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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Wang, Furui (2022): Multi-Bolt looseness detection using a new acoustic emission strategy. In: Structural Health Monitoring, v. 22, n. 3 (September 2022).

    https://doi.org/10.1177/14759217221110589

  2. Wang, Furui (2022): A novel autonomous strategy for multi-bolt looseness detection using smart glove and Siamese double-path CapsNet. In: Structural Health Monitoring, v. 21, n. 5 (March 2022).

    https://doi.org/10.1177/14759217211054575

  3. Wang, Furui (2021): Identification of Multi-Bolt Head Corrosion Using Linear and Nonlinear Shapelet-based Acousto-Ultrasonic Methods. In: Smart Materials and Structures, v. 30, n. 8 (June 2021).

    https://doi.org/10.1088/1361-665x/ac0f45

  4. Wang, Furui / Mobiny, Aryan / Van Nguyen, Hien / Song, Gangbing (2021): If structure can exclaim: a novel robotic-assisted percussion method for spatial bolt-ball joint looseness detection. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).

    https://doi.org/10.1177/1475921720923147

  5. Wang, Furui / Song, Gangbing (2020): 1D-TICapsNet: An audio signal processing algorithm for bolt early looseness detection. In: Structural Health Monitoring, v. 20, n. 5 (December 2020).

    https://doi.org/10.1177/1475921720976989

  6. Wang, Furui / Song, Gangbing (2019): Bolt-looseness detection by a new percussion-based method using multifractal analysis and gradient boosting decision tree. In: Structural Health Monitoring, v. 19, n. 6 (December 2019).

    https://doi.org/10.1177/1475921720912780

  7. Cheng, Hao / Wang, Furui / Huo, Linsheng / Song, Gangbing (2019): Detection of sand deposition in pipeline using percussion, voice recognition, and support vector machine. In: Structural Health Monitoring, v. 19, n. 6 (December 2019).

    https://doi.org/10.1177/1475921720918890

  8. Wang, Furui / Song, Gangbing / Mo, Yi‐Lung (2021): Shear loading detection of through bolts in bridge structures using a percussion‐based one‐dimensional memory‐augmented convolutional neural network. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 3 (November 2021).

    https://doi.org/10.1111/mice.12602

  9. Wang, Furui / Song, Gangbing (2020): Looseness detection in cup-lock scaffolds using percussion-based method. In: Automation in Construction, v. 118 (October 2020).

    https://doi.org/10.1016/j.autcon.2020.103266

  10. Wang, Furui / Ho, Michael / Song, Gangbing (2019): Monitoring of Early Looseness of Multi-Bolt Connection: A New Entropy-based Active Sensing Method Without Saturation. In: Smart Materials and Structures, v. 28, n. 10 (29 August 2019).

    https://doi.org/10.1088/1361-665x/ab3a08

  11. Wang, Furui / Huo, Linsheng / Song, Gangbing (2018): A piezoelectric active sensing method for quantitative monitoring of bolt loosening using energy dissipation caused by tangential damping based on the fractal contact theory. In: Smart Materials and Structures, v. 27, n. 1 (January 2018).

    https://doi.org/10.1088/1361-665x/aa9a65

  12. Huo, Linsheng / Wang, Furui / Li, Hongnan / Song, Gangbing (2017): A fractal contact theory based model for bolted connection looseness monitoring using piezoceramic transducers. In: Smart Materials and Structures, v. 26, n. 10 (October 2017).

    https://doi.org/10.1088/1361-665x/aa6e93

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