Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.

Abstract: A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system, determine context information based on a sensory dataset and representative of an environmental condition, predict an intent of a user to complete a task associated with the industrial automation system based on the sensory datasets and the context information, present first output representative data via an extended reality device based on the intent and a setting, the setting including a data presentation format for presenting the sensory datasets, receive inputs indicative of changes to the data presentation format, present second output representative data via the extended reality device in response to receiving the inputs, and update the setting based on the inputs and historical data indicative of users changing the data presentation format of the first output r

Abstract: Data reduction services are implemented on one or more nodes of an IIoT data pipeline to intelligently determine an appropriate data reduction strategy based on characteristics of the incoming data. In one or more embodiments, data reduction components on the pipeline node or on an edge device define different data filtering rules or algorithms that are selectively applied to streaming time-series data based on a probability distribution of the data. The data pipeline node performs real-time distribution analysis on the streaming data to determine whether the data has a unimodal distribution, a multimodal distribution, or no mode, and selects one of the data filtering rules based on this determined probability distribution. In this way, the data is intelligently reduced in a manner that retains critical information within the reduced data set while achieving a high level of data reduction.

Abstract: A system has a DC bus circuit with first and second terminals, an intermediate node, first and second capacitors, first and second depletion mode FETs, and first and second switching control circuits, where the first depletion mode FET has a drain coupled to the first bus terminal, a source, and a gate coupled to the intermediate node, the second depletion mode FET has a drain coupled to the intermediate node, a source, and a gate coupled to the second bus terminal, the first switching control circuit turns the first depletion mode FET off responsive to a first capacitor voltage of the first bus capacitor being less than or equal to a second capacitor voltage of the second bus capacitor, and the second switching control circuit turns the second depletion mode FET off responsive to the first capacitor voltage being greater than or equal to the second capacitor voltage.

Abstract: Protective cover devices for associated electrical connectors include a one-piece molded polymeric body including at least one of: (i) at least one stud that is closely slidably received into a corresponding socket of the connector; (ii) a skirt that comprises a recess that receives at least part of the electrical connector therein. The protective cover device is adapted to be engaged with the associated electrical connector to inhibit contact between a surrounding corrosive atmosphere and at least one electrical contact of the associated electrical connector.

Abstract: An industrial IDE supports development of control programming using an industrial domain-specific language (DSL) that allows control programming to be written using a scripted programming language having features catered to the industrial domain. The industrial DSL can simplify and streamline development of industrial control code relative to using conventional graphics-based control programming formats such as ladder logic, since a script-based industrial DSL can be used to write programming code using fewer mouse clicks relative to traditional control programming environments. Editing tools inherent to the industrial DSL can provide dynamic programming feedback that guides the developer through the process of developing control code. The industrial IDE can also provide tools that extend the platform to users who wish to customize the industrial DSL to suit their preferred programming approaches.

Abstract: A system includes a motor configured to be coupled to a non-rigid load and a control system disposed within, or communicatively coupled to, a drive system configured to control an operation of the motor. The control system includes a processor and a memory accessible by the processor. The memory stores instructions that, when executed by the processor, cause the processor to generate a smooth move input profile to control the operation of the motor based on inputs specifying a desired operation of the motor, apply a notch filter having a notch filter frequency to the smooth move input profile to produce a filtered smooth move input profile, and send a command to the drive system based on the filtered smooth move input profile, wherein the command is configured to adjust the operation of the motor.

Abstract: An industrial integrated development environment (IDE) provides a development framework for designing, programming, and configuring multiple aspects of an industrial automation system using a common design environment and data model. Projects creating using embodiments of the IDE system can be built on an object-based model rather than, or in addition to, a tag-based architecture. To this end, the IDE system can support the use of automation objects that serve as building blocks for this object-based development structure. To ensure consistency within and between projects, as well as to ensure that a given industrial project is dynamically updated to reflect changes to an industrial asset's attributes (e.g., control code, visualization definitions, testing scripts, analytic code, etc.), embodiments of the IDE system can use automation object inheritance features to propagate changes made to an automation object definition to all instances of the automation object used throughout a control project.

Abstract: A method for generating a report regarding prioritizations of industrial automation devices in an industrial system may include determining a first score for each of the industrial automation devices. The first score represents a relative importance of each of the industrial automation devices. The method may also include determining a second score for each of one or more parts of each of the industrial automation devices. The second score represents a relative importance of each of the parts with respect to each other. The method may also include generating the report comprising the parts, the industrial automation devices, the first score for each of the industrial automation devices, the second score for each of the parts, or any combination thereof, wherein the report is organized according to the first score, the second score, or based on a combination of the first score and the second score.

