Abstract: A method for diagnosing a fault in an electric power distribution network includes measuring three-phase current signals from local and remote terminals of a protected zone on the network, and computing differential current signals based on the measured three-phase current signals. The differential current signals are preprocessed using a filter to smooth the differential current signals. A maximal overlap discrete wavelet transform is applied on the smoothed differential current signals to obtain a plurality of detail coefficients. Observation signals comprising the plurality of detail coefficients are provided to a deep reinforcement learning (DRL) agent comprising a temporal convolution attention-based neural network (TCAN). The TCAN DRL agent is trained using a proximal policy optimization (PPO) method to propose a trip action corresponding to a trip or no trip command for a fault condition. Responsive to receiving a trip command, a trip signal is transmitted to a circuit breaker.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing platform offers a variety of industrial applications to end customers—including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM)—and implements associated architectural features that address a number of issues relating to data sharing, security, scalability, and other concerns.

Abstract: A method for teaching a planar transport device, in which an operating behavior of at least one handling element of the planar transport device, which is configured as an electrodynamically movable mover and is configured for handling products, is taught by an operator interaction of an operator, which is designed differently from a manual writing of a programming command. The operator interaction takes place directly, preferably free of an additional operator input device, at the handling element in order to specify the operating behavior of the handling element.

Abstract: Approaches for controlling operations of a sucker rod pump system of a production well that produces reservoir fluids from a reservoir, which employs a gateway device disposed at a wellsite corresponding to the well and a cloud-computing system operably coupled to the gateway device. The gateway device may communicate time-series operational data characterizing operation of the sucker rod pump system to the cloud-computing system. The cloud-computing system can receive and store the time-series operational data communicated from the gateway device and repeatedly perform operations that i) process the time-series operational data to train a machine learning model that predicts run time of the sucker rod pump system given feature data extracted the time-series operational data and ii) use the resultant machine learning model to determine new operating parameter data for use in controlling the sucker rod pump system, wherein the new operating parameter data maximizes production from the well.

Abstract: A device and method for analyzing a technical system or process that includes a first function and a second function. A first model models a functional relationship of input and output variables of the first function and an influence of a first disturbance variable. The second model models a functional relationship of input and output variables of the second function and an influence of a second disturbance variable. An observation is provided that includes input variables and output variables of the first function and of the second function. A prediction regarding an effect of changing the first function under the influence of the first disturbance variable and/or changing the second function under the influence of the second disturbance variable is determined, and of these functions, that function whose change has a higher likelihood of achieving a desired effect is selected.

Abstract: The present technology relates to artificial intelligence assisted device troubleshooting. In an implementation, an interface service of a human machine interface application trains a machine learning model on the content of an embeddings database. The interface service then receives an input comprising a context of an automation system design. The interface service generates a prompt that includes an instruction for the ML model to identify an anomaly type associated with the context of the automation system design and to generate a solution that addresses the anomaly type. The interface service transmits the prompt to the ML model and receives a response from the ML model that includes the anomaly type and the requested solution. After receiving a response, the interface service may modify the automation system design based on the content of the response and surface a graphical user interface that includes the modified design.

Abstract: Exemplary embodiments are disclosed of controllers with machine learning and systems including the same. In exemplary embodiments, a controller is configured to include or be operable for executing a machine learning process during which the controller learns normal level(s) of parameter(s) (e.g., system component(s) and/or sensor(s) parameters, etc.) to be monitored across a full operational range of a system component, which, in turn, enables the controller to compare the monitored parameter(s) to the learned normal level(s) for detection of issue(s) or problem(s) associated with the monitored parameter(s), e.g., regardless of the RPM at which the engine, machine, motor, or other system component is operating, etc.

Abstract: A numerical control apparatus 3 comprises: a pulse generation unit 34 that moves a plurality of machine elements of a machine tool 2 along a plurality of control axes on the basis of a movement pulse for the machine tool 2; an interference checking unit 36 that performs interference checking calculation for a plurality of interference-checking subject sets; and an interference checking assistance device 5 that assists the interference checking calculation. The interference checking assistance device 5 comprises: a first storage unit 51 that stores machine element-control axis linkage information; a second storage unit 52 that stores individual axis subordinate relationship information; and a checking subject set extraction unit 54a that, on the basis of the movement pulse, the machine element-control axis linkage information, and the individual axis subordinate relationship information, extracts one or more checking subject sets from among all combinations of the machine elements.

Abstract: An information processing system includes: a vehicle that can feed power to outside; a plurality of off-grid terminals that each manage power of a corresponding one of a plurality of off-grid areas; and a server. The server transmits information of the plurality of off-grid areas to the vehicle, and when information of a selected area selected by a user of the vehicle from the plurality of off-grid areas is received from the vehicle, the server performs a matching process for matching the vehicle and the selected area with each other, and transmits, to the vehicle, information instructing to feed power to the selected area.

Abstract: An operating method of an electronic device includes receiving a request to control of at least one application that is providable by the electronic device, obtaining second information according to a machine learning model based on first information corresponding to a history of use regarding the at least one application and at least one support element. The machine learning model predicts at least a probability of use of the at least one support element which supports execution of the at least one application based on the first information, and the method executes a function corresponding to the request to control the at least one application to be provided by the electronic device, based on the second information including at least the probability of use of the at least one support element which supports the execution of the at least one application.

