AS
Aparna Sinha
Indian Institute of Technology Roorkee, University of Engineering & Management, Dr Shyama Prasad Mukherjee International Institute of Information Technology, University of Calcutta
0000-0003-3178-8059
Employment
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Indian Institute of Technology Roorkee Institute Postdoctoral Researcher2024 - Present
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University of Engineering & Management Assistant Professor2024 - 2024
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Indian Institute of Technology Madras Senior Project Engineer2024 - 2024
Education
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Dr Shyama Prasad Mukherjee International Institute of Information Technology PhD2020 - 2024
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University of Calcutta M.Tech2018 - 2020
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Maulana Abul Kalam Azad University of Technology B.Tech2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- Thermography-Based Electrical Machine Fault Diagnosis Using Explainable Compact Vision in Transformer Save
- CrackScan: Enabling Intelligent Edge Inspection With UAVs for Structural Health Monitoring Save
- ElectroShield: XAI-assisted fault detection in transmission lines using multi-modal data Save
- Autoencoder and Mahalanobis distance-based monitoring indicator estimation for early clinkering detection in boiler Save
- An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm Save
- Graphical User Interface Aided Intelligent Diagnosis of Stator Faults in Induction Motors Save
- LSTM-Autoencoder-Based Interpretable Predictive Maintenance Framework for Industrial Systems Save
- Machine Learning-based Explainable Stator Fault Diagnosis in Induction Motor using Vibration Signal Save
- dClink: A data-driven based clinkering prediction framework with automatic feature selection capability in 500 MW coal-fired boilers Save
- XAI-LCS: Explainable AI-Based Fault Diagnosis of Low-Cost Sensors Save