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Prashant S. Jadhav
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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
Open the PDF for Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing in another window
Topics: Bearings, Condition monitoring, Convolutional neural networks, Rollers, Machinery, Failure, Independent component analysis, Noise (Sound), Vibration, Computer simulation
Journal Articles

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

Asmita R. Mali, P. V. Shinde, Amit Prakash Patil, Vishal G. Salunkhe, R. G. Desavale, Prashant S. Jadhav
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. February 2025, 147(2): 024301.
Paper No: TRIB-24-1161
https://doi.org/10.1115/1.4066306
Published Online: September 13, 2024
View Article titled, A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets With Machine Learning Technique
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Topics: Algorithms, Bearings, Machine learning, Vibration, Signals
Journal Articles

An Integrated Dimension Theory and Modulation Signal Bispectrum Technique for Analyzing Bearing Fault in Industrial Fibrizer

Vishal G. Salunkhe, S. M. Khot, R. G. Desavale, Nitesh P. Yelve, Prashant S. Jadhav
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. August 2024, 7(3): 031006.
Paper No: NDE-23-1022
https://doi.org/10.1115/1.4065545
Published Online: June 7, 2024
View Article titled, An Integrated Dimension Theory and Modulation Signal Bispectrum Technique for Analyzing Bearing Fault in Industrial Fibrizer
Open the PDF for An Integrated Dimension Theory and Modulation Signal Bispectrum Technique for Analyzing Bearing Fault in Industrial Fibrizer in another window
Topics: Bearings, Clearances (Engineering), Dimensions, Signals, Vibration
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
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Topics: Bearings, Fault diagnosis, Modeling, Vibration, Rotors, Machine learning, Rolling bearings