A computer implemented method of modelling the degradation of at least a component within an abrasive environment, the method comprising: obtaining a 3D scan of a surface of a component, processing the surface images of the component, determining the surface properties, inputting the data into a trained prediction model, predicting the performance of the component, and simulating the surface evolution over time or use of the component.

Disclosed is a system for status diagnosis of construction machinery. The system for status diagnosis of the construction machinery to determine the abnormality of the construction machinery may include a sensor unit including at least one or more oil property sensors for detecting oil property information and at least one or more equipment sensors for detecting operating status information, a control unit configured to determine a basic status of the construction machinery through the oil property information and determine an overall status of the construction machinery by reflecting the operating status information of the construction machinery based on the basic status of the construction machinery, and a display unit configured to display a notification according to the determination of the control unit.

A method for monitoring the condition of a hard finishing machine, in particular a grinding machine, wherein the hard finishing machine has a number of NC-controlled axes which are actuated during the machining of a workpiece, wherein, for the purpose of evaluating the condition of the hard finishing machine, at least one reference run is performed on at least one axis, during which the response of the axis to a drive signal is measured and evaluated. In order to enable improved condition monitoring of the hard finishing machine, the reference run includes a phase in which the axis is accelerated and/or braked.