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Journal Articles

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

Accepted Manuscript
Vishal G. Salunkhe, S.M. Khot, Prashant S. Jadhav, Nitesh Yelve, Mahadev B. Kumbhar
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-23-1573
https://doi.org/10.1115/1.4066595
Published Online: September 19, 2024
View Article titled, Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing
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Topics: Bearings, Condition monitoring, Convolutional neural networks, Rollers, Machinery, Failure, Independent component analysis, Noise (Sound), Vibration, Computer simulation
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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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Topics: Ball bearings, Bearings, Clearances (Engineering)
Journal Articles

Equivalence Classes for Shape Synthesis of Moving Mechanical Parts

Horea T. Ilies¸, Vadim Shapiro
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Papers
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
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Topics: Design, Shapes, Stress, Containment, Bearings, Geometry