A system, apparatus and method for determining operational configuration of asset are provided. The method includes receiving a set of operating parameters associated with the asset, identifying data associated with the asset based on the received set of operating parameters, configuring a second digital twin of the asset based on the data identified from first knowledge database, simulating a behavior of the asset based on the configured second digital twin in a simulation environment, and determining an operational configuration associated with the variant of the asset based on results of the simulation.

This device includes an acquired data storing unit for storing acquired data about a current command value of a servo motor configuring a robot drive system; a tendency diagnosis unit for diagnosing a future changing tendency of the current command value based on the data of the current command value stored in the acquired data storing unit; and a life determining unit for determining a term until the current command value reaches a previously set value based on the future changing tendency of the current command value acquired by the tendency diagnosis unit. Thus, a residual life of the robot drive system can be accurately predicted.

A wheel nut engagement checking system for a vehicle delivered by a conveyor includes: a moving member disposed at one side of the conveyor; a wheel lifting apparatus disposed on the moving member, and lifting a wheel of the vehicle from the conveyor to a predetermined height; a wheel nut torque checking apparatus provided on an arm of a robot disposed on the moving member, engaging a nut runner to a wheel nut of the wheel, and checking an engage torque of the wheel nut by rotating the nut runner; and a controller controlling a speed of the moving member, lifting the wheel to the predetermined height using the wheel lifting apparatus, moving the wheel nut torque checking apparatus using the robot so as to engage the nut runner to the wheel nut, and detecting an engage torque of the wheel nut by rotating the nut runner.

Embodiments of the present invention provide automated robotic system identification and stopping time and distance estimation, significantly improving on existing ad-hoc methods of robotic system identification. Systems and methods in accordance herewith can be used by end users, system integrators, and the robot manufacturers to estimate the dynamic parameters of a robot on an application-by-application basis.

A method estimates a position where an abnormality has occurred. The method for estimating a position where an abnormality has occurred in a robot includes an abnormality detection step of detecting occurrence of an abnormality, and a position detection step of detecting a position where the abnormality has occurred when the occurrence of the abnormality is detected in the abnormality detection step.

A method for determining a dynamic response of a machine having at least one axis, including performing a measurement run for each axis of the machine over an entire work area of each respective axis, capturing and recording data associated with each measurement run, determining a time-frequency representation of recorded data using a data processing unit, and analyzing the time-frequency representation or a related representation using an image processing algorithm.

A pre-process simulation may calculate operating conditions of a machine tool by simulating a NC program and calculate predicted values indicative of the operating conditions. A real time monitoring system may compare actual values from the actual operation of a machine tool actually executing the NC program to the predicted values and determine whether to initiate a response. The operating conditions may be machine tool operating conditions. The comparison of actual values to predicted values may be based on a dynamic limit within which the predicted values fall which may vary based on the tool position, and the dynamic limit may include upper and lower limit boundaries.

A mechanical equipment control system includes a mechanical apparatus, a load ratio detection circuit, and an integration control circuit. The mechanical apparatus includes a motor which is configured to drive the mechanical apparatus. The load ratio detection circuit is configured to detect a load ratio of the motor. The integration control circuit is configured to control the mechanical apparatus based on an operation parameter while keeping the load ratio in an allowable load state.

A system and method for monitoring real-time operational data of a robotic manipulator. The system includes a robotic manipulator, a robotic manipulator controller, an electronic processor, a memory, and an output device. The memory includes a robotic manipulator profile, the robotic manipulator profile including a history of robotic manipulator operational data. The robotic manipulator controller is configured to generate a data packet based on signals relating to various operations of the robotic manipulator, and transmit the packet to the electronic processor. The electronic processor is configured to process the data contained in the data packet, update the robotic manipulator profile based on the processed data, and generate an alert that is output to the output device based on the updated robotic manipulator profile.

A system and method for outlier detection based on process fingerprints from robot cycle data includes a data collection component, which is configured to collect cyclic data, wherein the cyclic data comprises multiple vectors each of which comprises data from one individual cycle of the robot cycle data; a data storage component, wherein which is configured to store the collected cyclic data; and a data processing component, which is configured to perform cloud processing of the stored cyclic data triggered by a cycle-start signal, wherein the data processing component is configured to parse the stored cyclic data and to process the stored cyclic data based on a configuration file defining metadata of the stored cyclic data, wherein the data processing component is configured extract process fingerprints from the stored cyclic data using the metadata.