The present invention relates to an apparatus for determining the actual state and/or the remaining service life of structural components, for example large-diameter rolling bearings, of a work machine, in particular a construction machine, a material-handling machine and/or a conveyor machine, comprising a sensor system for acquiring state information relating to the structural component, and an analytical device for analyzing the acquired state information and determining the actual state and/or the remaining service life on the basis of a comparison with predetermined damage characteristics, wherein an active database device is provided for storing the damage characteristics, to which database device a determination device for determining the damage characteristics from design data of the structural component, and an adjustment device for adjusting the predetermined damage characteristics on the basis of the state and/or the remaining service life information determined by the evaluation device are connected.

A failure prediction method of predicting a failure of a component of a robot including a robot arm having the component and a detection section that detects information on vibration characteristics when the robot arm moves, includes generating a failure prediction model for prediction of the failure of the component by machine learning based on the information on vibration characteristics, and predicting the failure of the component based on an estimated value of failure prediction output by the generated failure prediction model when the information on vibration characteristics is input to the generated failure prediction model.

A joint of a robot comprises a servo motor, a speed reducer driven by the servo motor, and an output-side encoder for measuring a rotation angle of the output-side rotation shaft of the speed reducer, and the position/orientation of the robot is controlled by the joint. The present invention, which aims to be able to detect certainly and at a high speed the state of the speed reducer, is characterized by driving the joint via the speed reducer by rotating the servo motor, obtaining a resonance amplitude of the joint from the rotation angle obtained from the output-side encoder, and thus diagnosing the lifetime of the speed reducer according to the obtained resonance amplitude of the joint.

A servomotor control device includes: a servomotor; a driven body that is driven by way of the servomotor; a connection mechanism that connects the servomotor and the driven body to transmit power of the servomotor to the driven body; and a motor control unit that controls the servomotor, in which the motor control unit includes: a force acquisition section that acquires a drive force acting on the driven body at a connection part between the connection mechanism and the driven body; and a rigidity estimation section that estimates a magnitude of rigidity of the connection mechanism, based on position information of the servomotor and a drive force acquired by the force acquisition section when causing the servomotor to rotate in a state mechanically fixing the driven body.

A failure diagnosing device diagnoses failure of a plurality of reduction gears of a mechanical apparatus which includes a plurality of operation parts, a plurality of motors, and the plurality of reduction gears. The failure diagnosing device includes an acceleration/deceleration period identifying module configured to identify an acceleration/deceleration period of operation of one of the plurality of operation parts, a motor current processing module configured to acquire a peak value of an amplitude of a frequency component of motor current in a specific frequency band of one motor that drives the one operation part, in the acceleration/deceleration period, and a determining module configured to determine whether a sign of failure exists in one of the reduction gears.

An abnormality determining device includes: a current value detecting unit configured to detect a current value which is a value of a drive current of a motor; a variance ratio calculating unit configured to group time-series current values detected in time series by the current value detecting unit at a predetermined time interval, to calculate a variance value of the current values of each group, and to calculate a variance ratio of each group by dividing the variance value of the current values of the corresponding group by a variance value of a reference current value of the motor when a reduction gear is normal; and a determination unit configured to determine that the reduction gear is abnormal when the variance ratios calculated by the variance ratio calculating unit for all the groups are equal to or greater than a threshold value.

A failure diagnosis system includes: a sensor; an abnormality determination unit that determines whether an abnormality occurs in a diagnosis target device corresponding to the sensor on the basis of diagnosis target information detected by the sensor; a screen display controller that identifiably notifies a diagnosis target device for which it is determined by the abnormality determination unit that the abnormality occurs; a layout setting unit that sets a facility layout of a facility; and a disposition setting unit that sets a disposition of each diagnosis target device in the facility layout. The screen display controller identifiably notifies a diagnosis target device associated with a sensor that detects diagnosis target information that is a basis of the determination that the abnormality occurs, in a disposition screen display region 521 in which diagnosis information acquisition units are disposed on the facility layout.

The present invention enables to easily and accurately measure a joint of a robot apparatus, in particular, a lost motion of a driving system of the joint, and, to easily and accurately perform a diagnosis of a lifetime or a life expectancy of a joint mechanism of the robot apparatus based on a measured result.

The bearing life prediction device includes a pressure measuring unit that measures the pressure applied to a front bearing, a coolant pressure measuring unit that measures the pressure of a coolant liquid, a detecting unit that measures or predicts the rotation number and the temperature, a storage unit that stores model information and motor specification information in correlation, a specifying unit that inputs or selects the model information, and a bearing life prediction unit that predicts the life of the bearings on the basis of the motor specification information including the specification information of the bearings stored in the storage unit in correlation with the model information input or selected by the specifying unit, the pressure information of the coolant liquid, the pressure information applied to the front bearing, the rotation number information of the motor, and the temperature information of the bearings.

A tool management system of machine tools includes a reader, a receiver, a storage unit, a processor and a control unit. The reader is configured for reading at least one category parameter of the tool according to a tool index code of the tool. The receiver is configured for receiving real-time process information of the tool with a preset periodicity. The storage unit is configured for storing the tool index code, the category parameter, and the real-time process information. The processor is configured for processing a weighting algorithm to obtain a result according to the category parameter and the real-time process information. The control unit is configured for sending a control instruction according to the result.