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.

An accumulated wear amount calculation section calculates a wear amount of a blade edge of a punch and a wear amount of a blade edge of a die when a tool set of the punch and the die has processed a sheet metal once. The accumulated wear amount calculation section calculates an accumulated wear amount of the blade edge of the punch and an accumulated wear amount of the blade edge of the die by accumulating wear amounts of respective times when the tool set has processed the sheet metal multiple times. A tool management information managing section manages a state of the blade edge of each punch and each die by causing a tool management information storage section to store tool management information associating a tool identification code given to each punch and each die with the accumulated wear amounts calculated by the accumulated wear amount calculation section.

A method is provided for assessing wear of a drill bit throughout its use for carrying out the drilling of elements to be drilled constituted by at least one layer and at least one material. The wear of the drill bit expresses its capacity to perform a drilling that meets at least one criterion of quality of a drilling. The method includes at least: measuring or detecting at least one parameter having an effect on the wear of the drill bit, the parameter being chosen from: the depth of drilling performed by the drill bit, and the entry of the drill bit into the element to be drilled; and determining at least one state of wear of the drill bit, each state of wear being determined as a function of one of the parameters and being characteristic of one of the criteria of quality of a drilling.

A method is provided for assessing wear of a drill bit throughout its use for carrying out the drilling of elements to be drilled constituted by at least one layer and at least one material. The wear of the drill bit expresses its capacity to perform a drilling that meets at least one criterion of quality of a drilling. The method includes at least: measuring or detecting at least one parameter having an effect on the wear of the drill bit, the parameter being chosen from: the depth of drilling performed by the drill bit, and the entry of the drill bit into the element to be drilled; and determining at least one state of wear of the drill bit, each state of wear being determined as a function of one of the parameters and being characteristic of one of the criteria of quality of a drilling.

A machine learning device included in a failure predicting apparatus includes a state observing unit that observes, as state variables indicating a current environmental state, operating state data indicating an operating state of the management target device and device configuration data indicating a device configuration of the management target device, a label data acquiring unit that acquires, as label data, maintenance history data indicating a maintenance history of the management target device, and a learning unit that, by using the state variables and the label data, learns a failure timing of a printed circuit board included in the management target device, the operating state data, and the device configuration data such that the failure timing is associated with the operating state data and the device configuration data.

An accumulated wear amount calculation section calculates a wear amount of a blade edge of a punch and a wear amount of a blade edge of a die when a tool set of the punch and the die has processed a sheet metal once. The accumulated wear amount calculation section calculates an accumulated wear amount of the blade edge of the punch and an accumulated wear amount of the blade edge of the die by accumulating wear amounts of respective times when the tool set has processed the sheet metal multiple times. A tool management information managing section manages a state of the blade edge of each punch and each die by causing a tool management information storage section to store tool management information associating a tool identification code given to each punch and each die with the accumulated wear amounts calculated by the accumulated wear amount calculation section.

A system for managing the longevity of tools of a programmable CNC machine including means for inputting into the machine control a designation of a tool for use therein, means for recording the time of usage of such tool, means for computing the cumulative time of usage of such tool over a lifetime of usage thereof, means for computing the average time of usage of such tool and means for signaling the usage of such tool for a selected percentage of such average time.

A system and method for evaluating accuracy of operation of sensors of a climate control unit in a premises are disclosed. The method includes receiving, from a plurality of sensors, output signals indicative of a climate within the premises. The method further includes determining one or more climate parameters within the premises based on the received output signals. The method further includes receiving one or more historical climate parameters. The method further includes generating a virtual model configured to generate one or more virtual climate parameters. The method further includes determining, based on comparison of the climate parameters and the virtual climate parameters, a range of variation for the climate parameters. The method further includes determining an accuracy of operation of the plurality of sensors based on comparison of variation between the climate parameters and the virtual climate parameters with the determined range of variation for the climate parameters.