A diagnosis device stores a model used for diagnosing the condition of an industrial machine in a storage unit, acquires data related to the condition of the industrial machine, and based on the acquired data, determines the condition of the industrial machine by using the model stored in the storage unit. Then, in response to detecting that a component of the industrial machine has been replaced based on the acquired data and the data related to the determined condition of the industrial machine, the diagnosis device adapts the model stored in the storage unit to the condition of the industrial machine whose component has been replaced.

A technique for analyzing Quality of Experience, QoE, of a delay critical robotic application in a cloud robotics system is disclosed, the robotic application involving use of a cloud based service by a robot, the service being provided to the robot from a cloud using a connection over a mobile communication network. A method implementation of the technique comprises triggering (S202) determining whether a QoE measure associated with the robotic application exceeds a threshold to assess whether QoE degradation is present, and, when it is determined that QoE degradation is present, triggering (S204) identifying a root cause for the QoE degradation based on one or more performance indicators observed within the mobile communication network and associated with the connection.

The progress of deterioration of a manufacturing facility is prevented while keeping KPI within an allowable range. A facility diagnosis device includes a deterioration prevention mode definition storage unit that stores information including an operation control method for preventing deterioration of a manufacturing facility or a portion thereof for each of predetermined deterioration prevention modes; a KPI calculation unit that calculates a predetermined KPI by using a deterioration degree predicted for each of the deterioration prevention modes for the manufacturing facility or the portion of the manufacturing facility, and determines whether the KPI satisfies a predetermined condition; a deterioration prevention determination unit that determines a deterioration prevention mode that should be executed from a satisfaction determination result; and a control information output unit that outputs control information on the manufacturing facility or the portion of the manufacturing facility according to the deterioration prevention mode that should be executed.

A system and method for adaptive diagnostics and data collection in a connected robot-cloud environment allows for the management and use of date from a robot or fleet of robots to ensure the efficient utilization thereof. The data is collected from the robots via a software agent and is transmitted to an interface that allows action from an end-user.

A lifetime estimation device for a robot including a linear-motion mechanism including a guide member and at least one slider moving along the guide member includes: a load calculation unit that calculates, at predetermined time intervals, a load acting on each slider on a basis of a program for operating the robot and geometric parameters of the robot and a load mounted on the robot; a travel-distance calculation unit that calculates travel distances of the slider at the time intervals; a lifetime calculation unit that calculates a lifetime of the linear-motion mechanism on a basis of the loads calculated by the load calculation unit and the travel distances calculated by the travel-distance calculation unit; and a display unit that displays the calculated lifetime.

An augmented reality (AR) system for diagnosis, troubleshooting and repair of industrial robots. The disclosed diagnosis guide system communicates with a controller of an industrial robot and collects data from the robot controller, including a trouble code identifying a problem with the robot. The system then identifies an appropriate diagnosis decision tree based on the collected data, and provides an interactive step-by-step troubleshooting guide to a user on an AR-capable mobile device, including augmented reality for depicting actions to be taken during testing and component replacement. The system includes data collector, tree generator and guide generator modules, and builds the decision tree and the diagnosis guide using a stored library of diagnosis trees, decisions and diagnosis steps, along with the associated AR data.

A motor control angle sensor includes a sensor that outputs a signal according to driving of a motor, an arithmetic processing unit, a motion history temporary memory unit, and a motion history storage unit, wherein the arithmetic processing unit generates position information data containing a position of the motor acquired based on the signal output from the sensor and a time when the position is acquired, repeats processing of storing the generated position information data in the motion history temporary memory unit, and, when an abnormality is sensed or a signal reporting an abnormality is received from an external apparatus, stores the position information data stored in the motion history temporary memory unit in the motion history storage unit.

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.

Operation information on a robot is recorded in a temporary data recorder continually only for a predetermined period. The operation information for one cycle during a normal operation of the robot is retrieved from the temporary data recorder, and is recorded in a normal-state data recorder. If a storage control section determines that a predetermined trigger condition has occurred, some pieces of the operation information recorded in the temporary data recorder are recorded in the trigger-state data recorder. An operation information display displays the operation information in a normal state and the operation information in a trigger state so that these pieces of the operation information can be compared with each other.

An example diagnosis system determines a state of a target device that includes a work apparatus. The diagnosis system includes circuitry that is configured to acquire first data generated in response to operating the work apparatus at a first pressure, configured to acquire second data generated in response to operating the work apparatus at a second pressure, configured to calculate a feature quantity indicating a relation between the first data and the second data, and configured to determine the state of the target device based on the feature quantity.