Abstract: A data pipeline configuration system allows industrial data pipelines to be configured using an intuitive visual interface. The pipeline configuration system allows graphical pipeline components representing data sources, data processing, analytic or machine learning models, and emitters to be selectively added to an industrial data pipeline application by selecting these components from a library. The pipeline configuration application is created by arranging and linking these selected pipeline components within a pipeline builder section of the configuration system's visual design interface. The design interface also allows analytic or machine learning models to be easily integrated into the pipeline application and mapped to incoming data items, such that the model is applied and scored against incoming data during pipeline operation.

Abstract: A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform.

Abstract: A monitor provides run time monitoring of the input values to a signature analyzer having a machine-learning engine to compare statistics measuring the domain of those input values to the domain of input values used in the training set of the machine-learning engine. This comparison yields an indication of whether retraining of the machine-learning engine is required without analysis of the output of the machine-learning engine algorithm or the need for errors to become manifest.

Abstract: In certain embodiments, a method includes formulating an optimization problem to determine a plurality of model parameters of a system to be modeled. The method also includes solving the optimization problem to define an empirical model of the system. The method further includes training the empirical model using training data. The empirical model is constrained via general constraints relating to first-principles information and process knowledge of the system.

Abstract: A functional safety system performs safety analysis on three-dimensional point cloud data measured by a time-of-flight (TOF) sensor that monitors a hazardous industrial area that includes an automation system. To reduce the amount of point cloud data to be analyzed for hazardous conditions, the safety system executes a real-time emulation of the automation system using a digital twin and live controller data read from an industrial controller that monitors and controls the automation system. The safety system generates simulated, or shadow, point cloud data based on the emulation and subtracts this simulate point cloud data from the measured point cloud data received from the TOF sensor. This removes portions of the point cloud data corresponding to known or expected elements within the monitored area. Any remaining entities detected in the reduced point cloud data can be further analyzed for safety concerns.

Abstract: A device includes an armature, a coil, and a circuit. The armature is configured to move between a close position that electrically couples the armature to a contact and an open position that is not electrically coupled to the contact. The coil is configured to release a voltage configured to de-magnetize the coil, thereby causing the armature to move from the close position to the open position. The circuit is configured to provide reverse driving current to the coil during a period of time when the armature moves from the close position to the open position.

Abstract: A design and testing simulation scales an industrial simulation across multiple different processing nodes, and generates a unified view of the distributed industrial simulation based on simulation and graphics data collected from the multiple processing nodes. The system can allow the user to designate different portions of the a digital model of an automation system to be executed on respective different distributed processing nodes, such that each portion of the model is executed on its designated node and the nodes exchange data as necessary to simulate the aggregate automation system as a whole. In order to visualize this aggregated simulation, the design and testing system unifies the distributed portions of the model into a unified three-dimensional presentation at a single node, and this unified view is animated based on data received from the nodes on which the distributed simulation is executed.

Abstract: A motor control center (MCC) for an industrial system includes a plurality of sections and a safety bus. Each section includes one or more units. Each unit includes one or more industrial control devices. The safety bus is configured to receive safety signals from a safety distribution unit and delivers the safety signals to each unit of the plurality of section.

Abstract: For machine learning data reduction and model optimization,a method randomly assigns each data feature of a training data set to a plurality of solution groups. Each solution group has no more than a solution group number k of data features and each data feature is assigned to a plurality of solution groups. The method identifies each solution group as a high-quality solution group or a low-quality solution group. The method further calculates data feature scores for each data feature comprising a high bin number and a low bin number. The method determines level data for each data feature from the data feature scores using a fuzzy inference system. The method identifies an optimized data feature set based on the level data. The method further trains a production model using only the optimized data feature set. The method predicts a result using the production model.

Abstract: A safety system for autonomously mobile machinery (e.g., automated guided vehicles) achieves safety-rated collision avoidance functionality by detecting objects located in the field of view of a three-dimensional (3D) time-of-flight (TOF) vision system or camera. Incorporating a 3D TOF camera into a collision avoidance system allows a large volume to be monitored for object intrusion, improving reliability of object detection. To ensure reliability of the safety system's obstacle detection capabilities, the collision avoidance system also includes self-diagnostic capabilities that verify the accuracy of the TOF camera's distance measurements even in the absence of a test object within the camera's field of view. This is achieved by tilting the TOF camera downward to include the floor within the camera's field of view, allowing the floor to act as a test object that can be leveraged to verify accuracy of the camera's distance measurements.