A multiphase information fusion strategy for data-driven quality prediction of industrial batch processes

A channel-spatial-temporal attention-based network for vibration-based damage detection

(2022) Shiyun Liao et al.   INFORMATION SCIENCES

An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference

(2021) Yanning Sun et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A hybrid multi-class imbalanced learning method for predicting the quality level of diesel engines

(2021) Wei Qin et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process

(2021) Chenliang Liu et al.   INFORMATION SCIENCES

A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes

(2021) Ling Li et al.   INFORMATION SCIENCES

Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network

(2021) Xiongtao Shi et al.   INFORMATION SCIENCES

Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system

(2020) Junliang Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Input selection methods for data-driven Soft Sensors design: application to an industrial process

(2020) Francesco Curreri et al.   INFORMATION SCIENCES

Multi-objective prediction intervals for wind power forecast based on deep neural networks

(2020) Min Zhou et al.   INFORMATION SCIENCES

A Wide-Deep-Sequence Model-Based Quality Prediction Method in Industrial Process Analysis

(2020) Lei Ren et al.   IEEE Transactions on Neural Networks and Learning Systems

Distributed-ensemble stacked autoencoder model for non-linear process monitoring

(2020) Zhichao Li et al.   INFORMATION SCIENCES

A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

(2020) Kun Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Learning quality characteristics for plastic injection molding processes using a combination of simulated and measured data

(2020) Felix Finkeldey et al.   Journal of Manufacturing Processes

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models

(2019) Edwin Lughofer et al.   JOURNAL OF PROCESS CONTROL

A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem

(2019) Gustavo Sosa-Cabrera et al.   INFORMATION SCIENCES

Deep relevant representation learning for soft sensing

(2019) Xuefeng Yan et al.   INFORMATION SCIENCES

A reinforcement learning decision model for online process parameters optimization from offline data in injection molding

(2019) Fei Guo et al.   APPLIED SOFT COMPUTING

Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares

(2019) Qingchao Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Neural Networks and Learning Systems

An intelligent non-optimality self-recovery method based on reinforcement learning with small data in big data era

(2018) Yan Qin et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting

(2018) Federico Divina et al.   Energies

A stacking ensemble learning framework for annual river ice breakup dates

(2018) Wei Sun et al.   JOURNAL OF HYDROLOGY

Using regression models for predicting the product quality in a tubing extrusion process

(2018) Vicente García et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Random forest regression for online capacity estimation of lithium-ion batteries

(2018) Yi Li et al.   APPLIED ENERGY

Correlation analysis among audible sound emissions and machining parameters in hardened steel turning

(2017) Edielson P. Frigieri et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Monitoring and dynamic control of quality stability for injection molding process

(2017) Xundao Zhou et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Mechanical assembly quality prediction method based on state space model

(2015) Jian Mao et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Modeling and monitoring of multimode transition process based on reconstruction

(2014) Yingwei Zhang et al.   INFORMATION SCIENCES

An efficient algorithm for the computation of average mutual information: Validation and implementation in Matlab

(2014) Robin D. Thomas et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Multiway elastic net (MEN) for final product quality prediction and quality-related analysis of batch processes

(2013) Chih-Chiun Chiu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

ARMAX model based run-to-run fault diagnosis approach for batch manufacturing process with metrology delay

(2013) Yan Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Robust Data-Driven Modeling Approach for Real-Time Final Product Quality Prediction in Batch Process Operation

(2011) David Wang   IEEE Transactions on Industrial Informatics

Improved calibration investigation using phase-wise local and cumulative quality interpretation and prediction

(2008) Chunhui Zhao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Designing a multivariate–multistage quality control system using artificial neural networks

(2008) Seyed Taghi Akhavan Niaki et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH