Fault detection and isolation using probabilistic wavelet neural operator auto-encoder with application to dynamic processes

Autonomous Fault Diagnosis and Root Cause Analysis for the Processing System Using One-Class SVM and NN Permutation Algorithm

(2022) Rajeevan Arunthavanathan et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A deep learning based surrogate model for stochastic simulators

(2022) Akshay Thakur et al.   PROBABILISTIC ENGINEERING MECHANICS

Dynamic slow feature analysis and random forest for subway indoor air quality modeling

(2022) Kai Zhang et al.   BUILDING AND ENVIRONMENT

A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data

(2022) Lu Lu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Gas leakage detection using spatial and temporal neural network model

(2022) Alibek Kopbayev et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

XFDDC: eXplainable Fault Detection Diagnosis and Correction framework for chemical process systems

(2022) R. Rajesh Alias Harinarayan et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Wavelet Neural Operator for solving parametric partial differential equations in computational mechanics problems

(2022) Tapas Tripura et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Fault detection of pressurized heavy water nuclear reactors with steady state and dynamic characteristics using data-driven techniques

(2022) Jyoti Rani et al.   PROGRESS IN NUCLEAR ENERGY

Thermographic Fault Diagnosis of Shaft of BLDC Motor

(2022) Adam Glowacz   SENSORS

Nonlinear Dynamic Process Monitoring Using Canonical Variate Kernel Analysis

(2022) Simin Li et al.   Processes

Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring

(2021) Shivendra Singh et al.   NEURAL PROCESSING LETTERS

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

(2021) Omar AlShorman et al.   Advances in Mechanical Engineering

Rebooting kernel CCA method for nonlinear quality-relevant fault detection in process industries

(2021) Hongchao Cheng et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

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

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

Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula

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

A new deep model based on the stacked autoencoder with intensified iterative learning style for industrial fault detection

(2021) Jianbo Yu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A deep learning model for process fault prognosis

(2021) Rajeevan Arunthavanathan et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

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

(2021) Xiaotian Bi et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Fault monitoring using novel adaptive kernel principal component analysis integrating grey relational analysis

(2021) Yongming Han et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Thermographic Fault Diagnosis of Ventilation in BLDC Motors

(2021) Adam Glowacz   SENSORS

Data-driven Bayesian network model for early kick detection in industrial drilling process

(2020) Dinh Minh Nhat et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network

(2020) Augustine Osarogiagbon et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Multistep Dynamic Slow Feature Analysis for Industrial Process Monitoring

(2020) Xin Ma et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis

(2020) Ping Wu et al.   IEEE Transactions on Industrial Informatics

Hierarchically Distributed Monitoring for the Early Prediction of Gas Flare Events

(2019) Mengqi Fang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

First order eigen perturbation techniques for real time damage detection of vibrating systems: Theory and applications

(2019) Basuraj Bhowmik et al.   Applied Mechanics Reviews

Process monitoring using variational autoencoder for high-dimensional nonlinear processes

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

Real-time damage detection of degrading systems

(2019) Tapas Tripura et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Robust linear and nonlinear structural damage detection using recursive canonical correlation analysis

(2019) B. Bhowmik et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields

(2019) Mengqi Fang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Process monitoring using a generalized probabilistic linear latent variable model

(2018) Rahul Raveendran et al.   AUTOMATICA

A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data

(2018) Mengqi Fang et al.   COMPUTERS & CHEMICAL ENGINEERING

Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring

(2018) Hariprasad Kodamana et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule

(2018) Zehan Zhang et al.   JOURNAL OF PROCESS CONTROL

Dynamic failure analysis of process systems using neural networks

(2017) Sunday A. Adedigba et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

(2016) Khaoula Tidriri et al.   ANNUAL REVIEWS IN CONTROL

A Bayesian approach to multiscale inverse problems with on-the-fly scale determination

(2016) Louis Ellam et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Slow feature analysis for monitoring and diagnosis of control performance

(2016) Chao Shang et al.   JOURNAL OF PROCESS CONTROL

Recognition of armature current of DC generator depending on rotor speed using FFT, MSAF-1 and LDA

(2015) Adam Glowacz et al.   Eksploatacja i Niezawodnosc-Maintenance and Reliability

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

(2014) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Defining the structure of DPCA models and its impact on process monitoring and prediction activities

(2013) Tiago J. Rato et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application

(2013) Kaixiang Peng et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A new fault detection method for non-Gaussian process based on robust independent component analysis

(2013) Lianfang Cai et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection

(2012) Jie Liu   MEASUREMENT SCIENCE and TECHNOLOGY