Abstract: An example method comprises receiving historical sensor data of a renewable energy asset for a first time period, identifying historical log data in one or more log sources, retrieving dates of the identified historical log data, retrieving sequences of historical sensor data using the dates, training hidden Markov models using the sequences of historical sensor data to identify probability of shifting states of one or more components of the renewable energy asset, receiving current sensor data of a second time period, identifying current log data in the one or more log sources, retrieving dates of the identified current log data, retrieving sequences of current sensor data using the dates, applying the hidden Markov models to the sequences of the current sensor data to assess likelihood of the one or more faults, creating a prediction of a future fault, and generating a report including the prediction of the future fault.

Abstract: Systems, methods, and control units for diagnosis and life prediction of one or more electro-mechanical system are provided. One method includes receiving sensor data from a plurality of sensors associated with operation of the electro-mechanical system. The method includes determining at least one system response associated with at least one failure mode of the electro-mechanical system from the sensor data, wherein the sensor data is indicative of the at least one failure mode of the electro-mechanical system. The method further includes receiving at least one simulated response associated with the at least one failure mode of the electro-mechanical system, wherein the at least one failure mode is simulated on a system model of the electro-mechanical system.

Abstract: The speed and security of the monitoring the operation of a drive component is improved by transferring data relating to the drive component and/or to the operation of the drive component to a central IT infrastructure. Within the central IT infrastructure, the transferred data are associated with a first model of the drive component, and with a second model of at least one virtual component associated with the first model. An operating state of the drive component is determined from a correlation of the first and second models.

Abstract: A system and method are provided for determining a causal inference in a manufacturing process. During operation, the system can receive data associated with a processing system which includes a set of interconnected machines and an associated set of processes. The system can generate, based on the data, a graph indicating flows of outputs between the machines as part of the processes. The system can determine, based on a set of variables, one or more candidate clusters in the graph. The system can perform, based on one or more variables of interest, root cause analysis on the one or more candidate clusters by: applying an additive noise model to prune the one or more candidate clusters from the graph; and determining, based on the pruned graph, a candidate pathway likely to cause an issue in at least one process, thereby facilitating improved efficiency in the processing system.

Abstract: Computer implemented methods and systems incorporate physics-based and/or chemistry-based constraints into a model of a chemical, physical, or industrial process. The model is derived from a representative dataset of the subject process. The constrained model provides predictions of process behavior that are guaranteed to be consistent with incorporated constraints such as mass balances, atom balances, and/or energy balances while being less computationally intensive than equivalent first principle models. The constrained model can be constructed by matrix multiplication, namely multiplying the solution of an unconstrained linear model by a matrix that enforces the constraints. Improved process control models result, as well as improved process modeling and simulation models result.

Abstract: An electromechanical joining system that uses an output force or output torque for performing a joining method and includes an electrical drive connected for driving a screw drive and is configured for generating actual values of force or torque that are provided as input variables to a monitoring device. The system includes a sensor configured for measuring the course of the forces or torques over time during the joining method and for detecting additional measurement values that are supplied to the monitoring device as input variables. Wherein the monitoring device links the supplied actual values with the supplied additional measurement values to detect upcoming wear of a wear-prone component of the electromechanical joining system. A method for analyzing the status of the electromechanical joining system is also disclosed.

Abstract: A food production management system that manages a food production process group having a plurality of production processes is disclosed. The food production management system includes a first acquisition unit and an output unit. The first acquisition unit acquires throughputs of each of the plurality of production processes. The output unit outputs first information. The first information includes information representing the throughputs of each of the plurality of production processes.

Abstract: A telemetry master (TM) system provides automatic monitoring and maintenance of equipment by automatically generating predictive actions of a certain confidence threshold to backend systems which maintain a full duplex communication channel with the TM system. Data entries including context information that are generated by applications corresponding to the backend systems during the functioning of the backend systems are collected, analyzed and actionable items such as alerts, alarms of particular messages cause the telemetry master system to generate a predictive action of a minimum confidence threshold using a pre-trained first data model. A second data model is employed to identify particular equipment from the backend systems that is to implement the action. Results from implementing the action are collected and again used to train the data models. Certain applications can include intelligent agents which enable automatic execution of the actions.

Abstract: A system includes a flexible datacenter and an energy storage unit that receives and stores power from one or more grid-scale power generation units. The energy storage unit and the flexible datacenter are connected behind-the-meter to the power generation unit(s) such that they are not typically subject to grid transmission and distribution fees. By various methods, behind-the-meter power is routed between the power generation unit(s), the energy storage unit, the flexible datacenter, and/or the grid based on a variety of conditions and operational directives.

Abstract: A system is described for configuring another system, e.g., a robotics system. The other system interacts with an environment according to a deterministic policy by repeatedly obtaining, from a sensor, sensor data indicative of a state of the environment, determining a current action, and providing, to an actuator, actuator data causing the actuator to effect the current action in the environment. To configure the other system, the system optimizes a loss function based on an accumulated reward distribution with respect to a set of parameters of the policy. The accumulated reward distribution includes an action probability of an action of a previous interaction log being performed according to the current set of parameters. The action probability is approximated using a probability distribution defined by an action selected by the deterministic policy according to the current set of parameters.

