A machine tool controller includes: a voltage detection unit which detects a voltage value of an input power supply; a time measurement unit which measures an occurrence time and a duration time when a voltage drop state occurs with respect to the voltage value; an abnormality determination unit which determines whether a low voltage abnormality or a power failure occurs with respect to the input power supply based on the voltage value and the duration time of the voltage drop state; a machining management unit which acquires a machining condition command and machining information of the machine tool; and a storage unit which stores the voltage value detected by the voltage detection unit, the occurrence time of the voltage drop state measured by the time measurement unit, and the machining information when the abnormality determination unit determines that the low voltage abnormality occurs with respect to the input power supply.

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets.

A tool insert for a machine, in particular a cutting, punching and/or folding machine, is disclosed. The tool insert (24) has an identification element (38) comprising tool information about the type of the tool insert (24) and/or about the area of application of the tool insert (24). The identification element (38) is machine-readable such that the tool information is transmitted to the machine when the machine reads out the identification element. Further, a machine, a machine system and a method for operating a machine are disclosed.

A tool monitoring device and method for using a tool monitoring device, the tool monitoring device including a housing configured to couple with an exterior surface of a tool, one or more sensors positioned within the housing and configured to measure one or more properties of the tool over a period of time, a communication interface configured to transmit data from the tool monitoring device to one or more external devices, the transmitted data being generated based at least in part on the measured one or more properties of the tool over the period of time, and a power source configured to provide power to the one or more sensors and the communication interface.

A processing system includes a cutting tool for milling, a plurality of sensors, and a processing unit. The plurality of sensors each is configured to measure a physical quantity that indicates a state related to loads on the cutting tool during cutting. The processing unit is configured to generate, based on measurement results from the respective sensors at a plurality of measurement time points, measurement data that is related to the loads in two directions on a plane perpendicular to a rotation axis of the cutting tool and that includes two-dimensional data at each of the measurement time points, and to perform a determination process concerning cutting in which the cutting tool is used, based on a two-dimensional shape indicated by the generated measurement data.

A method and a system for estimating state of wear of a cutting tool mounted on a machine tool. The system includes an acquisition module configured to acquire at least one operating signal specific to the cutting tool during at least one interaction of introduction or of extraction between the cutting tool and the material to be machined, and a microprocessor configured to generate from the at least one operating signal a wear signature of the cutting tool and to determine the state of wear of the cutting tool as a function of the signature.

A cutting system includes a cutting tool for milling, a plurality of sensors, and a processor, wherein the cutting tool performs a cutting process using two or more cutting blades, the plurality of sensors measure a physical quantity indicating a state regarding a load of the cutting tool at a time of the cutting process, and the processor generates, based on measurement results of the sensors at a plurality of measurement timings, two-dimensional data for each measurement timing, the two-dimensional data regarding the load in two directions on a plane perpendicular to a rotation axis of the cutting tool, classifies pieces of the generated two-dimensional data into any of a plurality of unit regions, a number of which is equal to or greater than a number of the cutting blades on the plane, and detects, based on the two-dimensional data for each unit region, an abnormality of the cutting blade.

A method for detecting defects in working CNC tools in real time, implemented in an electronic device, includes acquiring sounds of operation of a tool during a cutting or other operation process and dividing the acquired cutting sounds into a plurality of recordings of audio according to a preset time interval. Time-frequency features of the plurality of recordings of audio are acquired according to multiple feature transformation methods and a fusion feature image of the cutting sound is formed according to the extracted time-frequency features. A tool detection model is generated by training the fusion feature image, and any defects of the tool and any defect types the tool has are detected according to the tool detection model.

A machine tool includes a first motor that receives load fluctuation when the workpiece is processed and a second motor that operates to change the plural kinds of tools. An information processing device takes out the current of the first motor measured by the first current sensor for each signal that occurs at the changing operation of the plural kinds of tools and is measured by the second current sensor, and relatively compares a non-negative function value that has a current value at each taken-out segment as a parameter for each number of times of processing on the workpiece, thereby detecting a tool abnormality for each kind of the tool.

A sensing apparatus monitors a cover optic on a laser processing head for contamination, indicating the need to replace the cover optic. The apparatus includes at least one reflector and at least one sensors that are disposed in the processing head adjacent a periphery of the cover optic. The reflector reflects radiation from the laser beam deflected from contamination on the cover optic and incident thereagainst. The sensor is offset from the reflector and detects at least a portion of the radiation reflected by the reflector. A controller in communication with the sensor can determine the contamination on the cover optic based on the detected radiation.