1-5 of 5
Fault diagnosis
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets with Machine Learning Technique

Accepted Manuscript
Asmita Mali, Prasad Vishwasrao Shinde, Amit Patil, Vishal G Salunkhe, Ramchandra Ganapati Desavale, Prashant S Jadhav
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol.
Paper No: TRIB-24-1161
https://doi.org/10.1115/1.4066306
Published Online: August 20, 2024
View Article titled, A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets with Machine Learning Technique
Open the PDF for A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets with Machine Learning Technique in another window
Topics: Bearings, Fault diagnosis, Machine learning, Damage, Vibration, Algorithms, Dynamic models, Maintenance, Rolling bearings, Simulation
Journal Articles

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

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 Article titled, Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques
Open the PDF for Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques in another window
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

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 Article titled, Research on Ferrographic Image Fault Diagnosis Based on Channel Overlapping Technique and Information Fusion Mechanism
Open the PDF for Research on Ferrographic Image Fault Diagnosis Based on Channel Overlapping Technique and Information Fusion Mechanism in another window
Topics: Algorithms, Convolutional neural networks, Fault diagnosis, Deep learning, Computers, Computation
Journal Articles

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

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 Article titled, Experimental-Based Fault Diagnosis of Rolling Bearings Using Artificial Neural Network
Open the PDF for Experimental-Based Fault Diagnosis of Rolling Bearings Using Artificial Neural Network in another window
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

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 Article titled, 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