Dr. Yingjun Zhao Profile

Dr. Yingjun Zhao

Postdoc Fellow at Univ of California San Diego

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 27 March 2018 Presentation + Paper

Updating the finite element model for electrical impedance tomography using self-organizing map

Yingjun Zhao, Martin Schagerl, Christoph Kralovec

Proceedings Volume 10598, 1059832 (2018) https://doi.org/10.1117/12.2296894

KEYWORDS: Tomography, Finite element methods

Read Abstract +

Proceedings Article | 19 April 2017 Presentation + Paper

Characterization of the spatial elastoresistivity of inkjet-printed carbon nanotube thin films for strain-state sensing

Patrick Gruener, Yingjun Zhao, Martin Schagerl

Proceedings Volume 10169, 101690F (2017) https://doi.org/10.1117/12.2260890

KEYWORDS: Thin films, Aerospace engineering, Sensors, Electrodes, Polymers, Resistance, Tomography, Structural health monitoring, Reconstruction algorithms, Analytical research, Intelligence systems, Intelligent sensors, Intelligent sensor systems, Carbon nanotubes

Read Abstract +

Proceedings Article | 19 April 2017 Presentation + Paper

Comparison of electrical impedance tomography inverse solver approaches for damage sensing

Yingjun Zhao, Long Wang, Sumit Gupta, Kenneth Loh, Martin Schagerl

Proceedings Volume 10169, 1016915 (2017) https://doi.org/10.1117/12.2260880

KEYWORDS: Signal to noise ratio, Thin films, Visualization, Sensors, Electrodes, Inspection, Nondestructive evaluation, Tomography, Inverse problems, Transducers, Structural health monitoring, Reconstruction algorithms, Spatial resolution, Intelligence systems, Carbon nanotubes, Compressed sensing

Read Abstract +

Proceedings Article | 10 April 2014 Paper

Operational model updating of spinning finite element models for HAWT blades

Antonio Velazquez, R. Andrew Swartz, Kenneth Loh, Yingjun Zhao, Valeria La Saponara, Robert Kamisky, Cornelis van Dam

Proceedings Volume 9061, 90610U (2014) https://doi.org/10.1117/12.2046434

KEYWORDS: Data modeling, Matrices, Structural health monitoring, Wind turbine technology, System identification, Wind energy, Stochastic processes, Systems modeling, Process modeling, Algorithms

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years