An information processing device according to one aspect of the present invention includes a first acquirer configured to acquire measured data of a sensor, a second acquirer configured to acquire characteristic data of the sensor, the characteristic data having been acquired by maintaining the sensor, and a generator configured to generate teacher data in which the acquired characteristic data is associated as label information with the acquired measured data.

A robotic system includes a processing system comprising at least one processor. The processor generates a plan to monitor the asset. The plan comprises one or more tasks to be performed by the at least one robot. The processor receives sensor data from at least one sensor indicating one or more characteristics of the asset. The processor adjusts the plan to monitor the asset by adjusting or adding one or more tasks to the plan based on one or both of the quality of the acquired data or a potential defect of the asset. The adjusted plan causes the at least one robot to acquire additional data related to the asset when executed.

A machine tool control device according to the present invention includes a feedback counter for obtaining A- and B-phase signals of rectangular waves or sine waves and a one-rotation signal, which are outputted from a sensor for detecting the position or speed of a driven axis or a motor, to calculate a feedback count value that is a count value of the number of feedback pulses generated from the A- and B-phase signals; a feedback count value storage unit for storing an inter-one-rotation-signal feedback count value that is the feedback count value counted between the two sequential one-rotation signals; a reference value storage unit for storing an anomaly determination reference value corresponding to the inter-one-rotation-signal feedback count value; and an anomaly cause determination unit for determining the cause of an anomaly by comparison between the inter-one-rotation-signal feedback count value and the anomaly determination reference value.

A method includes receiving, via at least one sensor of a robot, sensor data indicating one or more characteristics of an asset. The method includes detecting, based on the sensor data, an existing or imminent defect of the asset. The method includes fabricating a part suitable for use in correcting the defect. The structure of the part is derived using one or both of a digital representation of the asset generated using the sensor data or stored reference data related to the asset.

To provide an abnormality determination apparatus, a computer readable medium, an abnormality determination system and an abnormality determination method which can simply detect an abnormality of a temperature in a machine tool without incurring cost. An abnormality determination apparatus which determines abnormality of a temperature sensor in a plurality of machine tools, in which the plurality of machine tools is equivalent machine type, is arranged in equivalent environments, are provided with a temperature sensor at equivalent positions, the abnormality determination apparatus including: a temperature data acquisition unit which acquires temperature data outputted by the temperature sensors from each of the plurality of machine tools; a comparison unit which compares the temperature data acquired by the temperature data acquisition unit; and an abnormality determination unit which determines abnormality of the temperature sensor based on a comparison result by the comparison unit.

Disclosed is a device for determining the operational status of a sensor configured to: determine initial parameters of a Bayesian model and a degree of a polynomial regression model based on historical data of a target sensor and a reference sensor; infer a posterior distribution of a regression coefficient and an error term of a regression curve using the polynomial regression model and the Bayesian model; set a credible interval based on the posterior distribution of the regression coefficient and the error term of the regression curve, and set control lines of data of the target sensor using the credible interval; determine an accuracy of the target sensor based on current data of the target sensor and the set control line; and control an operational status of the target sensor based on the accuracy.

An information processing device according to one aspect of the present invention includes a first acquirer configured to acquire measured data of a sensor, a second acquirer configured to acquire characteristic data of the sensor, the characteristic data having been acquired by maintaining the sensor, and a generator configured to generate teacher data in which the acquired characteristic data is associated as label information with the acquired measured data.

A servo control apparatus includes a sensor unit for detecting a motor speed; an amplifier for driving a motor and feeding back a current; a magnetic pole position detector; a position controller for outputting a speed command; a speed controller for outputting a current command; a current controller for outputting a voltage command; a speed estimator for calculating an estimated speed from the voltage command; a magnetic pole position estimator for calculating an estimated magnetic pole position from the estimated speed; a sensor malfunction detector; a stop position command generator; and a first switch for switching from the position command to the stop position command, a second switch for switching from the magnetic pole position to the estimated magnetic pole position, and a third switch for switching from the detected speed to the estimated speed, when the sensor malfunction detector has detected a malfunction.

A method includes receiving, via at least one sensor of a robot, sensor data indicating one or more characteristics of an asset. The method includes detecting, based on the sensor data, an existing or imminent defect of the asset. The method includes fabricating a part suitable for use in correcting the defect. The structure of the part is derived using one or both of a digital representation of the asset generated using the sensor data or stored reference data related to the asset.

A robotic system includes a processing system comprising at least one processor. The processor generates a plan to monitor the asset. The plan comprises one or more tasks to be performed by the at least one robot. The processor receives sensor data from at least one sensor indicating one or more characteristics of the asset. The processor adjusts the plan to monitor the asset by adjusting or adding one or more tasks to the plan based on one or both of the quality of the acquired data or a potential defect of the asset. The adjusted plan causes the at least one robot to acquire additional data related to the asset when executed.