R. Jegadeeshwaran
Orcid: 0000-0002-4144-827X
According to our database1,
R. Jegadeeshwaran
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
Development of a Real-Time Fault Detection Model for Hydraulic Brake Systems Using Vibration Analysis and Machine Learning With Wavelet Features.
IEEE Access, 2024
2023
A Comprehensive Approach for Detecting Brake Pad Defects Using Histogram and Wavelet Features with Nested Dichotomy Family Classifiers.
Sensors, November, 2023
Application of metaheuristic optimization based support vector machine for milling cutter health monitoring.
Intell. Syst. Appl., May, 2023
2022
Development of Online Tool Wear-Out Detection System Using Silver-Polyester Thick Film Sensor for Low-Duty Cycle Machining Operations.
Sensors, 2022
Application of Artificial Immune Recognition System for Monitoring the Brake System Using Vibration-Based Statistical Learning.
IEEE Consumer Electron. Mag., 2022
Assessment of Vehicle Handling Performance of Drivers Using Machine Learning Algorithms.
IEEE Access, 2022
2021
Supervision of Carbide Tool Condition by Training of Vibration-based Statistical Model using Boosted Trees Ensemble.
Int. J. Perform. Eng., 2021
A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations.
CoRR, 2021
Modeling and Analysis of Unmanned Remote Guided Vehicle on Rough and Loose Snow Terrain.
CoRR, 2021
2020
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020
Vibration-Based Fault Detection in a Hydraulic Brake System using Artificial Immune Recognition System with Statistical Features.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020
2019
Vibration Based IC Engine Fault Diagnosis Using Tree Family Classifiers - A Machine Learning Approach.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2019
Condition Monitoring of Hydraulic Brake System Using Rough Set Theory and FUZZY Rough Nearest Neighbor Learning Algorithms.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2019