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Jatin Prakash
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Journal Articles

Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder

Jatin Prakash, Ankur Miglani, P. K. Kankar
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. August 2024, 24(8): 084504.
Paper No: JCISE-23-1555
https://doi.org/10.1115/1.4065526
Published Online: June 7, 2024
View Article titled, Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder
Open the PDF for Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder in another window
Topics: Cylinders, Hydraulic cylinders, Leakage, Pressure, Support vector machines, Signals
Journal Articles

Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models

Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2023, 23(5): 051015.
Paper No: JCISE-22-1372
https://doi.org/10.1115/1.4062425
Published Online: May 9, 2023
View Article titled, Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models
Open the PDF for Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models in another window
Topics: Artificial neural networks, Centrifugal pumps, Pressure, Pumps, Signals, Suction, Support vector machines, Feature extraction, Algorithms, Machine learning
Journal Articles

Pressure Signal-Based Analysis of Anomalies in Switching Behavior of a Two-Way Directional Control Valve

Jatin Prakash, Shruti Singh, Ankur Miglani, P. K. Kankar
Journal: ASME Open Journal of Engineering
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2023, 2: 021006.
Paper No: AOJE-22-1094
https://doi.org/10.1115/1.4056474
Published Online: January 11, 2023
View Article titled, Pressure Signal-Based Analysis of Anomalies in Switching Behavior of a Two-Way Directional Control Valve
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Topics: Dimensions, Fractals, Pressure, Signals, Valves, Artificial neural networks
Journal Articles

Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers

Jatin Prakash, Ankur Miglani, P. K. Kankar
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2023, 23(4): 041005.
Paper No: JCISE-22-1187
https://doi.org/10.1115/1.4056365
Published Online: January 9, 2023
View Article titled, Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers
Open the PDF for Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers in another window
Topics: Entropy, Hydraulic pumps, Leakage, Machine learning, Signals, Optimization, Algorithms, Composite materials
Includes: Supplementary data
Journal Articles

Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions

Jatin Prakash, P. K. Kankar, Ankur Miglani
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2021, 21(6): 061010.
Paper No: JCISE-20-1236
https://doi.org/10.1115/1.4050821
Published Online: May 21, 2021
View Article titled, Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions
Open the PDF for Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions in another window
Topics: Dimensions, Fractals, Valves, Machine learning, Signals, Support vector machines, Feature extraction