Abstract: A diagnostic apparatus includes a context information acquisition unit that acquires context information of operation being performed from a plurality of mechanical apparatuses, a sensing information acquisition unit that acquires physical quantity sensing information sensed by each of sensing units of a target machine and other mechanical apparatuses, a sensing information separation unit that separates the physical quantity information of the target machine and the physical quantity information of the other mechanical apparatuses from each other based on the context information and the sensing information of each of the plurality of mechanical apparatuses, a feature information extraction unit that extracts feature information of the physical quantity information, and an anomaly determination unit that determines, from a model corresponding to the acquired context information and the extracted feature information, whether or not operation of the target machine is normal.

Abstract: A method includes identifying a bottleneck operation of a plurality of operations in a sequence recipe. The plurality of operations are associated with transporting and processing a plurality of substrates in a substrate processing system. The method further includes determining, based on the bottleneck operation, a takt time for the plurality of substrates. The takt time is an amount of time between a first substrate entering the substrate processing system and a second substrate entering the substrate processing system. The method further includes determining a plurality of queue times. Each of the plurality of queue times corresponds to a respective operation of the plurality of operations. The method further includes causing, based on the takt time and the plurality of queue times, the plurality of substrates to be processed by the substrate processing system.

Abstract: A system for use in facilitating a manufacturing operation that includes a wireless beacon paired with each vehicle of multiple vehicles routable along a production line in a sequence. The wireless beacon emits a signal containing information that identifies the paired vehicle. A wireless transceiver is at a predetermined location along the production line, and the wireless transceiver scans for the signal. A server device is in communication with the wireless transceiver. The server device stores pairing data of which wireless beacon is paired with each vehicle, and sequence data of the vehicles routed along the production line, and receives, from the wireless transceiver, a signal containing the information that identifies the paired vehicle. The server device also verifies, based on the pairing data, the sequence data, and the information in the signal, that an order in which the vehicles enter the predetermined location corresponds to the sequence.

Abstract: To provide a program simulation system and a numerical control system that do not require a simulation on a machine operator's side and can mitigate or reduce a burden on the machine operator's side. A program simulation system for industrial machines that performs a simulation according to a program includes a machine selection unit that selects at least one industrial machine to be simulated; an identification data group creation unit that has a function to automatically add an identification code for specifying the industrial machine to the program after simulating a program for the industrial machine selected by the machine selection unit and create a data group of the program and the identification code; and a determination unit that determines whether the identification code in the data group sent to an industrial machine side matches an identification code of the industrial machine itself.

Abstract: An integrated platform system controlled with hardware and software for just-in-time, local manufacturing is disclosed. System hardware may include a fermentation system, a cross-flow system, a disposable formulation system, a robotic fill-finish system, and a quality control test and release system.

Abstract: A method for the computer-aided processing of operating data relating to a technical system, wherein the operating data have been captured during operation of the technical system in a predefined operating interval and are stored as digital data in a memory is provided. A pair of first state variables and one or more second state variables with corresponding state values of the technical system at the particular operating time are extracted from the operating data by the method. A two-dimensional representation is generated on a display of a user interface by these state variables. Bar charts for different state ranges of the pairs of first state variables are generated in this representation on the basis of the evaluation of a threshold value criterion, wherein the bar charts represent, inter alia, how many states of the technical system within the particular state range can be classified as critical.

Abstract: Embodiments of this present disclosure may include industrial components in an industrial environment and a control system. The control system may receive a request to perform a control operation using the industrial components and may access a reference array associated with the industrial components. The reference array may include rows and columns, where each row may correspond to a respective industrial component of the industrial components. The control system may identify or program set points in the reference array associated with completing the control operation and may detect current motion components of the plurality of industrial components. The control system may generate control commands for the industrial components based on the current motion components, the set points, and/or the reference array. The industrial components may perform the control operation in response to receiving the control commands.

Abstract: A method for dithering can include receiving, at a computer numerically controlled machine comprising a laser, a motion plan corresponding to a first image. The output of the laser can be dithered, in accordance with the motion plan, to effect a change in a material within an interior space of the computer numerically controlled machine. The change can substantially reproduce at least a portion of the first image on the material. The dithering can include providing laser energy to the material at a native resolution based at least on a spot size of the laser. The spot size can be determined based at least on one or more parameters of the computer numerically controlled machine and/or one or more properties of the material. The laser energy can be delivered at locations separated by a distance no less than the spot size.

Abstract: A service unit is provided as well as a method for controlling a service unit performing various service activities at one workstation on a textile machine having several workstations, in which case the service activities and movement orders to be carried out by the service unit are prioritized by a controller unit. In order to provide a method for controlling a service unit performing various service activities and movement orders as well as a service unit with a controller device for carrying out movement orders and service orders, which enable adjustment and maintenance work to be carried out quickly on the service unit, there is provision for avoidance maneuvers and parking orders to be carried out with the highest priority and manually set service activities and movement orders to be carried out with high priority.

Abstract: A method and an apparatus provides a workpiece representation at a production station. A database is used to store a data record for providing an original model of the workpiece. A display unit at the production station displays the workpiece representation using stored model data. A first data record represents an original model of the workpiece, and stored in a database, a second data record, which is simplified in comparison with said first data record and for representing a simplified model of the workpiece, is generated and is stored A code is provided at the production station, and the terminal can use the code to retrieve the second data record and can use said second data record to display the simplified workpiece model. For outsiders, the transmitted code is unusable without a suitably configured terminal and/or without a suitable user identifier. The terminal can be, for example, a mobile screen device or smartglasses.