Prof. Zhu Mao Profile

Prof. Zhu Mao

Associate Professor at Worcester Polytechnic Institute

SPIE Involvement:

Conference Program Committee | Author

Websites:

Personal Website

Publications (17)

Proceedings Article | 18 April 2022 Presentation + Paper

Machine-learning to see defects: a hybrid attention-ConvLSTM-based convolutional neural network deep learning architecture for structural damage detection

Mehrdad Shafiei Dizaji, Zhu Mao

Proceedings Volume 12046, 120460L (2022) https://doi.org/10.1117/12.2615542

KEYWORDS: Video, Damage detection, Convolution, Feature extraction, Data modeling, Convolutional neural networks, Visual process modeling, High speed cameras, Signal detection, Sensors

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Proceedings Article | 23 April 2020 Presentation + Paper

Motion magnification for optical-based structural health monitoring

Celso do Cabo, Nicholas Valente, Zhu Mao

Proceedings Volume 11381, 1138122 (2020) https://doi.org/10.1117/12.2559266

KEYWORDS: Bridges, Cameras, Structural health monitoring, Video, Data acquisition, Video processing, Reliability, Machine learning, Shape analysis, Algorithm development

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Proceedings Article | 1 April 2019 Paper

Direct waveform extraction via a deep recurrent denoising autoencoder

Meng Ma, Yang Qin, Mulugeta Haile, Zhu Mao

Proceedings Volume 10971, 109711R (2019) https://doi.org/10.1117/12.2515537

KEYWORDS: Denoising, Data modeling, Neural networks, Acoustics, Acoustic emission, Feature extraction, Structural health monitoring, Sensors, Wavefronts, Source localization

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Proceedings Article | 27 March 2019 Paper

An investigation on the relationship between distortions in the motion magnified videos, and the choice of filter bank

Aral Sarrafi, Zhu Mao

Proceedings Volume 10970, 1097005 (2019) https://doi.org/10.1117/12.2515538

KEYWORDS: Video, High speed cameras, Wavelets, Machine vision, Computer vision technology, Computational imaging, Structural dynamics, Wind turbine technology, Optical filters, Digital cameras

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Proceedings Article | 27 March 2018 Paper

Structural operating deflection shape estimation via a hybrid computer-vision algorithm

Aral Sarrafi, Zhu Mao

Proceedings Volume 10600, 106002K (2018) https://doi.org/10.1117/12.2296784

KEYWORDS: Modal analysis, Vibrational characterization, Video processing, System identification, Particle filters, Detection and tracking algorithms, Structural dynamics, Machine vision, Computer vision technology, Sensors, Cameras

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Proceedings Article | 27 March 2018 Paper

Applying video magnification for vision-based operating deflection shape evaluation on a wind turbine blade cross-section

Aral Sarrafi, Peyman Poozesh, Christopher Niezrecki, Zhu Mao

Proceedings Volume 10600, 106000M (2018) https://doi.org/10.1117/12.2296688

KEYWORDS: Motion estimation, Video, Wind turbine technology, Wavelets, Structural dynamics, Cameras, Signal to noise ratio, High speed cameras, Machine vision, Computer vision technology, Motion measurement, Modal analysis

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Proceedings Article | 19 April 2017 Paper

Mode extraction on wind turbine blades via phase-based video motion estimation

Aral Sarrafi, Peyman Poozesh, Christopher Niezrecki, Zhu Mao

Proceedings Volume 10171, 101710E (2017) https://doi.org/10.1117/12.2260406

KEYWORDS: Motion estimation, Wind energy, Structural dynamics, Image processing, Video processing, Modal analysis, Motion measurement, Motion models, Wind turbine technology, Image filtering, Digital image correlation, Cameras

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Proceedings Article | 5 April 2017 Paper

Uncertainty quantification of phase-based motion estimation on noisy sequence of images

Aral Sarrafi, Zhu Mao

Proceedings Volume 10170, 101702M (2017) https://doi.org/10.1117/12.2260403

KEYWORDS: Machine vision, Motion estimation, Statistical analysis, Video processing, Optical testing, Contamination, Motion analysis, Monte Carlo methods, Structural dynamics, Uncertainty analysis, Signal to noise ratio, 3D metrology

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Proceedings Article | 1 April 2016 Paper

Probabilistic uncertainty quantification of wavelet-transform-based structural health monitoring features

Aral Sarrafi, Zhu Mao

Proceedings Volume 9805, 98051N (2016) https://doi.org/10.1117/12.2222048

KEYWORDS: Structural health monitoring, Wavelet transforms, Statistical analysis, Signal processing, Fourier transforms, Environmental sensing, Probability theory, Monte Carlo methods, Damage detection, Wavelets, Wave propagation, Error analysis, Interference (communication)

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Proceedings Article | 23 March 2015 Paper

Uncertainty quantification of relative acoustic nonlinearity parameter of guided waves for damage detection in composite structures

Ming Hong, Zhu Mao, Michael Todd, Zhongqing Su, Xinlin Qing

Proceedings Volume 9438, 94380A (2015) https://doi.org/10.1117/12.2084182

KEYWORDS: Composites, Waveguides, Damage detection, Acoustics, Statistical analysis, Carbon, Signal processing, Second-harmonic generation, Wave propagation, Semiconducting wafers

