Abstract: Some embodiments provide a system and method comprising a memory and a processor to cause the system to: receive a first and second data distribution for a first and second variable, respectively; determine a first and second data optimum number of bins for the first and second data distribution, respectively; create a first and second model for the first and second data distribution using the first and second data optimum number of bins, respectively; apply the first model to the second data distribution to calculate a smallest descriptive size of the second data distribution given the first model; apply the second model to the first data distribution to calculate a smallest descriptive size of the first data distribution given the second model; and determine a causal direction between the first variable and the second variable based on the application of the first and second model. Numerous other aspects are provided.

Abstract: According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a memory storing processor-executable steps; and a processor to execute the processor-executable steps to cause the system to: receive a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset; determine, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case; in a case it is determined the first data value is a near boundary case, generate one or more adversarial samples for the first data value; input each of the one or more adversarial samples to the digital twin model; execute the digital twin model to output a system response for each input adversarial sample; determine whether the system response to each input adversarial sample has a negative impact; in a case it is determined the system response has a negative impact for a given

Abstract: An industrial asset may have monitoring nodes that generate current monitoring node values representing a current operation of the industrial asset. An abnormality detection computer may detect when a monitoring node is currently being attacked or experiencing a fault based on a current feature vector, calculated in accordance with current monitoring node values, and a detection model that includes a decision boundary. A model updater (e.g., a continuous learning model updater) may determine an update time-frame (e.g., short-term, mid-term, long-term, etc.) associated with the system based on trigger occurrence detection (e.g., associated with a time-based trigger, a performance-based trigger, an event-based trigger, etc.). The model updater may then update the detection model in accordance with the determined update time-frame (and, in some embodiments, continuous learning).

Abstract: According to some embodiments, a system, method, and non-transitory computer readable medium are provided comprising a plurality of real-time monitoring nodes to receive streams of monitoring node signal values over time that represent a current operation of the cyber physical system; and a threat detection computer platform, coupled to the plurality of real-time monitoring nodes, to: receive the monitoring node signal values; compute an anomaly score; compare the anomaly score with an adaptive threshold; and detect that one of a particular monitoring node and a system is outside a decision boundary based on the comparison, and classify that particular monitoring node or system as anomalous. Numerous other aspects are provided.

Abstract: According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a plurality of real-time monitoring nodes to receive streams of monitoring node signal values over time that represent a current operation of the cyber physical system; a local status determination module comprising an ensemble of local agents, the module adapted to determine an anomaly status for one or more nodes; a global status determination module comprising an ensemble of global agents, the module adapted to determine an anomaly status for the cyber physical system; a threat detection computer platform comprising a memory and a computer processor, the threat detection computer platform coupled to the plurality of real-time monitoring nodes and adapted to: receive the monitoring node signal values, generate feature vectors from the received monitoring node signal values; compare via the local status determination module the feature vectors with at least one decision boundary associated with

Abstract: A system is provided having one or more charging stations that are electrically coupled with a power distribution grid and that may selectively couple with one or more energy storage devices; and a controller that may control transfer of electric power between the one or more charging stations, the one or more energy storage devices, and the power distribution grid. The controller may determine the amount of electric power transferred based at least in part on one or both of an assessment value.

Abstract: A system includes a control unit having one or more processors and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The one or more processors are configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.

Abstract: A system includes a control unit having a processor and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The processor is configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.

Abstract: A system includes a control unit having one or more processors and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The one or more processors are configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.

Abstract: A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability.

Abstract: Some embodiments are directed to an Internet of Things (“IoT”) associate to facilitate implementation of a digital twin of a twinned physical system. The IoT associate may include a communication port to communicate with at least one component, the at least one component comprising a sensor or an actuator associated with the twinned physical system, and a gateway to exchange information via the IoT. A computer processor and local data storage, coupled to the communication port and gateway, may receive a digital twin model from a data warehouse via the IoT. The computer processor may be programmed to, for at least a selected portion of the twinned physical system, execute the digital twin model in connection with the at least one component and operation of the twinned physical system.

