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: The present invention discloses a rotary pulse type filter dust collector, which can maintain excellent de-dusting efficiency of a low pressure pulse type filter dust collector, reduce the number of required components in order to reduce manufacturing costs, maintenance fees, and lower defect factors to provide higher reliability. The dust collector includes: a dust collector body, a number of filter bags, a moving compressed air tank, nozzles, diaphragm valves, mechanical 3-way valves, protrusions, a reduction motor and a mechanical device for driving the compressed air tank, and an inverter controller.