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20192026
most citedEnvironmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models

46 citations · 83 across the 17 of their papers we have counts for

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4 papers · 1 filter

eess.SP2024

Smart structural health monitoring (SHM) system for on-board localization of defects in pipes using torsional ultrasonic guided waves

Sheetal Patil, Sauvik Banerjee, Siddharth Tallur

Most reported research for monitoring health of pipelines using ultrasonic guided waves (GW) typically utilize bulky piezoelectric transducer rings and laboratory-grade ultrasonic…

eess.SP2023★ 1 cited

Classification of Various Types of Damages in Honeycomb Composite Sandwich Structures using Guided Wave Structural Health Monitoring

Shruti Sawant, Jeslin Thalapil, Siddharth Tallur +2

Classification of damages in honeycomb composite sandwich structure (HCSS) is important to decide remedial actions. However, previous studies have only detected damages using devia…

eess.SP2023★ 1 cited

Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device

Pankhi Kashyap, Kajal Shivgan, Sheetal Patil +4

Fueled by the rapid development of machine learning (ML) and greater access to cloud computing and graphics processing units (GPUs), various deep learning based models have been pr…

eess.SP2021★ 46 cited

Environmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models

Shruti Sawant, Sheetal Patil, Jeslin Thalapil +2

Conventional damage localization algorithms used in ultrasonic guided wave-based structural health monitoring (GW-SHM) rely on physics-defined features of GW signals. In addition t…