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Integrated Machine Health Monitoring (IMHM)

Vision

To create a research facility and environment for the students to learn & practice and yield solutions to industry needs.

Mission

Design & Development of predictive analytics model and IoT based monitoring system for machine condition monitoring and process monitoring.

Focus Area of Research

  • Physics Informed/ Reinforced ML for Machinery Fault detection and Tool Condition Monitoring
  • Digital Twin and Multi sensor information fusion-based Machine condition monitoring and process monitoring
  • Prediction of remaining useful life of the Machine Components
  • ML based real time condition monitoring and chatter control in thin wall and high-speed machining of Titanium alloys
  • Online weld quality monitoring using weld arc signatures

Team

Dr. K. I. Ramachandran

Dr. K. I. Ramachandran

Professor

Dr. Ramesh Kumar K.

Dr. Ramesh Kumar K.

Professor

Dr. Saimurugan M.

Dr. Saimurugan M.

Associate Professor

Dr. Krishna Kumar P.

Dr. Krishna Kumar P.

Associate Professor

Dr. Sakthivel N. R.

Dr. Sakthivel N. R.

Associate Professor

Dr. Sumesh A.

Dr. Sumesh A.

Assistant Professor (Sl. Gd.)

Dr. T. Mohanraj

Dr. T. Mohanraj

Assistant Professor (Sl. Gd.)

Design optimization of needle and spherical roller bearings using traditional and pareto optimal approaches

Author : Rameshkumar Krishnasamy, Satyanarayana Venkat, Arjun Muralikrishnan, Arjun Kumar Rajkumar, Manish Manimaran, Design optimization of needle and ...

Driver Inattention Monitoring System Based on the Orientation of the Face Using Convolutional Neural Network

Author : P.M. Manjula, S. Adarsh, K.I. Ramachandran, Driver Inattention Monitoring System Based on the Orientation of the Face Using Convolutional Neural ...

Distance Estimation of Preceding Vehicle Based on Mono Vision Camera and Artificial Neural Networks

Author : K. Karthika, S. Adarsh, K.I. Ramachandran, Distance Estimation of Preceding Vehicle Based on Mono Vision Camera and Artificial Neural Networks, 2020 ...

Experimental, analytical and finite element studies on nano(MWCNT) and hybrid (MWCNT/glass fiber) filler reinforced polypropylene composites

Author : N. Rasana, K. Jayanarayanan, K. I. Ramachandran, Experimental, analytical and finite element studies on nano(MWCNT) and hybrid (MWCNT/glass fiber) ...

Neuro-fuzzy based fusion of LiDAR and ultrasonic sensors to minimize error in range estimation for the navigation of mobile robots

Author : S. Adarsh, K.I. Ramachandran, Neuro-fuzzy based fusion of LiDAR and ultrasonic sensors to minimize error in range estimation for the navigation of ...

Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing

Author : K. Rameshkumar, Kaviarasu Nataraj, P. Krishnakumar, M. Saimurugan, Machine Learning Approach for Predicting the Solid Particle Lubricant ...

The influence of material stiffness and damping on machining stability in boring tool–workpiece systems using finite element simulation to implement digital twin

Author : Saravanamurugan Sundaram, Fawas Puthenveetil, Viswajith S. Nair, Rameshkumar Krishnaswamy, The influence of material stiffness and damping on ...

Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with Non-Linear Features of Cutting Force and Vibration Signatures

Author : Viswajith S Nair, Rameshkumar K, Saravanamurugan S, Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with ...

Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

Author : Praveen Kochukrishnan, K. Rameshkumar, S. Srihari, Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach, SAE ...

Strategies for Implementing Dynamic Mode Decomposition in Automotive Noise, Vibration, and Harshness Testing

Author : Lakshmikanthan Chinnasamy, K.I. Ramachandran, Strategies for Implementing Dynamic Mode Decomposition in Automotive Noise, Vibration, and Harshness ...

Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid Particle Contamination in a Spur Gearbox

Author : K. Rameshkumar, R. Sriram, M. Saimurugan, P. Krishnakumar, Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid ...

CFD analysis of rotating diffuser in a SUV vehicle for improving thermal comfort

Author : L. Karthick, D. Prabhu, K. Rameshkumar, T. Prabhu, C.A. Jagadish, CFD analysis of rotating diffuser in a SUV vehicle for improving thermal comfort, ...

Multi-objective Optimization and Numerical Analysis of Coil Spring Used in Automobile Suspensions

Author : Anurag Tripathi, K. Rameshkumar, S. Saravanamurugan, Multi-objective Optimization and Numerical Analysis of Coil Spring Used in Automobile ...

Grinding wheel condition prediction with discrete hidden Markov model using acoustic emission signature

Author : P. Sachin Krishnan, K. Rameshkumar, Grinding wheel condition prediction with discrete hidden Markov model using acoustic emission signature, ...

AE signature analysis using continuous and discrete wavelet transforms to predict grinding wheel conditions

Author : K Shivith, K Rameshkumar, AE signature analysis using continuous and discrete wavelet transforms to predict grinding wheel conditions, IOP Conference ...

Development of an Efficient Framework for the Distribution of Essential Relief Materials during Floods by Clustering Technique

Author : S Sudeesh, K Rameshkumar, S P Anbuudayasankar, Development of an Efficient Framework for the Distribution of Essential Relief Materials during Floods ...

Gas Metal Arc Welding Process Parameter Optimization to Reduce Porosity Defect in a Longitudinal Seam Welding of Pressure Vessels

Author : A. Kuppusamy, K. Rameshkumar, A. Sumesh, S. Premkumar, Gas Metal Arc Welding Process Parameter Optimization to Reduce Porosity Defect in a ...

Performance evaluation of deep learning approaches for fault diagnosis of rotational mechanical systems using vibration, sound, and acoustic emission signals

Author : T Praveen Kumar, R Buvaanesh, M Saimurugan, G Naresh, Solomon Jenoris Muthiya, Murgayya Basavanakattimath, Performance evaluation of deep learning ...

Deep Quantile Regression Based Wind Generation and Demand Forecasts

Author : N. Kirthika, K. I. Ramachandran, Sasi K. Kottayil, Deep Quantile Regression Based Wind Generation and Demand Forecasts, In Proceedings of the 11th ...

Effect of fluxes on weld penetration during TIG welding–A review

Author : Rakesh, N., Mohan, A., Navaf, P., Harisankar, M.S., Nambiar, S.J., Harikrishnan, M., Devadathan, J.S. and Rameshkumar, K., 2023. Effect of fluxes on ...

Activated flux induced Tungsten inert gas welding of Ferrous alloys – A Review

Author : Rakesh, N. and Rameshkumar, K., 2022, July. Activated flux induced Tungsten inert gas welding of Ferrous alloys-A Review. In Journal of Physics: ...
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