A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece in a state where a wire is not disconnected during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, machining condition data of a condition relating to a machining condition commanded in machining of the workpiece, machining member data relating to a member used in the machining, and machining state data during machining of the workpiece, as state data indicating a state of the machining; and a learning part configured to generate, based on the state data created by the preprocessing part, a learning model indicating correlation between the state data and the state where the wire of the wire electric discharge machine is not disconnected.

A probe assembly of an electropolishing system for electropolishing a surface of a part is disclosed. The probe assembly includes a supply line, at least a part of which is flexible. The supply line defines a fluid passage for a flow of an electrolyte therethrough. The probe assembly also includes an electrode with at least one aperture. The electrode is attached to the supply line and is fluidly connected to the fluid passage for receiving the electrolyte and outputting the electrolyte via the at least one aperture. The electrode is configured to be electrically charged for electropolishing the surface of the part. Also, the probe assembly includes a sensor that is attached to at least one of the supply line and the electrode. The sensor is configured to provide substantially real-time feedback corresponding to the electropolishing of the surface of the part. Methods of using the system are also disclosed.

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece in a state where a wire is not disconnected during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, machining condition data of a condition relating to a machining condition commanded in machining of the workpiece, machining member data relating to a member used in the machining, and machining state data during machining of the workpiece, as state data indicating a state of the machining; and a learning part configured to generate, based on the state data created by the preprocessing part, a learning model indicating correlation between the state data and the state where the wire of the wire electric discharge machine is not disconnected.