Sachin Kumar Singh
Indian Institute of Technology(Indian School of Mines) Dhanbad, India, Indian Institute of Technology Dhanbad, Indian Institute of Technology Guwahati, Tezpur University
0000-0002-9754-5415
About
Professor Sachin has more than 15 years of research experience in the areas of Machinery Condition Monitoring and Structural Health Monitoring. The primary objective of Professor Sachin’s research group is to develop immediate solutions to the Condition Monitoring problems faced by the industrial Machinery equipment. The current research activities of Prof. Sachin's groups are on the development of new algorithms for the incipient fault detection of bearing, Gears, motor, and shaft.
Prof. Sachin is open to research collaboration in the above-mentioned areas.
The students who want to carry out his research with Prof. Sachin's group must have had basics of Mechanical Vibration, Matrix algebra, Statistics, Signal Processing, and Numerical Methods. Prospective students should have had adequate experience in software like MATLAb, LAbVIEW, and Python.
Employment
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Indian Institute of Technology(Indian School of Mines) Dhanbad, India Associate Professor2022 - Present
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Indian Institute of Technology Dhanbad Assistant Professor2015 - 2022
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Tezpur University Assistant Professor2010 - 2015
Education
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Indian Institute of Technology Guwahati PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- Enhanced diagnosis of broken rotor bar faults using discrete wavelet transform and convolutional neural network Save
- Fault diagnosis of bearings and gears using impulse-induced phase discontinuity Save
- Numerical and experimental investigation on crack detection in a beam using maximal overlapping discrete wavelet transform Save
- Volume Optimization of Two-Stage Helical Gear Train using Differential Evolution Algorithm Save
- A variance-based approach for the detection and localization of cracks in a beam Save
- Crack detection in a beam using curvatures and digital image measurements Save
- Early detection of bearing faults using minimum entropy deconvolution adjusted and zero frequency filter Save
- Selection of suitable mother wavelet along with vanishing moment for the effective detection of crack in a beam Save
- Crack detection near the ends of a beam using wavelet transform and high resolution beam deflection measurement Save
- Measurement of spine parameters and possible scoliosis cases with surface topography Techniques: A case study with young Indian males Save