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Selection of the level of vibration signal decomposition and mother wavelets to determine the level of failure severity in spur gearboxes

Quality and reliability engineering international, 2024-05

2024

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Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

Sensors (Basel, Switzerland), 2016-06, Vol.16 (6), p.895

2016

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Fault Diagnosis Generalization Improvement Through Contrastive Learning for a Multistage Centrifugal Pump

IEEE transactions on reliability, 2024, p.1-9

2024

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Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump

IEEE/ASME transactions on mechatronics, 2023-06, Vol.28 (3), p.1395-1403

2023

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Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss

Sensors (Basel, Switzerland), 2020-04, Vol.20 (8), p.2339

2020

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Fault diagnosis in spur gears based on genetic algorithm and random forest

Mechanical systems and signal processing, 2016-03, Vol.70-71, p.87-103

2016

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A review on data-driven fault severity assessment in rolling bearings

Mechanical systems and signal processing, 2018-01, Vol.99, p.169-196

2018

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Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

Sensors (Basel, Switzerland), 2015-09, Vol.15 (9), p.23903-23926

2015

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Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor

Neurocomputing (Amsterdam), 2020-03, Vol.380, p.51-66

2020

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Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM

Journal of intelligent manufacturing, 2022-04, Vol.33 (4), p.1031-1055

2022

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Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery

IEEE access, 2019, Vol.7, p.70643-70653

2019

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Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery

Expert systems with applications, 2017-04, Vol.71, p.69-86

2017

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A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Journal of intelligent & fuzzy systems, 2018-01, Vol.34 (6), p.3565-3580

2018

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Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

Mechanical systems and signal processing, 2016-08, Vol.76-77, p.283-293

2016

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Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals

Mechanical systems and signal processing, 2021-01, Vol.147, p.107108, Article 107108

2021

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Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification

Information sciences, 2020-07, Vol.524, p.1-14

2020

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Spur Gear Fault Diagnosis Using a Multilayer Gated Recurrent Unit Approach With Vibration Signal

IEEE access, 2019, Vol.7, p.56880-56889

2019

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Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis

IEEE access, 2022, Vol.10, p.29778-29787

2022

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Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor

Sensors (Basel, Switzerland), 2024-01, Vol.24 (2), p.461

2024

Volltextzugriff (PDF)

From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine

ISA transactions, 2021-04, Vol.110, p.357-367

2021

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Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation

Applied soft computing, 2017-09, Vol.58, p.53-64

2017

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Vibration signal analysis using symbolic dynamics for gearbox fault diagnosis

International journal of advanced manufacturing technology, 2019-10, Vol.104 (5-8), p.2195-2214

2019

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Hierarchical feature selection based on relative dependency for gear fault diagnosis

Applied intelligence (Dordrecht, Netherlands), 2016-04, Vol.44 (3), p.687-703

2016

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A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis

IEEE transactions on fuzzy systems, 2019-07, Vol.27 (7), p.1362-1382

2019

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Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN

Journal of intelligent & fuzzy systems, 2018-01, Vol.34 (6), p.3463-3473

2018

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Selection of the level of vibration signal decomposition and mother wavelets to determine the level of failure severity in spur gearboxes

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

Fault Diagnosis Generalization Improvement Through Contrastive Learning for a Multistage Centrifugal Pump

Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump

Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss

Fault diagnosis in spur gears based on genetic algorithm and random forest

A review on data-driven fault severity assessment in rolling bearings

Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor

Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM

Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery

Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals

Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification

Spur Gear Fault Diagnosis Using a Multilayer Gated Recurrent Unit Approach With Vibration Signal

Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis

Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor

From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine

Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation

Vibration signal analysis using symbolic dynamics for gearbox fault diagnosis

Hierarchical feature selection based on relative dependency for gear fault diagnosis

A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis

Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN

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