Abstract: Systems and methods including an additive component; a subtractive component; and a processor configured to: receive a contact line associated with a support structure from the additive component; receive geometry associated with an orientation from the additive component; receive data associated with a tool from the subtractive component; generate a subtractive tool path based on the received contact line, the received data associated with the tool, and the received geometry; transmit the generated subtractive tool path to the analysis component for processing tool path validation; and validate, by the analysis component, the tool path based on output from a simulation component to determine whether removal of the support structure from a part is successfully computed by the subtractive component.

Abstract: A machine learning device for performing machine learning with respect to a numerical control device which causes a machine tool to operate, and is provided with: a state information acquisition unit that causes the machine tool to perform cutting work, in which a cutting amount and a cutting rate are set, and acquires state information including the cutting amount and cutting rate; an action information output unit that outputs action information; a reward calculation unit that acquires determination information that is information about the strength of pressure applied to a tool at least during cutting work, the shape of the waveform of the pressure applied to the tool, and time it has taken to perform work, and outputs a reward value in reinforcement learning; and a value function update unit that updates a value function on the basis of the reward value, the state information, and the action information.

Abstract: A method of metal additive manufacturing includes generating a plurality of laser beams and directing the plurality of laser beams to selected portions of a surface of a powder bed of powdered metal. The method also includes monitoring the powder bed while performing the generating and directing, and adjusting at least one of the generating or directing based on the monitoring.

Abstract: 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.

Abstract: In one example in accordance with the present disclosure, a method is described. According to the method, a characteristic of each of multiple three-dimensional (3D) objects to be printed is determined. 3D objects to be printed are grouped based on characteristic similarity. For a group of 3D objects to be printed, an additive manufacturing setting is altered based on the characteristics of the 3D objects to be printed that form the group.

Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

Abstract: A temperature control system includes: first adjusting the temperature of fluid in a first portion the fluid having a first temperature determined based on a second temperature higher than the first temperature or the second temperature; second adjusting the temperature of the fluid supplied to a target at a second portion between the first portion and the target; first detecting the temperature of first fluid supplied from the first to second portion; second detecting the temperature of the fluid or the target at a predetermined position between an outlet of the second portion and an inlet of the first portion; controlling the first adjusting based on the first detected value such that the temperature of the first fluid becomes a first temperature; and controlling the second adjusting based on a the second detected such that the temperature of the fluid becomes a second temperature at the predetermined position.

Abstract: A method of monitoring an industrial plant, implemented by an apparatus, includes receiving operational data from each of a plurality of electric drives via a corresponding communication interface. The method further includes converting the operational data from a pre-determined data format to a machine-readable data format and determining a plurality of events for each of the plurality of drives based on the corresponding machine-readable data. The method includes determining a plurality of critical events corresponding to the plurality of drives based on the plurality of events and generating a recommendation based on at least one of the plurality of critical events. The method also includes presenting the recommendation on an output device in a human readable format.

Abstract: In production management systems, management devices includes a management device of a pre-process which adds a hash value of a production condition information received from a preceding process and a hash value calculated from the production condition information of the pre-process to calculate a first hash value and transmit the production condition information of the pre-process and the first hash value to a management device of a current process, and the management devices includes a management device of a current process which calculates a second hash value from production condition information received, calculates a third hash value obtained by subtracting the second hash value from the first hash value.

Abstract: There is provided a learning processing apparatus comprising: a learning processing unit configured to generate a control model that outputs a manipulated variable corresponding to an indicated variable and a process variable of a predetermined system by means of machine learning; a generation unit configured to generate controlling data that indicates a correspondence relation of a combination of the indicated variable and the process variable to the manipulated variable corresponding to the combination by using the control model; and a supply unit configured to supply the controlling data to a predetermined control apparatus.

Abstract: A method for optimizing the occupancy of magazine spaces by tools within at least one tool magazine for a machine tool in a computer-supported manner is provided. One or more workpieces of one or more workpiece types is produced using the tools supplied by a magazine device at a supply area, having the following steps: a-i) detecting a number of workpieces, magazine spaces, a number of tools, required space, allowable magazines spaces for each tool, allowable starting magazine occupancy, a sequence of work steps to be carried out by the machine tool on a workpiece, work step time periods required to carry out each individual work step on the workpiece, one or more supply time periods depending on the sequence of the work steps to be carried out, and j) optimizing the occupancy of the magazine spaces by tools.

Abstract: Provided are embodiments of systems, devices and methods for improved optimization of FHC using a swarm optimization based intelligent scenario selection from local search (small step) and global search (large step) experiences for faster and better FHC.