Abstract: A system includes a control unit having a processor and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The processor is configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.

Abstract: A system for determining identity information corresponding to an electrically operable machine is disclosed, where the electrically operable machine receives electricity from a power supply port. The system includes at least one sensor to generate a signal indicative of the electricity being drawn by the electrically operable machine from the power supply port. The system further includes a controller communicatively coupled to the at least one sensor and configured to determine the identity information corresponding to the electrically operable machine based on one or more electrical characteristics of the signal sensed by the at least one sensor. Method and non-transitory computer readable media for determining the identity of the electrically operable vehicle are also disclosed. Moreover, a system for controlling charging of a vehicle that is operated at least partially by the electricity is also disclosed.

Abstract: Some embodiments are directed to an Internet of Things (“IoT”) associate to facilitate implementation of a digital twin of a twinned physical system. The IoT associate may include a communication port to communicate with at least one component, the at least one component comprising a sensor or an actuator associated with the twinned physical system, and a gateway to exchange information via the IoT. A computer processor and local data storage, coupled to the communication port and gateway, may receive a digital twin model from a data warehouse via the IoT. The computer processor may be programmed to, for at least a selected portion of the twinned physical system, execute the digital twin model in connection with the at least one component and operation of the twinned physical system.

Abstract: A fastening device may include a hollow void. The hollow void may contain an inner coil proximate to a first end of the device, a sensing portion to sense a characteristic associated with the fastening device during a sensing time window, and a controller. The controller may rectify an alternating current from the inner coil during a charging time window, store energy associated with the rectified alternating current, and use the stored energy to charge the sensing portion during the sensing time window. An outer coil outside the fastening device may be located proximate to a second end of the device as compared to the inner coil. An interface portion outside the fastening device may provide an alternating current to the outer coil during the charging time window, detect the sensed characteristic via the outer coil during the sensing time window, and transmit an indication of the detected characteristic value.

Abstract: A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability.

Abstract: An apparatus may implement a digital twin of a twinned physical system such that one or more sensors to sense values of one or more designated parameters of the twinned physical system. A computer processor may receive data associated with the sensors and, for at least a selected portion of the twinned physical system, monitor a condition of the selected portion of the twinned physical system and/or assess a remaining useful life of the selected portion based at least in part on the sensed values of the one or more designated parameters. A communication port may transmit information associated with a result generated by the computer processor. The one or more sensors may sense values of the one or more designated parameters, and the computer processor may perform the monitoring and/or assessing, when the twinned physical system is not operating.

Abstract: A system and method for guiding and coordinating vehicular traffic determine tasks to be completed by vehicles in a transportation network in order to complete an objective, allocate the tasks among the vehicles, and determine sets of allowable actions for the vehicles based on the allocation of the tasks. The sets of allowable actions dictate plural different allowable actions that the vehicles are allowed to perform in order to complete the tasks allocated to the vehicles. The allowable actions are determined such that the vehicles are scheduled to complete the tasks and complete the objective without the vehicles colliding or blocking movement of each other. The allowable actions are communicated to the vehicles such that the vehicles are permitted to select one or more of the allowable actions and prohibited from performing one or more other actions during performance of the tasks allocated to the vehicles.

Abstract: A system includes a control unit having a processor and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The processor is configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.

Abstract: A system and method for guiding and coordinating vehicular traffic determine tasks to be completed by vehicles in a transportation network in order to complete an objective, allocate the tasks among the vehicles, and determine sets of allowable actions for the vehicles based on the allocation of the tasks. The sets of allowable actions dictate plural different allowable actions that the vehicles are allowed to perform in order to complete the tasks allocated to the vehicles. The allowable actions are determined such that the vehicles are scheduled to complete the tasks and complete the objective without the vehicles colliding or blocking movement of each other. The allowable actions are communicated to the vehicles such that the vehicles are permitted to select one or more of the allowable actions and prohibited from performing one or more other actions during performance of the tasks allocated to the vehicles.