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Proceedings Article | 23 March 2015 Paper

A haptic-inspired audio approach for structural health monitoring decision-making

Zhu Mao, Michael Todd, David Mascareñas

Proceedings Volume 9438, 943821 (2015) https://doi.org/10.1117/12.2084464

KEYWORDS: Computer programming, Structural health monitoring, Haptic technology, Ultrasonics, Waveguides, Neodymium, Sensors, Structural engineering, Lanthanum, Scattering

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Proceedings Article | 17 April 2013 Paper

Damage detection using vector auto-regressive models

Zongming Huang, Gang Liu, Michael Todd, Zhu Mao

Proceedings Volume 8695, 86953E (2013) https://doi.org/10.1117/12.2012248

KEYWORDS: Sensors, Data modeling, Damage detection, Structural health monitoring, Mahalanobis distance, Statistical modeling, Matrices, Receivers, Bridges, Model-based design

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Proceedings Article | 17 April 2013 Paper

Frequency response feature selection in a Bayesian framework

Zhu Mao, Michael Todd

Proceedings Volume 8695, 869535 (2013) https://doi.org/10.1117/12.2009686

KEYWORDS: Structural health monitoring, Feature selection, Data modeling, Data acquisition, Systems modeling, Signal to noise ratio, Feature extraction, Signal processing, Statistical modeling, Damage detection

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Proceedings Article | 20 April 2012 Paper

Uncertainty propagation of transmissibility-based structural health monitoring features

Zhu Mao, Michael Todd

Proceedings Volume 8348, 834811 (2012) https://doi.org/10.1117/12.915025

KEYWORDS: Statistical analysis, Structural health monitoring, Statistical modeling, Neodymium, Damage detection, System identification, Data modeling, Environmental sensing, Biological research, Mathematical modeling

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Proceedings Article | 18 April 2011 Paper

Statistical quantification of the uncertainty in transmissibility feature for structural condition binary classification

Zhu Mao, Michael Todd

Proceedings Volume 7984, 79842H (2011) https://doi.org/10.1117/12.879914

KEYWORDS: Binary data, System identification, Receivers, Signal attenuation, Analytical research, Statistical analysis, Interference (communication), Contamination, Biological research, Defect detection

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Proceedings Article | 9 April 2010 Paper

A structural transmissibility measurements-based approach for system damage detection

Zhu Mao, Michael Todd

Proceedings Volume 7650, 76500G (2010) https://doi.org/10.1117/12.847253

KEYWORDS: Error analysis, Damage detection, Statistical analysis, Signal to noise ratio, Structural health monitoring, Data modeling, Statistical modeling, Satellites, Gallium, Analytical research

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Proceedings Article | 8 April 2008 Paper

Comparison of shape reconstruction strategies in a complex flexible structure

Zhu Mao, Michael Todd

Proceedings Volume 6932, 69320H (2008) https://doi.org/10.1117/12.775931

KEYWORDS: Sensors, 3D modeling, Neural networks, Finite element methods, Data modeling, Mechanics, 3D metrology, Associative arrays, Fiber Bragg gratings, Shape memory alloys

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Showing 5 of 17 publications

Conference Committee Involvement (18)

Health Monitoring of Structural and Biological Systems XIX

17 March 2025 | Vancouver, B.C., Canada

Active and Passive Smart Structures and Integrated Systems XIX

17 March 2025 | Vancouver, B.C., Canada

Active and Passive Smart Structures and Integrated Systems XVIII

25 March 2024 | Long Beach, California, United States

Health Monitoring of Structural and Biological Systems XVIII

25 March 2024 | Long Beach, California, United States

Health Monitoring of Structural and Biological Systems XVII

13 March 2023 | Long Beach, California, United States

Active and Passive Smart Structures and Integrated Systems XVII

13 March 2023 | Long Beach, California, United States

Active and Passive Smart Structures and Integrated Systems XVI

7 March 2022 | Long Beach, California, United States

Health Monitoring of Structural and Biological Systems XVI

7 March 2022 | Long Beach, California, United States

Health Monitoring of Structural and Biological Systems XV

8 March 2021 | Online Only, California, United States

Active and Passive Smart Structures and Integrated Systems XV

8 March 2021 | Online Only, California, United States

Health Monitoring of Structural and Biological Systems XIV

27 April 2020 | Online Only, California, United States

Active and Passive Smart Structures and Integrated Systems XIV

27 April 2020 | Online Only, California, United States

Active and Passive Smart Structures and Integrated Systems XIII

4 March 2019 | Denver, Colorado, United States

Health Monitoring of Structural and Biological Systems XIII

4 March 2019 | Denver, Colorado, United States

Active and Passive Smart Structures and Integrated Systems XII

5 March 2018 | Denver, Colorado, United States

Health Monitoring of Structural and Biological Systems XII

5 March 2018 | Denver, Colorado, United States

Health Monitoring of Structural and Biological Systems XI

26 March 2017 | Portland, Oregon, United States

Active and Passive Smart Structures and Integrated Systems XI

26 March 2017 | Portland, Oregon, United States

Showing 5 of 18 Conference Committees

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