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Wei Zhao

Researcher at Tsinghua University

Publications -  170
Citations -  1363

Wei Zhao is an academic researcher from Tsinghua University. The author has contributed to research in topics: Electromagnetic acoustic transducer & Signal. The author has an hindex of 16, co-authored 164 publications receiving 852 citations.

Papers
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A new omni-directional EMAT for ultrasonic Lamb wave tomography imaging of metallic plate defects.

TL;DR: The experimental results of its use on a 3 mm thick aluminum plate indicate that the EMAT with a contra-flexure coil (CFC) can transmit and receive a pure single A0 mode ULW with a high signal-to-noise ratio (SNR) and the extraction of the projection data used for ULW TI may be performed accurately.
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Three-dimensional defect inversion from magnetic flux leakage signals using iterative neural network

TL;DR: In this paper, an iterative neural network was proposed to reconstruct three-dimensional defect profiles from three-axial MFL signals in pipeline inspection, and the defect profile was updated based on a combination of gradient descent and simulated annealing in the iterative inversion procedure.
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Laser based measurement for the monitoring of shaft misalignment.

TL;DR: In this paper, a non-contact laser-based measurement method is used to monitor positional changes of a rotating shaft in real time while in operation, and the results are then used to detect the presence of shaft misalignment.
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Improvement of unidirectional focusing periodic permanent magnet shear-horizontal wave electromagnetic acoustic transducer by oblique bias magnetic field

TL;DR: In this paper, the authors proposed a new unidirectional point focusing shear horizontal (SH) guided wave electromagnetic ultrasonic transducer (EMAT) with an angled periodic permanent magnet (PPM) in this work.
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An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect

TL;DR: Compared with the opening profiles recognized merely by the horizontal component signal, the proposed method shows better recognition results, which validates that the vertical component signal can also be a useful information for the defect estimation.