Abstract: Provided is a method for predicting an internal state of a machine. The method includes obtaining real time machine test data from a plurality of sensors installed in a test bench of the machine and identifying differences between the obtained real time machine test data and simulation data of a machine model. The method further includes updating the machine model by eliminating the identified differences and generating synthetic data corresponding to each of a normal condition and at least one deteriorated condition of the machine using the updated machine model. The method further includes detecting one or more deterioration levels of the machine over a period of time along with timestamp data based on a plurality of machine parameters using an Artificial Intelligence (AI) model and predicting a deterioration time period of the machine indicating an RUL of the machine based on the detected deterioration levels.

Abstract: The present subject matter refers an image-processing method comprises receiving a first-image of an object captured by a range-imaging device at a first viewing location. The transforming the first-image into a second image of the object, said second image corresponding to an image captured based on range-imaging at a second viewing location with respect to the object. The gaps in the second-image are identified based on comparison with the first image, such that the identified gaps within the second image are complemented to result in a complemented second image.