Abstract: A method, device, and system for configuring a coating machine for coating a surface of a product using a coating substance are provided. The method includes determining a value associated with one or more parameters from a plurality of parameters associated with the coating operation. The method also includes predicting a value associated with at least one attribute associable with the coating substance based on the determined value associated with the one or more parameters using a trained machine learning model. The method includes configuring the coating machine for coating the surface using the coating substance based on the predicted value associated with the at least one attribute associable with the coating substance. The method also includes initiating a coating operation at the configured coating machine for coating the surface of the product using the coating substance.

Abstract: A method, device, and system for configuring a coating machine for coating a surface of a product using a coating substance are provided. The method includes determining a value associated with one or more parameters from a plurality of parameters associated with the coating operation. The method also includes predicting a value associated with at least one attribute associable with the coating substance based on the determined value associated with the one or more parameters using a trained machine learning model. The method includes configuring the coating machine for coating the surface using the coating substance based on the predicted value associated with the at least one attribute associable with the coating substance. The method also includes initiating a coating operation at the configured coating machine for coating the surface of the product using the coating substance.

Abstract: A system for predicting failure of one or more components of a machine is disclosed. The system includes at least one interface configured for inputting current repair data for a first component, a database configured to log the current repair data of the first component, and a processor operably connected to the at least one interface and the database. The processor analyzes the current repair data of the first component based on historic repair data stored in the database, wherein the historic repair data includes the identity of a plurality of components of the machine, including the first component and a second component. The processor generates a recommendation for servicing the second component based on the historic repair data stored in the database.