Abstract: A method and apparatus for designing and manufacturing a component in a computer-aided design and manufacturing environment is disclosed. A method includes obtaining a geometric model of a component from a geometric model database, and determining at least one orientation parameter value associated with the geometric model of the component. The at least one orientation parameter value is associated with an orientation parameter that defines orientation of the component during additive manufacturing of the component. The method includes performing volumetric analysis of the component based on the at least one orientation parameter value associated with the component using the geometric model of the component.

Abstract: The aim of the invention is rapid automatic tuning the parameters of a digital proportional-integral-derivative (PID) controller by analog feedback of an actual value for automation of technological processes with programmable logic controllers (PLCs). The proposed invention is based on the use of nine tuning equations derived by reverse engineering of a PID controller. Adjusting the PID controller parameters Kp, Ki and Kd is performed in a closed control loop with negative feedback separately in time, i.e. independently of each other in iteration steps k for Kp, m for Ki and n for Kd (see FIG. 1). The adaptive tuning method is compact, independent of other methods and algorithms, mathematically balanced (i.e. minimal computational resource requirements), and easy to implement. Setting up a PID controller by this method does not require a preliminary evaluation of a controlled system and the creation of its mathematical model. This implies its universal applicability.

Abstract: The invention relates to: a method for monitoring a process engineering installation, in which a model of the process engineering installation is used to ascertain values of at least one performance parameter of the process engineering installation from actual values of at least one operating parameter of the process engineering installation that occur during operation of the process engineering installation, wherein the model is used to ascertain comparison values of the at least one performance parameter of the process engineering installation from setpoint values of the at least one operating parameter, and wherein mutually corresponding values and comparison values of the at least one performance parameter are taken as a basis for ascertaining at least one performance gap in the operation of the process engineering installation and to a process engineering installation.

Abstract: A method for automating a die fabrication process includes obtaining, by one or more controllers, die sensor data from one or more die sensors and image data from one or more image sensors, generating, by the one or more controllers, a command to perform one or more machining tool operations based on the die sensor data and the image data, and controlling, by the one or more controllers, a machining tool to perform the one or more machining tool operations. The method includes selectively adjusting, by the one or more controllers, a position of a robotic arm based on the one or more machining tool operations and training an artificial intelligence system to autonomously perform the die fabrication process based on the one or more machining tool operations, the position of the robotic arm, the image data, the die sensor data, or a combination thereof.

Abstract: Provided is a system and method that can determine the timing and sequence of transmission assets on a power grid to be outaged and/or restored based on severe weather. In one example, the method may include selecting a group of transmission assets of a power grid for outage, receiving forecasted weather conditions for a geospatial area that includes the group of transmission assets, determining an outage time and priority among the group of transmission assets based on geospatial locations of the forecasted weather conditions and geospatial locations of the group of transmission assets, and generating a sequence of instructions for powering down the group of transmission assets based on the determined outage time and priority among the group of transmission assets and storing the sequence of instructions in memory.

Abstract: The present invention provides a magnetic field control device and a magnetic field control method for a synchronous machine, which can fundamentally cope with the problem of the lack and fluctuation in the voltage maintaining ability from a point of view of a power generation of a power system. A magnetic field control device of the present invention is a device for a synchronous machine that controls a magnetic field of the synchronous machine connected to a power system. The magnetic field control device comprises a magnetic field control system operating electric current flowing through a magnetic field coil of the synchronous machine; a regulator of the magnetic field control system; and a compensation circuit variably regulating a control constant of the magnetic field control system according to a magnitude of magnetic field current or an equivalent of the magnetic field current.

Abstract: Controlling heating and cooling in a conditioned space utilizes a fluid circulating in a thermally conductive structure in fluid connection with a hydronic-to-air heat exchanger and a ground heat exchanger. Air is moved past the hydronic-to-air heat exchanger, the air having fresh air supply and stale air exhaust. Sensors located throughout the conditioned space send data to a controller. User input to the controller sets the desired set point temperature and humidity. Based upon the set point temperature and humidity and sensor data, the controller sends signals to various devices to manipulate the flow of the fluid and the air in order to achieve the desired set point temperature and humidity in the conditioned space. The temperature of the fluid is kept less than the dew point at the hydronic-to-air heat exchanger and the temperature of the fluid is kept greater than the dew point at the thermally conductive structure.

Abstract: A method for controlling an energy storage system (ESS) and devices performing the method are disclosed. A method for controlling an ESS according to example embodiments, the method includes an operation of analyzing energy information of an area for which a peak power load is to be calculated received from a plurality of clients included in the area, an operation of generating, based on an analysis result, scheduling control information for controlling the ESS connected to the plurality of clients on a daily basis, an operation of determining, based on the scheduling control information, whether to generate real-time control information for controlling the ESS on a basis of a predetermined control time period, and an operation of correcting, based on the real-time control information, the scheduling control information.