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Journal Articles

Intelligent Fault Diagnosis based on EAO-VMD in Dual-Rotor Cylindrical Roller Bearings

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Accepted Manuscript
Sharadchandra Patil, Vishal G. Salunkhe, Prashant S. Jadhav, Shravani Desavale, Vinay Shinde, Ramchandra Ganapati Desavale
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol.
Paper No: TRIB-25-1189
https://doi.org/10.1115/1.4068831
Published Online: June 4, 2025
View Articletitled, Intelligent Fault Diagnosis based on EAO-VMD in Dual-Rotor Cylindrical Roller Bearings
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Topics: Fault diagnosis, Roller bearings, Rotors, Machinery, Bearings, Signals, Flaw detection, Support vector machines, Vibration, Algorithms
Journal Articles

Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques

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Prashant S. Jadhav, Vishal G. Salunkhe, R. G. Desavale, S. M. Khot, P. V. Shinde, P. M. Jadhav, Pramila R. Gadyanavar
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. September 2024, 146(9): 094301.
Paper No: TRIB-23-1388
https://doi.org/10.1115/1.4065335
Published Online: May 15, 2024
View Articletitled, Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques
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Topics: Bearings, Fault diagnosis, Modeling, Vibration, Rotors, Machine learning, Rolling bearings
Journal Articles

Research on Ferrographic Image Fault Diagnosis Based on Channel Overlapping Technique and Information Fusion Mechanism

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Xie Fei, Wei Haijun
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. July 2024, 146(7): 074601.
Paper No: TRIB-23-1178
https://doi.org/10.1115/1.4064858
Published Online: March 25, 2024
View Articletitled, Research on Ferrographic Image Fault Diagnosis Based on Channel Overlapping Technique and Information Fusion Mechanism
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Topics: Algorithms, Convolutional neural networks, Fault diagnosis, Deep learning, Computers, Computation
Journal Articles

Experimental-Based Fault Diagnosis of Rolling Bearings Using Artificial Neural Network

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R. A. Kanai, R. G. Desavale, S. P. Chavan
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research-Article
J. Tribol. July 2016, 138(3): 031103.
Paper No: TRIB-15-1316
https://doi.org/10.1115/1.4032525
Published Online: April 27, 2016
View Articletitled, Experimental-Based Fault Diagnosis of Rolling Bearings Using Artificial Neural Network
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Topics: Artificial neural networks, Bearings, Molecular beam epitaxy, Vibration, Rotors, Rolling bearings, Stress, Fault diagnosis
Journal Articles

Condition Monitoring of Molybdenum Disulphide Coated Thrust Ball Bearings Using Time-Frequency Signal Analysis

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Ali Kahirdeh, M. M. Khonsari
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. October 2010, 132(4): 041606.
https://doi.org/10.1115/1.4002379
Published Online: October 8, 2010
View Articletitled, Condition Monitoring of Molybdenum Disulphide Coated Thrust Ball Bearings Using Time-Frequency Signal Analysis
Open the PDF for Condition Monitoring of Molybdenum Disulphide Coated Thrust Ball Bearings Using Time-Frequency Signal Analysis in another window
Topics: Ball bearings, Coating processes, Coatings, Damage, Failure, Friction, Signals, Thrust, Vibration, Wear