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Mamata Jenamani

2 accepted papers

2025

Digital Twin-Driven Bearing-Fault Detection in Induction Motor and Drives using Graph Sampling and Aggregation Network

ICASSP 2025accepted

Bearing fault diagnosis is crucial for ensuring the reliability and safety of industrial systems, particularly in preventing operational failures and maintaining product quality. Traditional signal processing methods and deep learning algorithms, while useful, often overlook the complex structural r…

Cited by 0SourceScholar
2025

Structural Similarity-Aware Cross-domain Transformer for Improved Seismic Fault Detection

ICASSP 2025accepted

Seismic Fault Detection is a crucial aspect of oil exploration. While traditional deep learning methods struggle to handle complex seismic data patterns, training a deep learning model solely on synthetic seismic data may not yield satisfactory results. This research paper, involves utilizing a pre-…

Cited by 0SourceScholar