A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification

Cooperative search for dynamic targets by multiple UAVs with communication data losses

(2021) Lili Li et al.   ISA TRANSACTIONS

A data-driven Bayesian network learning method for process fault diagnosis

(2021) Md. Tanjin Amin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Process topology convolutional network model for chemical process fault diagnosis

(2021) Deyang Wu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring

(2021) Bing Xiao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A novel data‐driven methodology for fault detection and dynamic risk assessment

(2020) Md. Tanjin Amin et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis

(2020) Shaodong Zheng et al.   COMPUTERS & CHEMICAL ENGINEERING

Attention-Based Recurrent Neural Network for Multistep-Ahead Prediction of Process Performance

(2020) Majid Moradi Aliabadi et al.   COMPUTERS & CHEMICAL ENGINEERING

Fault detection and diagnosis based on transfer learning for multimode chemical processes

(2020) Hao Wu et al.   COMPUTERS & CHEMICAL ENGINEERING

Smoothed LSTM-AE: A Spatio-Temporal Deep Model for Multiple Time-Series Missing Imputation

(2020) Dong Li et al.   NEUROCOMPUTING

An analysis of process fault diagnosis methods from safety perspectives

(2020) Rajeevan Arunthavanathan et al.   COMPUTERS & CHEMICAL ENGINEERING

Machine learning and data mining in manufacturing

(2020) Alican Dogan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm

(2020) Qishuai Yin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A condition monitoring based signal filtering approach for dynamic time dependent safety assessment of natural gas distribution process

(2019) Ahmad BahooToroody et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Gaussian feature learning based on variational autoencoder for improving nonlinear process monitoring

(2019) Zehan Zhang et al.   JOURNAL OF PROCESS CONTROL

Process monitoring using variational autoencoder for high-dimensional nonlinear processes

(2019) Seulki Lee et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Online reduced kernel PLS combined with GLRT for fault detection in chemical systems

(2019) R. Fazai et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A novel process monitoring approach based on variational recurrent autoencoder

(2019) Feifan Cheng et al.   COMPUTERS & CHEMICAL ENGINEERING

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis

(2019) Huan Wang et al.   IEEE Transactions on Industrial Informatics

Process system fault detection and diagnosis using a hybrid technique

(2018) Md. Tanjin Amin et al.   CHEMICAL ENGINEERING SCIENCE

Deep convolutional neural network model based chemical process fault diagnosis

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

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

(2018) Xiaogang Deng et al.   IEEE Transactions on Neural Networks and Learning Systems

Visual interpretability for deep learning: a survey

(2018) Quan-shi Zhang et al.   Frontiers of Information Technology & Electronic Engineering

Deep Learning Approach Combining Sparse Autoen-coder with SVM for Network Intrusion Detection

(2018) Majjed Al-Qatf et al.   IEEE Access

Improved data-based fault detection strategy and application to distillation columns

(2017) Muddu Madakyaru et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Abnormal situation management: Challenges and opportunities in the big data era

(2016) Yidan Shu et al.   COMPUTERS & CHEMICAL ENGINEERING

Improved fault detection and diagnosis using sparse global-local preserving projections

(2016) Shiyi Bao et al.   JOURNAL OF PROCESS CONTROL

Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective

(2016) Maria Weese et al.   JOURNAL OF QUALITY TECHNOLOGY

Fault propagation behavior study and root cause reasoning with dynamic Bayesian network based framework

(2015) Jinqiu Hu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Methods and models in process safety and risk management: Past, present and future

(2015) Faisal Khan et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

Review of Recent Research on Data-Based Process Monitoring

(2013) Zhiqiang Ge et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models

(2008) Jie Yu et al.   AICHE JOURNAL

Classification of multivariate time series using two-dimensional singular value decomposition

(2008) Xiaoqing Weng et al.   KNOWLEDGE-BASED SYSTEMS

A continuous stirred tank heater simulation model with applications

(2007) Nina F. Thornhill et al.   JOURNAL OF PROCESS CONTROL