Systems and methods are disclosed for asset health assessment and fleet management. An example method may include classifying a first power system asset into a first sub-system and a second sub-system. The example method may also include measuring, by a processor of a protection relay and from a first power system asset, electrical, thermal, and/or mechanical data associated with the first power system asset. The example method may also include identifying a first fault feature for the first sub-system, wherein the first fault feature is influenced by load oscillations in the first power system asset. The example method may also include comparing the first fault feature to a second fault feature of a third sub-system in a second power system asset, wherein the second fault feature is the same as the first fault feature, and wherein the second fault feature is not associated with load oscillations. The example method may also include adjusting a threshold value based on the comparison of the first fault feature to the second fault feature of the third sub-system. The example method may also include calculating, by the processor and for a first sub-system of the first power system asset, a first value based on the electrical, thermal, and/or mechanical data. The example method may also include calculating, by the processor, based on the first value, and using recent measurement data, a second value associated with the first sub-system. The example method may also include calculating, by the processor and using historical average data, a third value associated with the first sub-system. The example method may also include determining, by the processor and based on the second value and the third value, a fourth value associated with the first power system asset. The example method may also include determining, by the processor, that the fourth value is greater than a threshold value. The example method may also include generating, by the processor, a warning based on the determination that the fourth value is greater than the threshold value.

The present disclosure provides a motor control circuit enabled to change or adjust functions to be implemented to suppress an increase in cycle time during mass production. A motor control circuit according to an exemplary embodiment of the present disclosure is a motor control circuit to control a motor driver including a first non-volatile memory and a second non-volatile memory, and the first non-volatile memory stores a control algorithm and a first parameter group to be used by the control algorithm of the motor control circuit, and the second non-volatile memory is enabled to store a second parameter group to be used by the control algorithm.

A method for integration and coordination of measurement and/or control systems by means of a system that is based on a functional data structure, wherein the measurement and/or control systems to be integrated each generate or process data values for the data structure and can generate and modify data structure elements.

The method comprises generating a functional data structure with variables for mapping the data values of the measurement and/or control systems; describing the content of the variables by means of a set of defining attributes, wherein at least one attribute can contain variable references to other variables, in order to map networks of variables; creating a primary clone of a variable in the event that at least one of its defining variable attribute characteristics was changed by one of the integrated measurement and/or control systems; and creating machine clones of those variables that lie on dependent variable network paths of the primary cloned variables.

A movement controller of a machine uses in the context of processing a part program defining a useful processing action a parameter set having a plurality of parameters to determine, based on commands of the part program and actual values of a number of axes of the machine controlled by the movement controller, control commands for drives of the machine which are associated with the axes and to apply the determined control commands to the drives. A checking device checks the respective parameters for compliance with conditions defined by respective physical characteristics. In many cases, the checking device can determine the respective physical characteristics using other parameters of the parameter set.

A method of alarm of a screw-locking error includes retrieving a confidence interval of screw-locking parameter data of different screw specifications, setting locking parameter data of a screw-locking process according to a range of the confidence intervals, acquiring locking parameter data in real time, collating the acquired locking parameter data, analyzing the collated locking parameter data to obtain normal locking parameter data and abnormal locking parameter data, and analyzing the abnormal locking parameter data to obtain an error type of each abnormal locking parameter data. The abnormal locking parameter data and the corresponding error type of the abnormal locking parameter data are reported.

The present disclosure provides a motor control circuit enabled to change or adjust functions to be implemented to suppress an increase in cycle time during mass production. A motor control circuit according to an exemplary embodiment of the present disclosure is a motor control circuit to control a motor driver including a first non-volatile memory and a second non-volatile memory, and the first non-volatile memory stores a control algorithm and a first parameter group to be used by the control algorithm of the motor control circuit, and the second non-volatile memory is enabled to store a second parameter group to be used by the control algorithm.

A data processing device processes measurement data measured by a sensor that measures three-dimensional coordinates of a measurement object from a first position and a second position which are different. The data processing device includes a controller. The controller acquires measurement data of three or more planes of the measurement object from the sensor, the planes having different normal vectors. The controller finds, from the acquired measurement data, a transformation expression that integrates a coordinate system of the sensor at the second position into a coordinate system of the sensor at the first position.

A system with at least one control unit and a bearing arrangement that includes at least one sensor unit for measuring a quantity. The system is configured to find out with the help of the at least one sensor unit first values of the quantity in a first time span for a first set of instants of time. The system is further configured to infer second values of the quantity for a second set of instants of time from third values measured via the at least one sensor unit in a second time span. The first set of instants of time is different from the second set of instants of time.

A press and a process for operating it, has an upper tool and a lower tool for shaping a workpiece and a work unit including a press drive and/or a drawing device, is controllable by a controller, to perform the shaping process. The controller outputs, to the work unit, press process values, which define the sequence of events of the shaping process. Workpiece parameters characterize, for example, the material and/or the shape and/or at least one dimension and/or quality of the workpiece, which still has to be shaped or has already been shaped. The controller is assigned a composition matrix which contains, for each defined workpiece parameter and for each defined press process value, an individually changeable function, to describe the relationship between every one of the defined workpiece parameters and the defined press process values. This composition matrix allows a quick and rapid adjustment and adaptation of the press.

A sensor control method includes: obtaining first indication information, where the first indication information indicates a first scenario; determining a configuration parameter of at least one sensor based on the first indication information, where the configuration parameter is corresponding to the first scenario; and sending the configuration parameter to the at least one sensor. The sensor control method may be applied to automatic driving or intelligent driving, and may be specifically applied to assisted driving or unmanned driving. The sensor can be flexibly controlled through configurable parameters of sensors such as radar or a camera.