Abstract: An apparatus for predicting performance of a wheel in a vehicle: includes a learning device that generates a latent space for a plurality of two-dimensional (2D) wheel images based on a convolutional autoencoder (CAE), extracts a predetermined number of the plurality of 2D wheel images from the latent space, and learns a dataset having the plurality of 2D wheel images and performance values corresponding to the plurality of 2D wheel images; and a controller that predicts performance for the plurality of 2D wheel images based on a performance prediction model obtained by the learning device.

Abstract: An apparatus being capable of quickly removing noise from a partial discharge signal generated from the electrical power facility such as a gas insulated switchgear (GIS) and the like, and an apparatus for detecting a partial discharge generated section. The apparatus for removing noise from a partial discharge signal comprises a PD signal detection unit configured to detect a PD signal of the power facility and to detect and output peaks of the PD signal in respective preset time intervals, a noise signal detection unit configured to detect a noise signal outside the power facility and to detect and output peaks of the noise signal in the respective preset time intervals, and a noise removal unit configured to eliminate the peaks of the PD signal output in time intervals identical to those in which the peaks of the noise signal detection unit are output.

Abstract: The present invention relates to an apparatus for removing the partial discharge (PD) noise of an electrical power facility that is capable of quickly removing noise from a partial discharge signal generated from the electrical power facility such as a gas insulated switchgear (GIS) and the like, and an apparatus for detecting a partial discharge generated section.