AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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STUDIA ENGINEERING - Ediţia nr.Special Issue din 2023 | |||||||
Articol: |
DETERMINING THE TEMPERATURE USING NATURAL FREQUENCIES AND ARTIFICIAL INTELLIGENCE. Autori: ALEXANDRA-TEODORA AMAN, ZENO-IOSIF PRAISACH, GILBERT-RAINER GILLICH, VASILE CĂTĂLIN RUSU. |
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Rezumat: DOI: 10.24193/subbeng.2023.spiss.2 Published Online: 2023-12-21 pp. 18-26 VIEW PDF FULL PDF: VOL. 68, Special Issue, 2023 The current paper explores a novel approach for determining temperature variations by integrating the modal parameters and AI techniques. The research focuses on the development of a comprehensive dataset for training an AI model encompassing an analytical method that considers thermal conditions and natural frequencies. Traditional methods of temperature measurement, like infrared and platinum resistance thermometers, often face limitations in terms of accuracy, especially in complex or dynamic environments having an uncertainty of ±3.6 °C [1], respectively ±0.2 °C [2]. In this study, we propose a methodology that harnesses the inherent relationship between axial loads caused by temperature variations and the change in natural frequencies of a double clamped steel beam. The measured natural frequency data is collected and fed into the AI model, specifically, for a robust temperature estimation, obtaining a maximum predicted temperature deviation of 0.386 °C. Keywords: temperature, natural frequency, artificial intelligence, finite element method, thermal condition |
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