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RESEARCH PAPER · Journal of Sensor and Actuator Networks · 2024

Machine Learning-Based Structural Health Monitoring Technique for Crack Detection and Localisation Using Bluetooth Strain Gauge Sensor Network

Tahereh Shah Mansouri, Gennady V. Lubarsky, Dewar Finlay, James A. McLaughlin

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11 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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Machine Learning-Based Structural Health Monitoring Technique for Crack Detection and Localisation Using Bluetooth Strain Gauge Sensor NetworkOriginalDetermination of Crack Depth in Brickworks by Ultrasonic Methods: Numerical Simulation and Regression Analysis2Ideal strain gauge location for evaluating stress intensity factor in edge-cracked aluminum plates0Advancing Structural Health Monitoring with Deep Belief Network-Based Classification1A Flexible Miniature RFID Tag for Strain Measurement on Metal Surface0Health Monitoring of Main Columns in High-Rise Buildings Using Gradient Boosting0A Dual-Domain Deep Convolutional Variational Autoencoder Framework for Unsupervised Structural Health Monitoring Using Vision-Based Vibration Analysis2From data to design: A brief review of artificial intelligence for next-generation hydrogen tanks2Intelligent Eyes on Buildings: A Scientometric Mapping and Systematic Review of AI-Based Crack Detection and Predictive Diagnostics of Building Structures1Moving morphable crack components method for structural damage identification0Binary-Encoded Transformable Modular Component Method for Structural Crack Identification0Detection and Three-Dimensional Localization of Multiple Cracks in Aircraft Wings Using a Random-Forest-Based Vibration SHM Framework0

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11 direct citing papers saved.

  1. Determination of Crack Depth in Brickworks by Ultrasonic Methods: Numerical Simulation and Regression Analysis

    Journal of Composites Science · 2024-12-16

    Alexey Nikolaevich Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, Vasilii Dolgov, Irina Razveeva, Nikita Beskopylny, Diana M. El'shaeva, Andrei A. Chernil'nik

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  2. Ideal strain gauge location for evaluating stress intensity factor in edge-cracked aluminum plates

    Journal of the Mechanical Behavior of Materials · 2025-01-01

    Abdul Aabid, Muneer Baig, Meftah Hrairi

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  3. Advancing Structural Health Monitoring with Deep Belief Network-Based Classification

    Mathematics · 2025-04-27

    Álvaro Presno Vélez, Zulima Fernández‐Muñiz, Juan Luis Fernández‐Martínez

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  4. A Flexible Miniature RFID Tag for Strain Measurement on Metal Surface

    SSRN Electronic Journal · 2026-01-01

    FengLong Wang, Yating Yu, Shiying Tu, Cheng Zhi Sun, Zhicheng Liu, Zhiwen Luo

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  5. Health Monitoring of Main Columns in High-Rise Buildings Using Gradient Boosting

    Lecture notes in civil engineering · 2026-01-01

    Sahar Nezami, Yaser Shahbazi, Mohsen Mokhtari Kashavar, Mohamad Fotouhi, Siamak Pedrammehr

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  6. A Dual-Domain Deep Convolutional Variational Autoencoder Framework for Unsupervised Structural Health Monitoring Using Vision-Based Vibration Analysis

    Journal of Computing in Civil Engineering · 2026-01-29

    Kemal Hacıefendioğlu, Fatemeh Mostofi, Tunahan Aslan, Vedat Toğan

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  7. From data to design: A brief review of artificial intelligence for next-generation hydrogen tanks

    Renewable Energy System and Equipment · 2026-03-01

    Mourad Nachtane

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  8. Intelligent Eyes on Buildings: A Scientometric Mapping and Systematic Review of AI-Based Crack Detection and Predictive Diagnostics of Building Structures

    Encyclopedia · 2026-03-27

    Mehdi Mohagheghi, Ali Bahadori‐Jahromi, Shah Room

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  9. Moving morphable crack components method for structural damage identification

    Aerospace Science and Technology · 2026-08-27

    Yifei Wang, Xiaojun Wang, Yanbo Chen

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  10. Binary-Encoded Transformable Modular Component Method for Structural Crack Identification

    Mathematics · 2026-09-01

    Yifei Wang, Xiaojun Wang

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  11. Detection and Three-Dimensional Localization of Multiple Cracks in Aircraft Wings Using a Random-Forest-Based Vibration SHM Framework

    Journal of Vibration Engineering & Technologies · 2026-09-14

    Header Ali A, Hasan Biglari, Mir Mohammad Ettefagh, Reza Hassannejad

    Read original paper ↗ ·
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