This disclosure relates to an implement, in particular crane or excavator, comprising a drive, a control unit, a measuring device and a memory. A component of the implement can be moved by means of the drive, wherein the drive can be actuated via the control unit. The measuring device can detect an actual variable relating to a movement of the driven component. In the memory, at least one characteristic curve for the actuation of the drive is stored. On the basis of a detected deviation, the control unit according to the disclosure can independently adjust the characteristic curve stored already or generate a new characteristic curve and store the same in the memory. The disclosure furthermore relates to a method of actuating a drive of such an implement.

A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.

Methods, apparatus, systems, and articles of manufacture to obtain diagnostic information for a system are disclosed. An example apparatus includes vehicle interface circuitry to obtain information corresponding to a detected problem of a vehicle, cloud interface circuitry to obtain, via a network communication, an output of a machine learning model executed based on the information, the output to indicate (a) a component associated with the detected problem, and (b) a probability associated with the component, instruction generation circuitry to generate instructions for performing a test on the component, and user interface control circuitry to cause the instructions to be displayed on a mobile device.

An agricultural work vehicle according to an aspect of the invention that can monitor a state of the agricultural work vehicle when the agricultural work vehicle performs agricultural work using a working machine which is attached thereto includes: a vehicle body; a working machine that is attached to the front or rear of the vehicle body and performs agricultural work; an engine that generates a driving force for movement of the vehicle body and work of the working machine; and a monitoring device that determines at least one of whether there is an abnormality in a temperature of a coolant for cooling the engine, whether there is an abnormality in a pressure of an engine oil supplied to the engine, and whether there is an abnormality in the engine when the working machine performs work using the driving force.

Provided is a data transmission system for a work machine, including: a customization definition receiving unit configured to receive customization definition information indicating the contents of processing on data collected from the work machine and a validity period of the processing, and a transmission unit configured to transmit to an external device, the data in accordance with the contents of the processing in the validity period indicated by the received customization definition information.

A reproduction device includes an acquisition unit, a reception unit, a reproduction unit, and an estimation unit. The acquisition unit acquires log information of a work machine, which is associated with time. The reception unit receives a reproduction instruction for an operation of the work machine. The reproduction unit reproduces the operation of the work machine, by sequentially applying angle information of the work machine that is included in the log information, to a work machine model in a case of receiving the reproduction instruction. The estimation unit estimates a work content of the work machine at each time, based on the log information.

A control system is provided with a position detection device which detects a position of a work machine, a contactless sensor which detects an object around the work machine in a contactless manner, a position calculation unit which calculates a position of the work machine on the basis of at least map data indicating a position of the object and detection data of the contactless sensor, and a diagnosis unit which compares the position of the work machine derived from detection data of the position detection device and the position of the work machine calculated by the position calculation unit and diagnoses that there is an abnormality in either the detection data of the position detection device or a calculation result of the position calculation unit.

A mineral processing system featuring a controller having a signal processor or processing module configured to: receive signaling containing information about a relationship between multiple particle size measurements of different measured particles having different measured particle sizes flowing in a hydrocyclone classifier overflow stream sensed by at least one particle size measurement device arranged on a hydrocyclone classifier overflow pipe of at least one hydrocyclone in a hydrocyclone battery, and about a floatable fraction that defines a particle size range of different floatable particle sizes of different floatable particles that can be recovered by the at least one hydrocyclone in the hydrocyclone battery; and determine corresponding signaling containing information to control a ground product size of ore having ground particles provided to the at least one hydrocyclone in the hydrocyclone battery, based upon the signaling received.

An excavator attachment is attached to a rotating platform of an excavator. A display unit visually displays a predicted stability indicating stability of the posture of the excavator after the excavator is manipulated.

A system for determining a priority of monitoring a machine is provided. The system includes a data acquisition module disposed in communication with a sensor. The data acquisition module is configured to generate data based on at least an operational parameter associated with the machine. The system further includes a server configured to determine a first factor indicative of a rate of usage of the machine, a second factor indicative of a number of exceptions of the machine at corresponding severities, a third factor indicative of a risk of unscheduled downtime of the machine, a fourth factor indicative of a distance from a preventive maintenance of the machine, a fifth factor indicative of an importance of a sub-system of the machine, and the priority of monitoring the machine based on at least the first factor, the second factor, the third factor, the fourth factor and the fifth factor.