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An improved plant‐wide fault detection scheme based on PCA and adaptive threshold for reliable process monitoring: Application on the new revised model of Tennessee Eastman process

Journal of chemometrics, 2018-05, Vol.32 (5), p.n/a

2018

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Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems

IEEE journal of photovoltaics, 2020-11, Vol.10 (6), p.1864-1871

2020

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Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection

Transactions of the Institute of Measurement and Control, 2020-04, Vol.42 (6), p.1225-1238

2020

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A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation

IEEE sensors journal, 2020-09, Vol.20 (17), p.10228-10239

2020

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Wind Power Converter Fault Diagnosis Using Reduced Kernel PCA-Based BiLSTM

Sustainability, 2023-02, Vol.15 (4), p.3191

2023

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Kernelized relative entropy for direct fault detection in industrial rotary kilns

International journal of adaptive control and signal processing, 2018-07, Vol.32 (7), p.967-979

2018

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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

IEEE access, 2024, Vol.12, p.11470-11480

2024

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A new adaptive PCA based thresholding scheme for fault detection in complex systems

Chemometrics and intelligent laboratory systems, 2017-03, Vol.162, p.83-93

2017

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Enhanced Neural Network Method-Based Multiscale PCA for Fault Diagnosis: Application to Grid-Connected PV Systems

Signals (Basel), 2023-06, Vol.4 (2), p.381-400

2023

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Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS

IEEE access, 2020, Vol.8, p.78343-78353

2020

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A data-driven algorithm for online detection of component and system faults in modern wind turbines at different operating zones

Renewable & sustainable energy reviews, 2019-04, Vol.103, p.546-555

2019

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Fault detection and diagnosis in a cement rotary kiln using PCA with EWMA-based adaptive threshold monitoring scheme

Control engineering practice, 2017-09, Vol.66, p.64-75

2017

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Shading fault detection in a grid-connected PV system using vertices principal component analysis

Renewable energy, 2021-02, Vol.164, p.1527-1539

2021

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A Modified Moving Window dynamic PCA with Fuzzy Logic Filter and application to fault detection

Chemometrics and intelligent laboratory systems, 2018-06, Vol.177, p.100-113

2018

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Transmission line fault location by solving line differential equations

Electric power systems research, 2021-03, Vol.192, p.106912, Article 106912

2021

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Bernstein polynomials based-solution for linear fractional differential equations

AIP Conference Proceedings, 2019, Vol.2183 (1)

2019

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Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems

Renewable energy, 2020-05, Vol.150, p.598-606

2020

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Novel technique for transmission line parameters estimation using synchronised sampled data

IET generation, transmission & distribution, 2020-02, Vol.14 (3), p.506-515

2020

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Designing alarm system using modified generalized delay-timer

Journal of loss prevention in the process industries, 2019-09, Vol.61, p.40-48

2019

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A modified Kullback divergence for direct fault detection in large scale systems

Journal of process control, 2017-11, Vol.59, p.28-36

2017

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Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

European journal of control, 2021-05, Vol.59, p.313-321

2021

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Multivariate nuisance alarm management in chemical processes

Journal of loss prevention in the process industries, 2021-09, Vol.72, p.104548, Article 104548

2021

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Improved fault detection based on kernel PCA for monitoring industrial applications

Journal of process control, 2024-01, Vol.133, p.103143, Article 103143

2024

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Robust fault estimation for wind turbine pitch and drive train systems

International journal of electrical power & energy systems, 2024-01, Vol.155, p.109673, Article 109673

2024

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RKPCA-based approach for fault detection in large scale systems using variogram method

Chemometrics and intelligent laboratory systems, 2022-06, Vol.225, p.104558, Article 104558

2022

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An improved plant‐wide fault detection scheme based on PCA and adaptive threshold for reliable process monitoring: Application on the new revised model of Tennessee Eastman process

Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems

Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection

A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation

Wind Power Converter Fault Diagnosis Using Reduced Kernel PCA-Based BiLSTM

Kernelized relative entropy for direct fault detection in industrial rotary kilns

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

A new adaptive PCA based thresholding scheme for fault detection in complex systems

Enhanced Neural Network Method-Based Multiscale PCA for Fault Diagnosis: Application to Grid-Connected PV Systems

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS

A data-driven algorithm for online detection of component and system faults in modern wind turbines at different operating zones

Fault detection and diagnosis in a cement rotary kiln using PCA with EWMA-based adaptive threshold monitoring scheme

Shading fault detection in a grid-connected PV system using vertices principal component analysis

A Modified Moving Window dynamic PCA with Fuzzy Logic Filter and application to fault detection

Transmission line fault location by solving line differential equations

Bernstein polynomials based-solution for linear fractional differential equations

Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems

Novel technique for transmission line parameters estimation using synchronised sampled data

Designing alarm system using modified generalized delay-timer

A modified Kullback divergence for direct fault detection in large scale systems

Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

Multivariate nuisance alarm management in chemical processes

Improved fault detection based on kernel PCA for monitoring industrial applications

Robust fault estimation for wind turbine pitch and drive train systems

RKPCA-based approach for fault detection in large scale systems using variogram method

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