Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Shweta Dabetwar"'
4
Prognostics and Health Management of Wind Energy Infrastructure Systems
Autor: Celalettin Yuce, Ozhan Gecgel, Oguz Dogan, Shweta Dabetwar, Yasar Yanik, Onur Can Kalay, Esin Karpat, Fatih Karpat, Stephen Ekwaro-Osire
Publikováno v: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg.
The improvements in wind energy infrastructure have been a constant process throughout many decades. There are new advancements in technology that can further contribute towards the Prognostics and Health Management (PHM) in this industry. These adva
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e6416d2df89af833cc2957e35981132b
https://doi.org/10.1115/1.4053422
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6
Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks
Autor: Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias
Publikováno v: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 5
Composite materials can be modified according to the requirements of applications, and hence, their applications are increasing significantly with time. Due to the complex nature of the aging of composites, it is equally challenging to establish stru
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2221d43736b0655bd6c307e49fb0efff
https://doi.org/10.1115/1.4051947
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8
Damage Classification of Composites Based on Analysis of Lamb Wave Signals Using Machine Learning
Autor: Stephen Ekwaro-Osire, Shweta Dabetwar, João Paulo Dias
Publikováno v: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg. 7
Composite materials have a myriad of applications in complex engineering systems, and multiple structural health monitoring (SHM) strategies have been developed. However, these methods are challenging due to signal attenuation and excessive noise int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3d0d513b5d4d180ecb91d7185714fec
https://doi.org/10.1115/1.4048867
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9
Damage Detection of Composite Materials Using Data Fusion With Deep Neural Networks
Autor: Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias
Publikováno v: Volume 10B: Structures and Dynamics.
Composite materials have enormous applications in various fields. Thus, it is important to have an efficient damage detection method to avoid catastrophic failures. Due to the existence of multiple damage modes and the availability of data in differe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::251fe7a8f3d9ae77e9d5a6449dbb9bb1
https://doi.org/10.1115/gt2020-15097
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10
Damage Classification of Composites Using Machine Learning
Autor: João Paulo Dias, Shweta Dabetwar, Stephen Ekwaro-Osire
Publikováno v: Volume 13: Safety Engineering, Risk, and Reliability Analysis.
Composite materials have tremendous and ever-increasing applications in complex engineering systems; thus, it is important to develop non-destructive and efficient condition monitoring methods to improve damage prediction, thereby avoiding catastroph
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c22fa6810cf0f59d2a86d74e5e1f506d
https://doi.org/10.1115/imece2019-11851
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