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Journal Articles

Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

Vishal G. Salunkhe, S. M. Khot, Prashant S. Jadhav, Nitesh P. Yelve, Mahadev B. Kumbhar

Publisher: ASME

J. Comput. Inf. Sci. Eng. December 2024, 24(12): 124501.

Paper No: JCISE-23-1573

https://doi.org/10.1115/1.4066595

Published Online: October 14, 2024

View Article titled, Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

Topics: Bearings, Convolutional neural networks, Vibration, Algorithms, Signals, Rollers

Journal Articles

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Ricardo Ortiz, Piedad Miranda-Chiquito, Angel Encalada-Davila, Luis E. Marquez, Christian Tutiven, Eleni Chatzi, Christian E. Silva

Publisher: ASME

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091002.

Paper No: JCISE-24-1035

https://doi.org/10.1115/1.4065777

Published Online: July 5, 2024

View Article titled, An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Topics: Bearings, Modeling, Algorithms, Simulation, Signals, Machine learning, Machinery

Journal Articles

Combinational Framework for Classification of Bearing Faults in Rotating Machines

Sujit Kumar, D. Ganga

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021012.

Paper No: JCISE-22-1391

https://doi.org/10.1115/1.4062453

Published Online: October 27, 2023

View Article titled, Combinational Framework for Classification of Bearing Faults in Rotating Machines

Topics: Bearings, Vibration, Signals, Machinery

Journal Articles

Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation

Maan Singh Rathore, S. P. Harsha

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021002.

Paper No: JCISE-22-1239

https://doi.org/10.1115/1.4062731

Published Online: July 13, 2023

View Article titled, Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation

Topics: Bearings, Service life (Equipment), Errors, Rolling bearings

Journal Articles

Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory

Akram Mubarak, Mebrahitom Asmelash, Azmir Azhari, Ftwi Yohannes Haggos, Freselam Mulubrhan

Publisher: ASME

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031002.

Paper No: JCISE-22-1058

https://doi.org/10.1115/1.4054690

Published Online: August 8, 2022

View Article titled, Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory

Topics: Artificial neural networks, Bearings, Condition monitoring, Fault diagnosis, Hydraulic accumulators, Machinery, Signals, Time series, Vibration, Design

Journal Articles

A Data-Driven Fault Diagnosis Method Using Modified Health Index and Deep Neural Networks of a Rolling Bearing

Muyangzi Lin, Miyuan Shan, Jie Zhou, Yunjie Pan

Publisher: ASME

J. Comput. Inf. Sci. Eng. April 2022, 22(2): 021005.

Paper No: JCISE-21-1105

https://doi.org/10.1115/1.4052082

Published Online: October 13, 2021

View Article titled, A Data-Driven Fault Diagnosis Method Using Modified Health Index and Deep Neural Networks of a Rolling Bearing

Topics: Artificial neural networks, Bearings, Fault diagnosis, Scalars, Signals, Rolling bearings, Vibration, Mahalanobis-Taguchi system

Journal Articles

Multiscale Tomographic Wave–Matter Interaction Modeling to Enable Artifact-Free Material Defect Reconstruction

John C. Steuben, John G. Michopoulos, Athanasios P. Iliopoulos, Benjamin D. Graber, Andrew J. Birnbaum

Publisher: ASME

J. Comput. Inf. Sci. Eng. October 2021, 21(5): 050901.

Paper No: JCISE-20-1256

https://doi.org/10.1115/1.4049760

Published Online: May 10, 2021

View Article titled, Multiscale Tomographic Wave–Matter Interaction Modeling to Enable Artifact-Free Material Defect Reconstruction

Topics: Geometry, Modeling, Sensors, Simulation, Waves, X-rays, Errors, Algorithms, Wave equations, Computerized tomography

Journal Articles

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Junchuan Shi, Tianyu Yu, Kai Goebel, Dazhong Wu

Publisher: ASME

J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021004.

Paper No: JCISE-20-1129

https://doi.org/10.1115/1.4048215

Published Online: October 13, 2020

View Article titled, Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Topics: Algorithms, Bearings, Errors, Service life (Equipment), Feature selection, Vibration, Signals, Failure

Journal Articles

Failure Prognosis of Complex Equipment With Multistream Deep Recurrent Neural Network

Yonghe Su, Fei Tao, Jian Jin, Tian Wang, Qingguo Wang, Lei Wang

Publisher: ASME

J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021007.

Paper No: JCISE-19-1118

https://doi.org/10.1115/1.4045445

Published Online: January 3, 2020

View Article titled, Failure Prognosis of Complex Equipment With Multistream Deep Recurrent Neural Network

Topics: Artificial neural networks, Bearings, Failure, Signals, Vibration, Simulation, Machine learning

Journal Articles

Rigid and Elastic Precision Domains of Ball Bearings

Serge Samper, Pierre-Antoine Adragna, Hughes Favreliere, Eric Pairel, Pascal Hernandez

Publisher: ASME

J. Comput. Inf. Sci. Eng. March 2012, 12(1): 011004.

https://doi.org/10.1115/1.3615686

Published Online: December 21, 2011

View Article titled, Rigid and Elastic Precision Domains of Ball Bearings

Topics: Ball bearings, Bearings, Clearances (Engineering)

Journal Articles

Equivalence Classes for Shape Synthesis of Moving Mechanical Parts

Horea T. Ilies¸, Vadim Shapiro

Publisher: ASME

J. Comput. Inf. Sci. Eng. March 2004, 4(1): 20–27.

https://doi.org/10.1115/1.1641794

Published Online: March 23, 2004

View Article titled, Equivalence Classes for Shape Synthesis of Moving Mechanical Parts

Topics: Design, Shapes, Stress, Containment, Bearings, Geometry

Journal citation

NARROW

Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Combinational Framework for Classification of Bearing Faults in Rotating Machines

Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation

Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory

A Data-Driven Fault Diagnosis Method Using Modified Health Index and Deep Neural Networks of a Rolling Bearing

Multiscale Tomographic Wave–Matter Interaction Modeling to Enable Artifact-Free Material Defect Reconstruction

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Failure Prognosis of Complex Equipment With Multistream Deep Recurrent Neural Network

Rigid and Elastic Precision Domains of Ball Bearings

Equivalence Classes for Shape Synthesis of Moving Mechanical Parts

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