Gear Fault Detection Using Recurrence Quantification Analysis and Support Vector Machine

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"Gear Fault Detection Using Recurrence Quantification Analysis and Support Vector Machine"
written by T. Haj Mohamad, Y. Chen, Z. Chaudhry, C. Nataraj,
published by Journal of Software Engineering and Applications, Vol.11 No.5, 2018

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Identification of wear mechanisms of main bearings of marine diesel engine using recurrence plot based on CNN model
	Wear, 2023

[2]	Hybrid Modeling of a Multidimensional Coupled Nonlinear System With Integration of Hamiltonian Mechanics
	2023

[3]	Integration of Nonlinear Dynamics and Machine learning for Diagnostics of a Single-Stage Gear Box
	Annual Conference of …, 2022

[4]	Fault Diagnosis of Bearings Using Recurrences and Artificial Intelligence Techniques
	Journal of Nondestructive Evaluation …, 2022

[5]	Research on Recurrence Plot Feature Quantization Method Based on Image Texture Analysis
	Journal of Environmental and Public Health, 2022

[6]	Early Detection of Cracks in a Gear-Train System Using Proper and Smooth Orthogonal Decompositions
	Advances in Nonlinear …, 2021

[7]	Application of Deep CNN-LSTM Network to Gear Fault Diagnostics
	2021

[8]	Proper and Smooth Orthogonal Decompositions for Detection of Inner Race Defects in Rolling Element Bearings with Variable Rotational Speeds
	2020

[9]	New intelligent gear fault diagnosis method based on Autogram and radial basis function neural network
	2020

[10]	Fault identification and severity analysis of rolling element bearings using phase space topology
	2020

[11]	A framework for Modeling flood Depth Using a Hybrid of Hydraulics and Machine Learning
	2020

[12]	MULTI-LABEL CLASSIFIER PERFORMANCE EVALUATION WITH CONFUSION MATRIX
	2020

[13]	Fault detection in rotating machinery by using the modal state observer approach
	2019

[14]	A Review of Phase Space Topology Methods for Vibration-Based Fault Diagnostics in Nonlinear Systems
	2019

[15]	Proper and Smooth Orthogonal Decompositions for Detection of Inner Race Defects in Rolling Element Bearings
	Nonlinear Dynamics of Structures, Systems and Devices. Springer, Cham, 2019

[16]	An overview of PST for vibration based fault diagnostics in rotating machinery
	The 14th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC XIV), 2018

[17]	Using the Gottwald and Melbourne's 0-1 test and the Hugichi fractal dimension to detect chaos in defective and healthy ball bearings
	2018

[1]	Identification of wear mechanisms of main bearings of marine diesel engine using recurrence plot based on CNN model Wear, 2023 DOI:10.1016/j.wear.2023.204656

[2]	Hybrid modeling of a multidimensional coupled nonlinear system with integration of Hamiltonian mechanics Nonlinear Dynamics, 2023 DOI:10.1007/s11071-023-08618-0

[3]	Fault Diagnosis of Bearings Using Recurrences and Artificial Intelligence Techniques Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 2022 DOI:10.1115/1.4053773

[4]	Advances in Nonlinear Dynamics NODYCON Conference Proceedings Series, 2022 DOI:10.1007/978-3-030-81166-2_40

[5]	Research on Recurrence Plot Feature Quantization Method Based on Image Texture Analysis Journal of Environmental and Public Health, 2022 DOI:10.1155/2022/2495024

[6]	Application of Deep CNN-LSTM Network to Gear Fault Diagnostics 2021 IEEE International Conference on Prognostics and Health Management (ICPHM), 2021 DOI:10.1109/ICPHM51084.2021.9486591

[7]	A Framework for Modeling Flood Depth Using a Hybrid of Hydraulics and Machine Learning Scientific Reports, 2020 DOI:10.1038/s41598-020-65232-5

[8]	Nonlinear Dynamics of Structures, Systems and Devices 2020 DOI:10.1007/978-3-030-34713-0_49

[9]	New intelligent gear fault diagnosis method based on Autogram and radial basis function neural network Advances in Mechanical Engineering, 2020 DOI:10.1177/1687814020916593

[10]	A Framework for Modeling Flood Depth Using a Hybrid of Hydraulics and Machine Learning Scientific Reports, 2020 DOI:10.1038/s41598-020-65232-5

[11]	Fault identification and severity analysis of rolling element bearings using phase space topology Journal of Vibration and Control, 2020 DOI:10.1177/1077546320926293

[12]	Fault detection in rotating machinery by using the modal state observer approach Journal of Sound and Vibration, 2019 DOI:10.1016/j.jsv.2019.06.022

[13]	A Review of Phase Space Topology Methods for Vibration-Based Fault Diagnostics in Nonlinear Systems Journal of Vibration Engineering & Technologies, 2019 DOI:10.1007/s42417-019-00157-6

[14]	An overview of PST for vibration based fault diagnostics in rotating machinery MATEC Web of Conferences, 2018 DOI:10.1051/matecconf/201821101004

[15]	Using the Gottwald and Melbourne’s 0-1 test and the Hugichi fractal dimension to detect chaos in defective and healthy ball bearings MATEC Web of Conferences, 2018 DOI:10.1051/matecconf/201824101017

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