| Bolt early looseness monitoring using modified vibro-acoustic modulation by time-reversal F Wang, G Song Mechanical Systems and Signal Processing 130, 349-360, 2019 | 157 | 2019 |
| A novel fractal contact-electromechanical impedance model for quantitative monitoring of bolted joint looseness F Wang, SCM Ho, L Huo, G Song Ieee Access 6, 40212-40220, 2018 | 155 | 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 F Wang, L Huo, G Song Smart materials and structures 27 (1), 015023, 2018 | 154 | 2018 |
| Monitoring of multi-bolt connection looseness using entropy-based active sensing and genetic algorithm-based least square support vector machine F Wang, Z Chen, G Song Mechanical Systems and Signal Processing 136, 106507, 2020 | 139 | 2020 |
| A fractal contact theory based model for bolted connection looseness monitoring using piezoceramic transducers L Huo, F Wang, H Li, G Song Smart Materials and Structures 26 (10), 104010, 2017 | 108 | 2017 |
| Modeling and analysis of an impact-acoustic method for bolt looseness identification F Wang, SCM Ho, G Song Mechanical Systems and Signal Processing 133, 106249, 2019 | 92 | 2019 |
| New entropy-based vibro-acoustic modulation method for metal fatigue crack detection: An exploratory study N Li, F Wang, G Song Measurement 150, 107075, 2020 | 86 | 2020 |
| A novel percussion-based method for multi-bolt looseness detection using one-dimensional memory augmented convolutional long short-term memory networks F Wang, G Song Mechanical Systems and Signal Processing 161, 107955, 2021 | 74 | 2021 |
| Monitoring of multi-bolt connection looseness using a novel vibro-acoustic method F Wang, G Song Nonlinear Dynamics 100 (1), 243-254, 2020 | 74 | 2020 |
| Bolt-looseness detection by a new percussion-based method using multifractal analysis and gradient boosting decision tree F Wang, G Song Structural Health Monitoring 19 (6), 2023-2032, 2020 | 63 | 2020 |
| Monitoring of early looseness of multi-bolt connection: a new entropy-based active sensing method without saturation F Wang, SCM Ho, G Song Smart Materials and Structures 28 (10), 10LT01, 2019 | 62 | 2019 |
| Shear loading detection of through bolts in bridge structures using a percussion‐based one‐dimensional memory‐augmented convolutional neural network F Wang, G Song, YL Mo Computer‐Aided Civil and Infrastructure Engineering 36 (3), 289-301, 2021 | 57 | 2021 |
| Smart crawfish: A concept of underwater multi-bolt looseness identification using entropy-enhanced active sensing and ensemble learning F Wang, Z Chen, G Song Mechanical Systems and Signal Processing 149, 107186, 2021 | 53 | 2021 |
| If structure can exclaim: a novel robotic-assisted percussion method for spatial bolt-ball joint looseness detection F Wang, A Mobiny, H Van Nguyen, G Song Structural Health Monitoring 20 (4), 1597-1608, 2021 | 45 | 2021 |
| Looseness detection in cup-lock scaffolds using percussion-based method F Wang, G Song Automation in Construction 118, 103266, 2020 | 44 | 2020 |
| Monitoring of bolt looseness using piezoelectric transducers: Three-dimensional numerical modeling with experimental verification N Li, F Wang, G Song Journal of Intelligent Material Systems and Structures 31 (6), 911-918, 2020 | 40 | 2020 |
| A modified analytical cutting force prediction model under the tool flank wear effect in micro-milling nickel-based superalloy X Lu, F Wang, Z Jia, L Si, C Zhang, SY Liang The International Journal of Advanced Manufacturing Technology 91, 3709-3716, 2017 | 39 | 2017 |
| 1D-TICapsNet: An audio signal processing algorithm for bolt early looseness detection F Wang, G Song Structural Health Monitoring 20 (5), 2828-2839, 2021 | 34 | 2021 |
| Detection of sand deposition in pipeline using percussion, voice recognition, and support vector machine H Cheng, F Wang, L Huo, G Song Structural Health Monitoring 19 (6), 2075-2090, 2020 | 33 | 2020 |
| Model of the instantaneous undeformed chip thickness in micro-milling based on tooth trajectory X Lu, Z Jia, F Wang, G Li, L Si, L Gao Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2018 | 30 | 2018 |
gangbing songDepartment of Mechanical Engineering, University of HoustonEmail verificata su uh.edu
