A grinder selection device includes: an input unit that inputs a grinding condition for a workpiece as a grinding target of grinding machining including at least the geometry of the workpiece and vibration data indicating vibration of a grinding machine, and grinder information about one or more grinders as grinder candidates to be used for the grinding machining; a learned model acquired through supervised learning using training data containing input data and label data, the input data containing an arbitrary grinding condition for a workpiece as a grinding target of grinding machining by an arbitrary grinding machine including at least the geometry of the workpiece and vibration data indicating vibration of the grinding machine, and grinder information about an arbitrary grinder, the label data being data indicating the adequacy or inadequacy of a combination between the grinding condition and the grinder information about the grinder; and a judgment unit.

One or more aspects of the present invention relate to a computer-implemented method for part analytics, in particular for analyzing the quality, the machining process and preferably the engineering process, of a workpiece machined by at least one CNC machine. According to these aspects, the method may include providing a digital machine model of the CNC machine with realtime and non-realtime process data of the at least one CNC machine, the realtime and non-realtime process data being recorded during the machining process of the workpiece under consideration; and subsequently simulating the machining process under consideration by means of the digital machine model based at least partially on the recorded realtime and non-realtime process data.

A machining condition determining apparatus (1) includes a first setter (2a) setting a cutting speed of a cutting tool, a storage (3) storing a maximum output value of a drive motor rotating a spindle holding the cutting tool and a number of revolutions of the drive motor corresponding to the maximum output value, a number-of-revolutions determiner (4) obtaining a steady-state value of the maximum output value of the drive motor stored in the storage (3) and determining a number of revolutions of the drive motor corresponding to the obtained steady-state value of the maximum output value, and a tool-diameter determiner (5) calculating a tool diameter of the cutting tool based on the cutting speed set by the first setter (2a) and the number of revolutions of the drive motor determined by the number-of-revolutions determiner (4).

An abnormality diagnosis apparatus includes: a model acceleration calculation unit to calculate model acceleration that is a predicted value of motor acceleration; a motor acceleration calculation unit to calculate the motor acceleration from one of position information and speed information on a motor; and an abnormality determination unit to diagnose whether a power transmission mechanism is abnormal on the basis of the result of comparison between the motor acceleration and the model acceleration.

An electronic apparatus includes a communication unit configured to perform wireless communication, a storage, a first determiner, and an indoor specifying unit. The storage stores therein, as registered identification information, identification information whose contents are changeable, the identification information being allocated to a first communication device with which the communication unit is capable of performing wireless communication. The first determiner determines whether received identification information agrees with the registered identification information, the received identification information being the identification information received by the communication unit from a second communication device and allocated to the second communication device. The indoor specifying unit performs indoor specification to specify that a user having the electronic apparatus is indoors, based on a first result of determination by the first determiner.

A machining condition determining apparatus (1) includes a first setter (2a) setting a cutting speed of a cutting tool, a storage (3) storing a maximum output value of a drive motor rotating a spindle holding the cutting tool and a number of revolutions of the drive motor corresponding to the maximum output value, a number-of-revolutions determiner (4) obtaining a steady-state value of the maximum output value of the drive motor stored in the storage (3) and determining a number of revolutions of the drive motor corresponding to the obtained steady-state value of the maximum output value, and a tool-diameter determiner (5) calculating a tool diameter of the cutting tool based on the cutting speed set by the first setter (2a) and the number of revolutions of the drive motor determined by the number-of-revolutions determiner (4).

One or more aspects of the present invention relate to a computer-implemented method for part analytics, in particular for analyzing the quality, the machining process and preferably the engineering process, of a workpiece machined by at least one CNC machine. According to these aspects, the method may include providing a digital machine model of the CNC machine with realtime and non-realtime process data of the at least one CNC machine, the realtime and non-realtime process data being recorded during the machining process of the workpiece under consideration; and subsequently simulating the machining process under consideration by means of the digital machine model based at least partially on the recorded realtime and non-realtime process data.

An opening/closing member driving device includes a motor that opens and closes an opening/closing member and a controller configured to perform an abnormality determination process and a masking process. The abnormality determination process determines occurrence of a foreign object being entrapped or caught by comparing driving information corresponding to a driving status of the motor to a predetermined threshold value. The masking process invalidates the abnormality determination process over a predetermined masking period when the motor is activated. The controller includes a correction unit. The correction unit corrects at least one of the masking period or the threshold value when the motor is activated in a direction opposite to that of a preceding operation in a state in which the opening/closing member is in a high-load range.

A grinder selection device includes: an input unit that inputs a grinding condition for a workpiece as a grinding target of grinding machining including at least the geometry of the workpiece and vibration data indicating vibration of a grinding machine, and grinder information about one or more grinders as grinder candidates to be used for the grinding machining; a learned model acquired through supervised learning using training data containing input data and label data, the input data containing an arbitrary grinding condition for a workpiece as a grinding target of grinding machining by an arbitrary grinding machine including at least the geometry of the workpiece and vibration data indicating vibration of the grinding machine, and grinder information about an arbitrary grinder, the label data being data indicating the adequacy or inadequacy of a combination between the grinding condition and the grinder information about the grinder; and a judgment unit.

A receiving unit of a length measurement control apparatus receives fitting information that indicates a fitting state between parts of a product that was assembled from a group of parts including members machined using a tool. A determination unit of the length measurement control apparatus determines whether to measure a length dimension of the tool in order to correct the machining position in accordance with a change in the length dimension of the tool, on the basis of whether the fitting state indicated in the fitting information received by the receiving unit is outside a threshold range.