A deep learning model for process fault prognosis

Fault prediction of bearings based on LSTM and statistical process analysis

(2021) Junqiang Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An optimized long short-term memory network based fault diagnosis model for chemical processes

(2020) Yongming Han et al.   JOURNAL OF PROCESS CONTROL

An analysis of process fault diagnosis methods from safety perspectives

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

Process Fault Prognosis Using Hidden Markov Model–Bayesian Networks Hybrid Model

(2019) Mihiran Galagedarage Don et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

Data-driven approach augmented in simulation for robust fault prognosis

(2019) M.A. Djeziri et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network

(2019) Pangun Park et al.   SENSORS

Fault detection and diagnosis in process system using artificial intelligence-based cognitive technique

(2019) Rajeevan Arunthavanathan et al.   COMPUTERS & CHEMICAL ENGINEERING

An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

(2019) Tangbin Xia et al.   COMPUTERS IN INDUSTRY

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Sequential Fault Diagnosis Based on LSTM Neural Network

(2018) Haitao Zhao et al.   IEEE Access

Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks

(2018)   IEEE Transactions on Industrial Informatics

A nonlinear support vector machine-based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process

(2018) Melis Onel et al.   AICHE JOURNAL

Speech emotion recognition using deep 1D & 2D CNN LSTM networks

(2018) Jianfeng Zhao et al.   Biomedical Signal Processing and Control

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

(2017) Kamran Javed et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

(2015) Zhiwei Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault detection and diagnosis in process data using one-class support vector machines

(2009) Sankar Mahadevan et al.   JOURNAL OF PROCESS CONTROL