Abstract: A computer-implemented method for building a diagnostic module for a physical system includes obtaining simulated healthy measurements by a physics-based simulation model of the physical system from measured input excitations to the physical system. The method includes training a generator model to generate realistic healthy measurements from the simulated healthy measurements and the measured input excitations, the training involving tuning the generator model based on an error between a generated realistic healthy measurement and a corresponding real measurement obtained from the physical system in response to each input excitation. The trained generator model is used to generate realistic faulty measurement data from simulated faulty measurements obtained by the physics-based simulation model.

Abstract: A system for autonomously providing functionality to a computerized control system includes a logic controller running a first computer application relating to an operations system and an application manager that receives requests for functionality from the first computer application. A remote marketplace client is in communication with the application manager and a remote marketplace that offers computer applications for providing a plurality of functionalities relating to the operations system. A computer application repository stores computer applications providing functionality of the operations system and responsive to receiving the request for functionality the application manager forwards the request to the remote marketplace client. The remote marketplace client queries the remote marketplace for the requested functionality and provides results of the query to the application manager.

Abstract: An embedded control system for a field device of an automation system includes: a diagnostic application interface to a backend server for signal analytics information, complex event pattern information, and diagnostic information; a physical process interface to a signal source for transferring signal data; a signal evaluation component for comparing received signal analytics information with received signal data to identify a first and a second event; an event processing component for applying received event pattern information to the first and second identified events to identify a first classified event; and a diagnostic reasoning component for deriving causal dependencies between the first classified event and a further classified event with regard to diagnostic information to identify a root cause for the first classified event or predict an impact of the first classified event.

Abstract: A computer-implemented method for detecting cyber-attacks affecting a computing device includes retrieving a plurality of sensor datasets from a plurality of sensors, each sensor dataset corresponding to involuntary emissions from the computing device in a particular modality and extracting a plurality of features from the plurality of sensor datasets. One or more statistical models are applied to the plurality of features to identify one or more events related to the computing device. Additionally, a domain-specific ontology is applied to designate each of the one or more events as benign, failure, or a cyber-attack.

Abstract: The controlling method uses a control specification. In the method, at least part of the progression of the controlling process is monitored, and at least one quality criterion characterizing the quality of the control method is determined, (e.g., ascertained), in accordance with the progression. The control specification is adjusted in accordance with the quality criterion.

Abstract: A method of operating an intelligent programmable logic controller (PLC) as part of a production process within an automation system includes the intelligent PLC receiving automation system data and a semantic context model comprising a plurality of ontologies providing formal specifications of conceptual entities associated with the automation system. The intelligent PLC creates one or more semantic annotations for the automation system data using the semantic context model. These semantic annotations are stored along with the automation system data in a non-volatile storage medium included in the intelligent PLC.

Abstract: A method and apparatus for diagnosing and monitoring vehicles, vehicle components, routes and route components, wherein at least one first sensor is used to perform measurements and at least one computing unit is used to effect signal processing, where the at least one computing unit is supplied with at least measured first signals, at least one first characteristic value is formed from the at least first signals, the at least one first characteristic value or at least one first characteristic value combination is classified via at least one first statistical model, or a prediction is performed, and where at least one technical first condition indicator for at least one first vehicle component or at least one route component is determined, such that safe detection of faults, damage, excess wear, etc., and effective, condition--oriented maintenance of vehicles and infrastructures are achieved.

Abstract: A computer-implemented method of identifying federations of manufacturing apps using House of Quality (HoQ) analysis includes receiving user request information comprising a plurality of desired functions and an importance value for each of the plurality of desired functions and generating a correlation matrix between the plurality of apps, wherein each element of the correlation matrix indicates a degree of correlation between a pair of apps. A relationship matrix is generated which comprises numerical values indicating relationships between a plurality of apps and the plurality of desired functions, wherein each column of relationship matrix is associated with an app and each row is associated with a desired function. Next, a weighted matrix is created by multiplying each row in the relationship matrix by the importance value corresponding to the desired function associated with the row.

Abstract: A method of operating an intelligent programmable logic controller includes executing, by a processor included in the intelligent programmable logic controller, a control program. A non-volatile storage medium included in the intelligent programmable logic controller stores a control model comprising control knowledge related to the control program. The control model is used to perform a monitoring operation related to execution of the control program on the intelligent programmable logic controller.

Abstract: A system for autonomously providing functionality to a computerized control system includes a logic controller running a first computer application relating to an operations system and an application manager that receives requests for functionality from the first computer application. A remote marketplace client is in communication with the application manager and a remote marketplace that offers computer applications for providing a plurality of functionalities relating to the operations system. A computer application repository stores computer applications providing functionality of the operations system and responsive to receiving the request for functionality the application manager forwards the request to the remote marketplace client. The remote marketplace client queries the remote marketplace for the requested functionality and provides results of the query to the application manager.

Abstract: A method of operating an intelligent programmable logic controller over a plurality of scan cycles includes the intelligent programmable logic controller selecting one or more soft-sensors available in a control program corresponding to a production unit, each soft-sensor comprising a local parameter or variable used by the control program. The intelligent programmable logic controller determines updated soft-sensor values corresponding to the one or more soft-sensors during each scan cycle and stores those values during each scan cycle on a non-volatile computer-readable storage medium operably coupled to the intelligent programmable logic controller. Additionally, the intelligent programmable logic controller annotates the updated soft-sensor values with automation system context information to generate contextualized data.