Abstract: Provided is a work machine and a work machine management system that enable more appropriate transmission of information of a high-priority work machine even when there is a large number of work machines. A work machine 10 comprises an information controller 20. The information controller 20 acquires operation information of the work machine 10; receives management server information from a management server 90 provided outside the work machine 10; determines a transmission priority order of the operation information based on content of the operation information and the management server information; and transmits the operation information to the management server 90 or a relay 80 according to the transmission priority order.

Abstract: The objective of the present invention is to provide a tool measuring system, a control method, and a program with which it is possible for a cutting tool to be measured easily. This tool measuring system is provided with: a tool measuring device; a tool moving unit; a tool measuring unit; a tool correcting unit for feeding back the measured tool length and tool diameter of the cutting tool to a tool diameter correction number and a diameter correction number of the cutting tool; and a program computing unit for computing the operations of the tool measuring device, the tool moving unit, the tool measuring unit, and the tool correcting unit as instructions operable by the machine tool from a one-line control program in order to instruct the machine tool.

Abstract: The present invention is to determine allocation of filters in such a manner as to satisfy a restriction for the number of filters while realizing suppression of resonance. The present invention provides a control assistance device assisting in setting a plurality of first filters provided in a servo control device controlling a motor, the control assistance device including: a resonance detection unit for detecting a plurality of resonance points in frequency characteristics including input-output gain and input-output phase lag of the servo control device, the frequency characteristics being measured on the basis of an input signal and an output signal having a varying frequency; a filter setting unit for setting a plurality of second filters the number of which is larger than the number of said plurality of filters in order to suppress the plurality of resonance points; and a grouping unit for grouping the plurality of second filters to set the plurality of first filters.

Abstract: A method includes identifying a material associated with a substrate processing operation of a recipe. The method further includes determining an expected total residual thickness value subsequent to the substrate processing operation. The method further includes determining, based on the expected total residual thickness value, an expected material thickness value of the material associated with the substrate processing operation. The method further includes updating the recipe based on the material and the expected material thickness value of the material to generate an updated recipe. The method further includes causing a substrate to be processed based on the updated recipe.

Abstract: An information processing device keeps a plurality of sets of designing information each on a combination of a plurality of plant devices that execute an operation a plant and at least one control device that executes control on each of the plant devices, keeps operational past records with respect to each combination of a plurality of plant devices and a control device, extracts combinations of a plurality of plant devices and a control device that meet a designing condition on the plant based on the designing information, and outputs the extracted combinations of a plurality of plant devices and a control device based on the operational past records.

Abstract: A controller includes a setting information storage unit that stores at least a folder search priority order setting defining an order of priority in which folders are searched when a program is called, a call information storage unit that stores call information, which is information relating to a correspondence relationship between a call source program and a call destination program among programs stored in advance in a program storage unit, a call information generation unit that generates call information when there is a possibility that the correspondence relationship between the programs has changed, and a call information determination unit that determines whether or not the correspondence relationship between the programs has changed by comparing the call information generated by the call information generation unit with the call information stored in the call information storage unit.

Abstract: Industrial automation data quality and analysis (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that retrieves industrial data from an industrial device represented in an industrial asset model, wherein the industrial data comprises control data applicable to the industrial device and timestamp data generated by the industrial device concurrently with the control data, a quality component that, based on the control data and the timestamp data, determines a quality indicator applicable to the control data, and an output component that, based on the quality indicator, generates an output representative of a quality of the control data.

Abstract: Provided is a method for load transfer for an open-loop power grid. The method includes: constructing a tree graph for the power grid based on power transmission among devices in the power grid; determining a target node representing a target device which triggers load transfer in the open-loop power grid; determining one or more target graphs; enumerating all transfer schemes for the target graphs based on the target graphs, and prioritizing the transfer schemes; and performing load transfer based on the prioritized transfer schemes.

Abstract: A state information handling server, a process control system including such a state information handling server as well as to a method, computer program and computer program product for handling state information. The state information handling server obtains state information from user terminals of users in the process control system, where the state information of at least two users includes information about user operations in relation to objects in a process control screen, inspects the state information with regard to objects in the process control screen, which inspecting includes determining, for each user, if the corresponding user targets an object in the process control screen, and performs a user informing activity if objects in the process control screen that at least two users have targeted is the same or are linked.

Abstract: A computer-implemented method may include analyzing a resource site based on a plurality of data inputs associated with operation of the resource site. The method may include predicting availability of power for the resource site from a renewable power generation source based on data from the data inputs and determining an operational target for the resource site for a determined future time period, where the operational target may include a power consumption target determined based on the predicted availability of power for the resource site from a renewable power generation source during the determined future time period. The computer-implemented method may further include performing real-time controls of power consumption at the resource site to meet the determined power consumption target for the determined future time period, where the real-time controls may include at least temporarily curtailing or modifying power usage of the resource site during the determined future time period.