access

A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors

(2018) Dingfei Guo et al.   NEUROCOMPUTING

Fault Detection in Wastewater Treatment Systems Using Multiparametric Programming

(2018) Ernie Che Mid et al.   Processes

Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning

(2017) Zhenbao Liu et al.   IEEE Transactions on Industrial Informatics

Model-Based Parameter Estimation for Fault Detection Using Multiparametric Programming

(2017) Ernie Che Mid et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Pre-processing of imbalanced samples and the effective contribution in fault diagnosis in wastewater treatment plants

(2017) Y. G. Xu et al.   JOURNAL OF HYDROINFORMATICS

Nonlinear sensor fault diagnosis using mixture of probabilistic PCA models

(2017) Reza Sharifi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Design of experiments and statistical process control using wavelets analysis

(2016) Achraf Cohen et al.   CONTROL ENGINEERING PRACTICE

DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking

(2016) Hanxi Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A New Approach to Multiple Soft Fault Diagnosis of Analog BJT and CMOS Circuits

(2015) Michal Tadeusiewicz et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A particle filter driven dynamic Gaussian mixture model approach for complex process monitoring and fault diagnosis

(2012) Jie Yu   JOURNAL OF PROCESS CONTROL

Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations

(2012) Richard Hardstone et al.   Frontiers in Physiology

Simulation of ammonia removal from industrial wastewater streams by means of a hollow-fiber membrane contactor

(2011) Mashallah Rezakazemi et al.   DESALINATION

Acoustic Modeling Using Deep Belief Networks

(2011) Abdel-rahman Mohamed et al.   IEEE Transactions on Audio Speech and Language Processing