Search Results - "Dabetwar, Shweta"
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A comprehensive framework for estimating the remaining useful life of Li-ion batteries under limited data conditions with no temporal identifier
Published in Reliability engineering & system safety (01-01-2025)“…The escalating applications of Lithium-ion (Li-ion) batteries in renewable energy and electric vehicles underscore the need for enhanced prognostics and health…”
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Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Published in IEEE sensors journal (01-03-2023)“…Engineering structures and infrastructure continue to be used despite approaching or having reached their design lifetime. While contact-based measurement…”
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Non-contact sensing techniques for AI-aided structural health monitoring: a systematic review
Published in IEEE sensors journal (31-01-2023)“…Engineering structures and infrastructure continue to be used despite approaching or having reached their design lifetime. While contact-based measurement…”
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Comparative analysis of infrared thermography processing techniques for roadways’ sub-pavement voids detection
Published in NDT & E international : independent nondestructive testing and evaluation (01-07-2022)“…Roadways' sub-pavement voids caused by eroded soil through damaged culverts lead to safety hazards, traffic inconvenience, and expensive repairs. Infrared…”
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Sensitivity analysis of unmanned aerial vehicle-borne 3D point cloud reconstruction from infrared images
Published in Journal of Building Engineering (15-10-2022)“…Structural aging or inefficient design affects the energy efficiency of buildings in the United States. Infrared thermography (IRT) in conjunction with…”
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Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data
Published in International journal of fatigue (01-10-2019)“…•Probabilistic formulation of linear, non-linear and double linear fatigue models.•An uncertainty quantification framework for fatigue life prediction is…”
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Performance evaluation of deep learning algorithms for heat loss damage classification in buildings from UAV-borne infrared images
Published in Journal of Building Engineering (15-09-2023)“…Deep learning (DL) algorithms are gaining popularity to automate anomaly detection in a variety of civil and mechanical engineering domains. Nevertheless, very…”
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Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data
Published 25-09-2024“…International Journal of Fatigue, vol. 127, pp. 246-258, 2019 This work proposes a parametric probabilistic approach to model damage accumulation using the…”
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