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Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2021-10, Vol.235 (20), p.5186-5197

2021

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Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system

Advances in mechanical engineering, 2020-10, Vol.12 (10)

2020

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Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms

Transactions of the Institute of Measurement and Control, 2024-01, Vol.46 (2), p.359-378

2024

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Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023-10, Vol.45 (10), Article 550

2023

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Hybridization of time synchronous averaging, singular value decomposition, and adaptive neuro fuzzy inference system for multi-fault bearing diagnosis

Advances in mechanical engineering, 2020-12, Vol.12 (12)

2020

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Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier

Advances in mechanical engineering, 2023-12, Vol.15 (12)

2023

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Performance Evaluation of Feature Extraction and SVM for Brain Tumor Detection Using MRI Images

Traitement du signal, 2024-08, Vol.41 (4), p.1967-1979

2024

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Bearing fault diagnosis based on feature extraction of empirical wavelet transform (EWT) and fuzzy logic system (FLS) under variable operating conditions

Journal of Vibroengineering, 2019-09, Vol.21 (6), p.1636-1650

2019

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Enhancing fault diagnosis of undesirable events in oil & gas systems: A machine learning approach with new criteria for stability analysis and classification accuracy

Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering, 2023-11

2023

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Gearbox Fault Diagnosis Using REMD, EO and Machine Learning Classifiers

Journal of Vibration Engineering & Technologies, 2024-03, Vol.12 (3), p.4673-4697

2024

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Gear Fault Detection, Identification and Classification Using MLP Neural Network

Recent Advances in Structural Health Monitoring and Engineering Structures, 2022, p.221-234

2022

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Automated Fault Diagnosis Using Maximal Overlap Discret Wavelet Packet Transform and Principal Components Analysis

PHM Society European Conference, 2024-06, Vol.8 (1), p.7

2024

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Enhancing gearbox condition monitoring using randomized singular value decomposition and K-nearest neighbor

PHM Society European Conference, 2024-06, Vol.8 (1), p.7

2024

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Edge Detection of MRI Brain Images Based on Segmentation and Classification Using Support Vector Machines and Neural Networks Pattern Recognition

Advanced Computational Techniques for Renewable Energy Systems, p.99-105

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Fault prognostics of rolling element bearing based on feature extraction and supervised machine learning: Application to shaft wind turbine gearbox using vibration signal

Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system

Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms

Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis

Hybridization of time synchronous averaging, singular value decomposition, and adaptive neuro fuzzy inference system for multi-fault bearing diagnosis

Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier

Performance Evaluation of Feature Extraction and SVM for Brain Tumor Detection Using MRI Images

Bearing fault diagnosis based on feature extraction of empirical wavelet transform (EWT) and fuzzy logic system (FLS) under variable operating conditions

Enhancing fault diagnosis of undesirable events in oil & gas systems: A machine learning approach with new criteria for stability analysis and classification accuracy

Gearbox Fault Diagnosis Using REMD, EO and Machine Learning Classifiers

Gear Fault Detection, Identification and Classification Using MLP Neural Network

Automated Fault Diagnosis Using Maximal Overlap Discret Wavelet Packet Transform and Principal Components Analysis

Enhancing gearbox condition monitoring using randomized singular value decomposition and K-nearest neighbor

Edge Detection of MRI Brain Images Based on Segmentation and Classification Using Support Vector Machines and Neural Networks Pattern Recognition

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