Abstract:
A computer system independently maintains states of multiple condition indicators as logical state data, each indicator for a different respective condition and having at least an active and inactive state. Multiple condition indicators share a single human-perceptible physical indicator having at least (N+1) states, where N is the number of condition indicators, the physical indicator states including a state for all conditions inactive, and a respective separate state for each respective condition active. Preferably, the conditions comprise a fault condition and an identify condition, and the physical indicator is a light which is off if neither condition is active, is constant on if the fault condition is active, and is flashing if the identify condition is active.
Abstract:
A method and system of controlling a gas turbine engine is disclosed. The engine has sensors to detect one or more parameters and actuators adapted to respond to commands. The method includes receiving data from the sensors of the engine for one or more measured or sensed parameters, estimating a state of the engine by estimating one or more unmeasured or unsensed parameters using the data from the sensors and a predictive model of the engine, generating commands for the actuators based on the state using an optimization algorithm; and transmitting the commands to the engine. The system includes a state estimator adapted to estimate a state of the engine by estimating one or more unmeasured or unsensed parameters using data from the sensors of the engine for one or more measured or sensed parameters. The estimator includes a model of the engine. The system also includes a control module adapted to generate commands for the actuators based on the state. The control module includes an optimization algorithm for determining the commands.
Abstract:
Embodiments of the present invention include approaches for selecting a routing path of a data set from its source to its destination on a network and allocating a network cost for delivering the data set. The approaches include collecting traffic information on the network, determining one or more routing paths from the source to the destination, computing network cost(s) associated with the routing path(s), selecting a routing path based on the associated network costs, a flow value associated with the data set, and the collected traffic information, and allocating the network cost to network users in accordance with a cost policy.
Abstract:
System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.
Abstract:
A fiber sensor package is disclosed. The fiber sensor package includes an interconnection between a first optical fiber and a second optical fiber within a tubing such that the first and second optical fibers are at least partially disposed within that tubing. A bonding material is disposed across an edge of the interconnection around at least a part of the circumferential surfaces of the first and second fibers, holds rigid the interconnection of the first and second optical fibers. The methods of preparing the package, and the examples of systems benefiting from the fiber sensor package of this invention are also described.
Abstract:
A fiber sensor package is disclosed. The fiber sensor package includes an interconnection between a first optical fiber and a second optical fiber within a tubing such that the first and second optical fibers are at least partially disposed within that tubing. A bonding material is disposed across an edge of the interconnection around at least a part of the circumferential surfaces of the first and second fibers, holds rigid the interconnection of the first and second optical fibers. The methods of preparing the package, and the examples of systems benefiting from the fiber sensor package of this invention are also described.
Abstract:
A computer system independently maintains states of multiple condition indicators as logical state data, each indicator for a different respective condition and having at least an active and inactive state. Multiple condition indicators share a single human-perceptible physical indicator having at least (N+1) states, where N is the number of condition indicators, the physical indicator states including a state for all conditions inactive, and a respective separate state for each respective condition active. Preferably, the conditions comprise a fault condition and an identify condition, and the physical indicator is a light which is off if neither condition is active, is constant on if the fault condition is active, and is flashing if the identify condition is active.
Abstract:
A method for dynamically controlling a multiple input, multiple output (MIMO) system having multiple input and output constraints, the method comprising. In an exemplary embodiment, the method includes configuring a MIMO tracking controller to implement closed loop tracking of multiple control reference inputs of the system, in the absence of input and output constraints, and configuring a MIMO constraint controller to enforce the input and output constraints of the MIMO system by generating a reference modification applied to the multiple control reference inputs.
Abstract:
Performance impact of a computing system component on a transient end-to-end system operation is estimated by profiling an overall characteristic for a transient end-to-end system operation, and simultaneously profiling a program code component for a second characteristic, thereby collecting a first pair of data points, repeating the operational period while introducing a known artificial delay into the program code component, and while profiling the overall performance characteristic for the system and for the program code component, thereby collecting pairs of data points for each repetition of the operational period for each of the artificial delays; curve fitting and analyzing intercepts of the collected data points to estimate the effect of the artificial delays in the program code component on the transient end-to-end system operation; and reporting the estimate correlated to potential optimal transient end-to-end system operation.
Abstract:
System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.