Abstract: Systems, techniques, and computer-program products are provided for tracking and traceability of parts of a finished product. In some embodiments, the tracking and traceability generates streams of semantic data obtained from an imaging sensor system that records the execution of a manufacturing process in industrial equipment. The execution of the manufacturing process yields a finished product from initial materials and/or parts. The tracking and traceability also implements artificial reasoning about the execution of the manufacturing process to generate assertions that characterize the execution of the manufacturing process. Semantic data and assertions can be aggregated into a digital trace record that tracks a defined component of the finished product throughout the execution of the manufacturing process and permit tracing the component to a defined event within the manufacturing process.

Abstract: A computer-implemented method for detecting faults and events related to a system includes receiving sensor data from a plurality of sensors associated with the system. A hierarchical failure model of the system is constructed using (i) the sensor data, (ii) fault detector data, (iii) prior knowledge about system variables and states, and (iii) one or more statistical descriptions of the system. The failure model comprises a plurality of diagnostic variables related to the system and their relationships. Probabilistic reasoning is performed for diagnostic or prognostic purposes on the system using the failure model to derive knowledge related to potential or actual system failures.

Abstract: A system for storing data in an industrial production environment, the system comprises a distributed data management system stored on a plurality of intelligent programmable logic controller devices. Each intelligent programmable logic controller device comprises a volatile computer-readable storage medium comprising a process image area, a non-volatile computer-readable storage medium; a control program configured to provide operating instructions to a production unit; an input/output component configured to update the process image area during each scan cycle with data associated with the production unit; a distributed data management component comprising an instance of the distributed data management system; a contextualization component; a historian component; and a data analytics component.

Abstract: Systems, techniques, and computer-program products are provided for tracking and traceability of parts of a finished product. In some embodiments, the tracking and traceability generates streams of semantic data obtained from an imaging sensor system that records the execution of a manufacturing process in industrial equipment. The execution of the manufacturing process yields a finished product from initial materials and/or parts. The tracking and traceability also implements artificial reasoning about the execution of the manufacturing process to generate assertions that characterize the execution of the manufacturing process. Semantic data and assertions can be aggregated into a digital trace record that tracks a defined component of the finished product throughout the execution of the manufacturing process and permit tracing the component to a defined event within the manufacturing process.

Abstract: A system for storing data in an industrial production environment includes a distributed database stored on a plurality of intelligent programmable logic controller devices. Each respective intelligent programmable logic controller device includes a volatile computer-readable storage medium containing a process image area; a non-volatile computer-readable storage medium; a control application; an input/output component; a historian component; and a distributed data management component. The control application is configured to provide operating instructions to a production unit. The input/output component is configured to update the process image area during each scan cycle with data associated with the production unit. The historian component is configured to store automation system data including the operating instructions and contents of the process image area on the non-volatile computer-readable storage medium.

Abstract: A method of operating an intelligent programmable logic controller over a plurality of scan cycles includes the intelligent programmable logic controller executing a control program and one or more reasoning algorithms for analyzing data received and transmitted by the intelligent programmable logic controller. The intelligent programmable logic controller receives one or more user-specified declarative knowledge models from an external source via a deployment interface included in the intelligent programmable logic controller. The intelligent programmable logic controller dynamically modifies the reasoning algorithms during runtime of the control program based on the user-specified declarative knowledge models.

Abstract: Systems and methods are provided for modeling and simulating a communication network operating under at least one communication protocol, which supports a Smart Grid electricity network. Communication performance data of the communication network are generated by a processor based on operating behavior of the Smart Grid with a plurality of assets under a first condition. Devices in the Smart grid are grouped in bins for rapid modeling. One or more different configurations of the communication network are entered into the processor and related performance data is also generated. Network configurations are compared based on the generated performance data which may include end-to-end delay and reception rate. Processor based systems to perform modeling methods are also provided.

Abstract: A computer-implemented method of identifying federations of manufacturing apps using House of Quality (HoQ) analysis includes receiving user request information comprising a plurality of desired functions and an importance value for each of the plurality of desired functions and generating a correlation matrix between the plurality of apps, wherein each element of the correlation matrix indicates a degree of correlation between a pair of apps. A relationship matrix is generated which comprises numerical values indicating relationships between a plurality of apps and the plurality of desired functions, wherein each column of relationship matrix is associated with an app and each row is associated with a desired function. Next, a weighted matrix is created by multiplying each row in the relationship matrix by the importance value corresponding to the desired function associated with the row.

Abstract: A computer-implemented method for detecting faults and events related to a system includes receiving sensor data from a plurality of sensors associated with the system. A hierarchical failure model of the system is constructed using (i) the sensor data, (ii) fault detector data, (iii) prior knowledge about system variables and states, and (iii) one or more statistical descriptions of the system. The failure model comprises a plurality of diagnostic variables related to the system and their relationships. Probabilistic reasoning is performed for diagnostic or prognostic purposes on the system using the failure model to derive knowledge related to potential or actual system failures.