Birsen Yazici

TL;DR: In this paper, an adaptive, statistical, time-frequency method for the detection of broken bars and bearing faults is presented. But, due to the time-varying normal operating conditions of the motor and the effect of motor geometry on the current, they employ a training-based approach in which the algorithm is trained to recognize the normal operating modes of motor before the actual testing starts.

TL;DR: In this paper, a hierarchical Bayesian approach is proposed to improve spatial resolution and quantitative accuracy by using a priori information provided by a secondary high-resolution anatomical imaging modality, such as magnetic resonance (MR) or x-ray.

TL;DR: This work focuses on improving the spatial resolution and the quantitative accuracy of Diffuse Optical Tomography by using a priori anatomical information specific to unknown image, which leads to improved spatial resolution, quantitative accuracy and faster convergence than standard least squares approach.

TL;DR: In this article, a method of detecting faults on a power transmission line system includes simultaneously measuring phase current samples at each phase of each transmission terminal; calculating real and imaginary phaselets comprising partial sums of the phase current sample; for each phaselet, calculating a respective partial sum of squares of each phase sample; calculating the sums of real and real phaselets over a variable size sliding sample window.

TL;DR: The study indicates that the pharmacokinetic-rate images may provide superior information than single set of pharmacokinetics rates estimated from the entire breast tissue for breast cancer diagnosis.