An information processing apparatus acquires detection information of a physical quantity that changes according to an operation state of a target device, transmits an acquisition request to the target device at predetermined time, to acquire context information relating to an operation status of the target device in response to the acquisition request, specifies a processing period in which the target device is in the middle of processing of the target object based on the predetermined time and the context information, extracts processing period detection information of the specified processing period from the detection information, and determines an occurrence of a defect relating to processing by the target device during the processing period based on the processing period detection information and the context information used for specifying the processing period.

A tool monitoring method and a tool monitoring system are provided. The tool monitoring method includes extracting a first data and a second data of a tool of a machine tool, simulating and analyzing the first data to generate a comparison value, calculating the second data to obtain an actual value, and integrating and comparing the comparison value with the actual value to produce a comparison result for monitoring the operating condition of the tool.

A deterioration determining apparatus includes: an operating condition acquirer to acquire an operating condition of a processing device; a processing state data acquirer to acquire processing state data detected by a sensor attached to the processing device; a learning model generator to conduct machine learning using, as learning data, the operating condition and the processing state data so as to preliminarily generate a learning model concerning the operating condition and the processing state data; an actual data acquirer to acquire actual data that is the processing state data at a determining time; a predicted data acquirer to acquire, using the learning model, predicted data that is the processing state data for the operating condition at the determining time; and a determiner to determine the degree of deterioration in the processing device in accordance with the degree of divergence between the actual data and the predicted data.

A first diamond layer made of polycrystalline diamonds and doped with foreign atoms, is arranged on a metal surface of a machining tool, and is used to detect the degree of wear of an undoped polycrystalline second diamond layer, which is arranged on the doped diamond layer and forms a functional region of the machining tool, wherein at least one physical parameter is detected continuously or periodically during operation of the tool, and wherein a change in the parameter indicates the degree of wear of the undoped second diamond layer. The doped diamond layer forms an intelligent stop layer for the tool because as a result of change in the transition from the undoped to the doped layer, the conductivity of the system changes, for example, and this change can be used to form a stop signal for the machine drive before the tool and the machined workpiece are damaged.

A method of controlling a machine tool comprising the steps of: providing a data memory containing, for at least one specific working axis of the plurality of working axes, a plurality of data tuples each assigning a load value to a position value relative to the specific working axis, selecting a first data tuple and a second data tuple whose load values are different, and generating at least one control command for the machine tool, wherein the control command is adapted to perform a first tolerance measurement at a first position value and a second tolerance measurement at a second position value, and wherein, based on a first result of the first tolerance measurement and a second result of the second tolerance measurement, information about wear of a part of the machine tool is output. A corresponding device is also be disclosed.

A method for monitoring cutting-tool abrasion of a machine tool includes the steps of: defining a tolerance range of abrasion of a cutting tool; collecting loading data of the cutting tool at every continuous machining sections; extracting actual-cutting loading data from all the loading data; calculating coefficients of fitting lines of the loading data for individual machining sections according to the actual-cutting loading data; comparing the abrasion of the cutting tool according to the tolerance range and the fitted lines; and, if an outranged result occurs, issuing an alert message to adjust or to replace the cutting tool.

The present invention provides a monitoring device for managing at least one applicator fixture mounted on an applicator which has a magnetic body and connects a terminal to wiring via up and down movement, the monitoring device comprising: a magnetic sensor which is mounted on the applicator and senses the movement of the magnetic body; at least one slave module which receives identification information of the applicator fixture and mobility information of the magnetic body sensed by the magnetic sensor; a master module which receives the identification information of the applicator fixture and the mobility information of the magnetic body in real time from the at least one slave module; and an interface module that generates a monitoring interface indicating the degree of use of at least one applicator fixture by using the identification information of the applicator fixture and the mobility information of the magnetic body.

A method for detecting a fault in a robot joint includes the steps of: performing a first torque measurement at the robot joint to thereby obtain a first set of torque values; calculating a first distribution characteristic reflecting a distribution of the first set of torque values; performing a second torque measurement at the robot joint to thereby obtain a second set of torque values; calculating a second distribution characteristic reflecting a distribution of the second set of torque values; and comparing the first and the second distribution characteristics to determine whether a fault is present or not. A difference in the distributions of torque measurements is a robust fault indicator that makes use of the repetitive behavior of the system.

An abnormality determination apparatus of the present invention acquires state data from work equipment provided with an attaching part to which a plural kinds of work parts are attached in a replaceable manner, identifies the kind of a work part attached to the attaching part, sets, corresponding to the identified kind of the work part, abnormality determination data for determining an abnormality of the work equipment, acquires, from among state data acquired from the work equipment, state data of a time when the identified kind of the work part was being attached, and compares the acquired state data with the set abnormality determination data to determine an abnormality of the work equipment.

A robot system for adjusting a machining load depending on tool wear includes a robot that is coupled to a machining unit, moves the machining unit to change a position of a tool with respect to a machining target, and has a plurality of joints. The robot system further includes a support that supports the machining target and moves the machining target to change a position of the machining target with respect to the tool, a sensor unit that is provided on the machining unit and measures an amount of current supplied to a machining motor which operates the tool or an operation force of the tool, and a controller that receives a measurement signal from the sensor unit and transmits a control signal to the robot and the support.