A motion system and method of managing health of the motion system uses exclusively motion variables used by a servo drive of the motion system to calculate at least one health indication value for the motion system. The health indication value is used to generate a notification for maintenance of the motion system.

A method of preventing arc flaring events for a welding system is provided. The method includes determining, by a controller, a real-time welding output characteristic of the welding system. The method additionally includes comparing, by the controller, the real-time welding output characteristic to a threshold welding output characteristic. The method further includes controlling an operating characteristic of the welding system in response to a determination that the real-time welding output characteristic exceeds the threshold welding output characteristic.

Monitoring of a machine is performed by an acoustic monitor which acquires, through an acoustic sensor, acoustic signals from a vicinity of a machine, while the machine is operative. A processor calculates a frequency spectrum of a segment of the acquired acoustic signals, determines boundaries of a frequency band to be analyzed and extracts, from the calculated frequency spectrum, a base frequency window in the determined boundaries, and one or more harmonics windows of harmonics of the determined boundaries. For each of the base and harmonic windows a weight based on a distribution of values of frequencies in the windows is determined and a parameter of operation of the machine is calculated as a function of a weighted sum of the base and harmonic windows. The operation of the machine is evaluated responsive to the calculated parameter.

Provided is a device management system to suppress decreases in producibility. A device management system manages a plurality of production-line-configuring devices configuring a production line to produce products, and has a device state data storage part, an analysis part, and a server output part. The production-line-configuring devices include a combination weighing machine to weigh the products, a bag-making and packaging machine to package the products, and a boxing device to box the packaged products into boxes. The device state data storage part accumulates device state data, which is information pertaining to the components included in the production-line-configuring devices. The analysis part performs an analysis process to analyze the device state data accumulated in the device state data storage part. The server output part outputs maintenance information, which pertains to maintenance of the components, on the basis of the results of the analysis process.

A method (1000) for condition monitoring is disclosed, comprising moving (1010) a machine component according to a cycle of a defined motion profile (PF) comprising generating (1040) a first distribution (T.sub.1, p.sub.1) of a measured force (T) causing an acceleration and/or of a measured motion parameter (p) associated with the movement of the machine component according to a defined motion profile, associating (1050) the first distribution with a first load response (L.sub.1), generating (1060) a second distribution (T.sub.2, p.sub.2) of associated registered (1070) values of said force and/or motion parameter subsequently measured when moving the machine component according to the cycle at a subsequent point in time, associating (1080) the second distribution with a second load response (L.sub.2), determining (1100) an amount of variation of a load component of a mechanical load on the machine component based on a difference between the first load response and the second load response.

An average value of differences between command current values acquired at a plurality of timings when the motor is controlled at a rotation speed within a preset fixed range in a preset period and an average value of the command current values in the period is acquired, and the average value of the differences is accumulated in an order of the acquisition. When a difference between an accumulated value of the average values of the differences up to an N1th time and an accumulated value of the average values of the differences up to an Nth time becomes greater than or equal to a preset value, and then become less than the preset value, and then again becomes greater than or equal to the preset value, a notification of an abnormality sign in the robot arm is transmitted.

A malfunction detection device compares detected data on a condition at a predetermined part of an apparatus with a threshold so as to determine a malfunction of the apparatus. The malfunction detection device varies the threshold in accordance with a type of a lubricant used for movable parts of the apparatus.

The invention relates to a robot system for detection of an operation anomaly. The robot system comprises: an industrial robot; a robot controller configured to control operation of said industrial robot; a robot operation program which is executable by said robot controller to operate said industrial robot according to a robot operation cycle; respective program nodes integrated in said robot operation program, wherein each of said respective program nodes is associated with a separate operational element of said robot operation cycle; wherein said robot controller is configured to obtain reference data based on operation parameters associated with execution of said robot operation program; and an anomaly detection block which for at least one of said respective program nodes is configured to evaluate an operation anomaly of said robot operation parameters relative to a representation of said reference data.

Provided is a method of providing a real-time robot monitoring service, in which robots in a factory are monitored in real-time by a service providing server, the method including steps of: (a) receiving state information of each axis of each of the robots from a robot controller; (b) generating preventive measure information which is related to a management state of the robot and predictive measure information which is related to a process capability of the robot and a state change pattern of the robot by analyzing the state information of each of the axes of the robot; and (c) transmitting the preventive measure information of each of the axes and the predictive measure information of each of the axes to a manager terminal of the factory.

An electromechanical servo gauge includes a displacer on a wire from a drum for causing a torque on the drum, a servo motor coupled by a drive shaft for rotating the drum, wherein a change in a liquid level moves the ESG out of balance, and a force transducer is positioned for measuring the torque on the drum and converting the torque into a physical quantity. The processor implements an automatic friction determination algorithm. A first move moves the displacer in a first direction for 1 motor step(s) to a first position and first physical quantity data including a first physical quantity (Q1) is measured by the transducer. Second moving moves the displacer in an opposite direction 1 step(s) to reach a second displacer position and second physical quantity data including a second physical quantity (Q2) is measured. A hysteresis measure is determined from the first and second physical quantity.