Ping Wang

TL;DR: A new inversing approach that combines cuckoo search and particle filter to estimate the defect profile from measured signals and adopts a radial-basis function neural network as a forward model as well as the observation equation in PF is proposed.

TL;DR: In this article, the velocity effect of dynamic magnetization and magnetic hysteresis due to rapid relative motion between magnetizer and measured specimens in high-speed magnetic flux leakage (MFL) inspection was investigated.

TL;DR: In this paper, two non-destructive evaluation methods, magnetic flux leakage (MFL) and eddy current pulsed thermography (ECPT), were investigated for both artificial and natural multiple cracks (MC) detection and visualization.

TL;DR: In this paper, a new method for stress testing based on the theory of Barkhausen noise has been introduced using changing feature values for monitoring stress and temperature, and the results showed that the network had a high degree of accuracy and generalization ability, to get the values of stress.

TL;DR: Skewness of Magnetic Barkhausen Noise (MBN) signal is used as a new feature for applied stress determination in this article, which presents its ability for measuring applied tensile stress compared with conventional feature, meanwhile, a nonlinear behavior of this new feature and an independence of the excitation conditions under compressive stress are found and discussed.