Embedded Files
Research
EdgeDeviceActivityRecognition.pdfRecognition of mining dumper activities into four classes using vibration signals
Assessment of signal processing methods and CNN models for efficient computation
Analysis across layers, parameters, computation, accuracy, and inference time
Interpretation of CNN models using SHAP-based 3D surface visualization
Implementation of signal processing methods and CNN models on edge devices
DumpActivityRecognition.pdfFramework for activity recognition using vibration signal and CNN model
Utilization of PSD images from vibration signal for input to the AlexNet CNN model
Automatic extraction of distinct features from PSD images associated with activities
Measurement of vibration signal from operations within open-cast coal mines
Method has been tested and evaluated using vibration data from two dump trucks
FaultDiagnosisPMSMMotor.pdfPMSM motors are prone to major faults
Motor current signature analysis (MCSA) for detecting all fault categories
Cyber-physical system (CPS) framework for real-time predictive condition monitoring
Automated methodology to eliminate the need for human intervention
Real-time experimental validation demonstrates effectiveness and practical feasibility
LoadHaulDumper.pdfLubricant degradation: key factor affecting performance of heavy machinery
Systematically analysis of gear oil failure in Load Haul Dumper
Measurement of fluid properties using viscometer and rheometer, and contamination via FTIR and wear particle through Ferrogram
Viscosity decreases with temperature and with increasing shear rate
FTIR confirmed contamination rise and oxidation as major causes of oil degradation
Industrial Projects
Geological and acoustical study of vibration of 600 TPH ball mill. (Dec 2023 - Mar 2024) Rashmi Group, India
Conducted vibration testing of a ball mill to assess structural health and condition.
Applied spectral analysis for problem detection and correlation with geological conditions.
Air-cooled condenser leak detection system for thermal power plant. (July 2024 - July 2025) NTPC, India
Developed a non-destructive leak detection system using acoustic ultrasonic sensing.
Implemented real-time monitoring system for early leak detection, reducing unplanned downtime.
Validation of detected leaks using thermographic camera.
Real-time prognosis system [RTPS] for dumper of surface coal mines. (Jan 2023 - Dec 2024) CIL, India
Built a prognostics system for mining dump trucks using vibration and operational data.
Implemented machine learning models for fault diagnosis and fault prognosis.
Demonstrated detection of failure before scheduled maintenance through Condition-based Maintenance.
Real-time diagnosis of induction motor using Motor Current Signature Analysis. (July 2020 - Nov 2021) MCARTech, India
Developed a non-invasive fault detection system based on current signature analysis.
Implemented algorithms to identify bearing faults, rotor bar defects, and eccentricity in real-time.
Provided a cost-effective diagnostic solution for industrial motors without additional sensors.
Oil-based Condition monitoring of load haul dumper machine. (July 2018 - May 2019) CIL, India
Performed oil analysis and tribological testing for condition monitoring of LHD machines.
Identified lubricant degradation patterns and correlated with machine wear and tear.
Academic Projects
Industrial condition monitoring system using edge device (SBC). (July 2024 - July 2025) IIT Kharagpur, India
Custom-designed and implemented an edge-based monitoring system.
Developed real-time data acquisition module and signal processing on BeagleBone Black.
Automated hearing test system with real-time audiogram generation (Jan 2024 - July 2024) Remote, Thailand
Designed a hearing test system for automated audiometric assessment.
Implement frequency- and intensity-controlled sound generation using LabVIEW.
Provide a graphical representation (audiogram) of hearing sensitivity.
Environment monitoring system for smart agriculture (July 2022 - Dec 2022) Remote, Romania
Implemented Arduino and MEMS sensor systems for environmental monitoring to enhance agricultural sustainability.
Developed a LabVIEW-based platform to integrate multiple sensors for real-time data acquisition and analysis.
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