RK
Rajesh Kumar
Sant Longowal Institute of Engineering and Technology, Indian Institute of Technology Delhi
Research areas: Engineering · Control and Systems Engineering · Machine Fault Diagnosis Techniques · Fault Detection and Control Systems · Gear and Bearing Dynamics Analysis
0000-0003-3955-8282
About
Professor in Mechanical Engineering at Sant Longowal Institute of Engineering and Technology. Doctorate from Indian Institute of Technology Delhi
Employment
- 1994 - Present
Education
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Indian Institute of Technology Delhi Doctorate1999 - 2003
Projects & Funding
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Development of fault identification system for water turbine making use of vibration signal and artificial intelligence All India Council for Technical Education2019 - 2022
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Development of opto-mechatronic system for stress analysis and identification of defects in components Ministry of Human Resource Development2003 - 2006
Publications (111)
- Hybrid Machine Learning for Optimal Design of Piezoelectric Diaphragm Energy Harvesters Using Modified Grey Wolf Optimization Save
- Framing reliability and condition monitoring of machinery in non-stationary operations Save
- Editorial for Special Issue in Measurement Science and Technology Advancements in Condition Monitoring under Non-Stationary Operations Save
- Influence of Titanium Oxide and Calcium Carbonate Powder as Additives on Tribological Characteristics of Lubricants Save
- Advancing machine fault diagnosis: a detailed examination of convolutional neural networks Save
- Optimization of spectral kurtosis-based filtering through flow direction algorithm for early fault detection Save
- A roadmap to fault diagnosis of industrial machines via machine learning: A brief review Save
- A crayfish-optimized wavelet filter and its application to fault diagnosis Save
- Advancing machine fault diagnosis: A detailed examination of convolutional neural networks Save
- Condition Monitoring in Non-Stationary Operations (CMMNO 2024) Save
- Current Applications of Machine Learning in Additive Manufacturing: A Review on Challenges and Future Trends Save
- Development and Studies on Piezoelectric Energy Harvester for Engine and Human Footstep Vibrations Save
- Research on Entropy-Regularized Convolutional Neural Network and Squeeze-and-Excitation Mechanism for Improved Identification of Defects Using Acoustics Data Save
- Research on Entropy-Regularized Convolutional Neural Network and Squeeze-and-Excitation mechanism for improved identification of defects using acoustics data Save
- Shaping the future: latest developments in 3D printing stimuli-responsive soft polymers Save
- Fault Feature Extraction Using L-Kurtosis and Minimum Entropy-Based Signal Demodulation Save
- A comprehensive study on developing an intelligent framework for identification and quantitative evaluation of the bearing defect size Save
- A crayfish optimised wavelet filter and its application to fault diagnosis of machine components Save
- A quasi-reflected and Gaussian mutated arithmetic optimisation algorithm for global optimisation Save
- An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis Save