Lockheed Martin Corporation

General Electric Company

Nbcuniversal Media, LLC

Thomas Stephen Markham

Scott Charles Evans

Jeremy Impson

Bruce Gordon Barnett

Samuel Davoust

Eric R Steinbrecher

Edward E Eiland

Dale Robert Mashtare

Conner Brooks Shane

Stephen J Dill

Adam Edgar Klingbeil

Weizhong Yan

Michael Joseph Dell'Anno

Andrew Soliz Torres

Sergei Ivanovich Dolinsky

Samuel David Draper

Abha Moitra

Andrew Walter Crapo

Pranav Agarwal

Steven Matt Gustafson

Robert J Mitchell, Jr

Robert James Boring

Fabiano Daher Adegas

Yogesh Kesrinath Potdar

Ishan Prabhath Weerakoon

Bernhard Joseph Scholz

Ping Liu

Richard Bejtlich

Katherine Derksen Stinson

Vincent Hannon

John Patrick Elliott

Agarwal Pranav

A wind turbine includes a wind turbine rotor and rotor blades mounted on the rotor, at least one sensing device disposed on the wind turbine for measuring a first signal representative of a first wind speed at a first distance from the wind turbine rotor and a second signal representative of a second wind speed at a second distance from the wind turbine rotor. The wind turbine system includes a blade pitch actuator for adjusting a pitch of the rotor blades and a generator controller for adjusting a voltage of a wind turbine generator. The wind turbine system also includes a control unit in communication with the blade pitch actuator and the generator controller, the control unit being used for controlling the wind turbine via the blade pitch actuator and the generator controller based on an induction factor derived from the first and second signals.

Induction controlled wind turbine

Methods, apparatus, systems and articles of manufacture are disclosed to provide wind turbine control and compensate for wind induction effects. An example method includes receiving wind speed data from a Light Detecting and Ranging (LIDAR) sensor. The example method includes receiving operating data indicative of wind turbine operation. The example method includes determining an apriori induction correction for wind turbine operating conditions with respect to the LIDAR wind speed data based on the operating data. The example method includes estimating a wind signal from the LIDAR sensor that is adjusted by the correction. The example method includes generating a control signal for a wind turbine based on the adjusted LIDAR estimated wind signal.

Systems and methods to correct induction for LIDAR-assisted wind turbine control

The present subject matter is directed to a system and method for sequencing Light Detecting and Ranging (LIDAR) sensor beam signals from a LIDAR sensor mounted on a nacelle of a wind turbine with the rotor position of the wind turbine so as to improve signal availability. More specifically, the method includes generating, via the LIDAR sensor, one or more laser signals towards the rotor of the wind turbine, the rotor having one or more rotor blades. The method also includes receiving, via a controller, a rotor position of the rotor of the wind turbine. Thus, the method further includes coordinating, via a control algorithm programmed within the controller, the rotor position with the one or more laser signals of the laser sensor so as to minimize interference between the laser signal(s) and the rotor blades during rotation of the rotor.

System and method for improving LIDAR sensor signal availability on a wind turbine

A method for controlling a wind turbine includes receiving signals representative of oncoming wind speeds approaching at least a portion of a wind turbine, receiving background noise and signals representative of signal-to-noise ratios corresponding to the signals representative of the oncoming wind speeds, determining an availability-and-atmospheric noise in the signals based on one or more of the signal-to-noise ratios, blade positions of blades of the wind turbine, and the yaw position of a nacelle of the wind turbine, determining a wind incoherence noise in the signals due to a change in the oncoming wind speeds while approaching at least the portion of the wind turbine, determining a net measurement noise in the signals based on the background noise, the availability-and-atmospheric noise, and the wind incoherence noise, and controlling the wind turbine based at least on the signals representative of the oncoming wind speeds and the net measurement noise.

Methods and systems for controlling a wind turbine

An intrusion detection method, system and computer-readable media are disclosed. The system can include a processor programmed to perform computer network intrusion detection. The intrusion detection can include an identification module and a detection module. The identification module can be adapted to perform semi-supervised machine learning to identify key components of a network attack and develop MDL models representing those attack components. The detection module can cluster the MDL models and use the clustered MDL models to classify network activity and detect polymorphic or zero-day attacks.

Intrusion detection using MDL clustering

An intrusion detection system for detecting and defeating unauthorized intrusion within a computer network of an infrastructure element of a high value target, the system including a pre-processor configured to receive data from a computer network of an infrastructure element of a high value target and to output filtered data, a grammar applicator configured to apply grammars produced using a grammar based compression and learning algorithm to the filtered data, a decision making device configured to provide a recommendation based on an input from the grammar applicator as to whether the data in the computer network constitutes an unauthorized intrusion, and an emulator in communication with the decision making device configured to expand a sampling of the filtered data using a polymorphic transformation to allow the decision making device to further analyze the sampled data to determine an unauthorized intrusion. A method and a computer software code are also disclosed.

System, method, and computer software code for detecting a computer network intrusion in an infrastructure element of a high value target

A system and method are provided that distill an organization's information security plan into a detailed and unambiguous security object model. The developed security object model provides a visualization of complex relationships between individual elements and levels that is usable to carry into effect the organization's information security plan. Configuration control and a verifiable level of security compliance are provided through implementation of the organization's information security plan by the developed security object model. The developed security object model is hosted on a computing platform in communication with at least the organization's network to provide information security plan compliance, configuration control and gap analysis in a usable form to the organization.

Security policy flow down system

A method and system for web mining and clustering is described. The method includes receiving and dividing input data into a plurality of primitive datasets. Additionally, one or more combinations of the plurality of primitive datasets may be created. Further, a model for each primitive dataset in the plurality of primitive datasets and each of the one or more combinations of the plurality of primitive datasets may be generated. Subsequently, a cost associated with a model corresponding to each primitive dataset in the plurality of primitive datasets, and each of the one or more combinations of the plurality of primitive datasets may be computed. Further, a sum of the costs associated with the models corresponding to each primitive dataset in the plurality of primitive datasets may be compared with the cost associated with each model corresponding to each of the one or more combinations of the plurality of primitive datasets. Finally, the plurality of primitive datasets may be partitioned into one or more clusters based on the comparison of the costs such that each primitive dataset is a part of a cluster in the one or more clusters or a stand-alone primitive dataset.

System and method for web mining and clustering

An intrusion masquerade detection system and method that includes a grammar inference engine. A grammar-based Minimum Description Length (MDL) compression algorithm is used to determine a masquerade based on a distance from a threshold in a model of an estimated algorithmic minimum sufficient statistic.

Intrusion detection using MDL compression

MDL compress system and method for signature inference and masquerade intrusion detection

A network intrusion detection system and method that includes a grammar inference engine. A grammar-based Minimum Description Length (MDL) compression algorithm is used to determine an attack based on closeness of fit to one or more compression models. The network intrusion detection system and method can determine zero day attacks.

Network intrusion detection using MDL compress for deep packet inspection

A network activity visualization system can include a minimum description length (MDL) based network intrusion detection system having an MDL grammar database adapted to store a plurality of MDL grammars, and a pattern matching module adapted to match a received network activity data set against the MDL grammars by calculating a distance of the network activity data set from each MDL grammar. The system can also include an intelligent icon module coupled to the MDL-based intrusion detection system and adapted to receive the MDL grammars and distances of a network data set from each respective MDL grammar, and adapted to generate intelligent icons based on the MDL grammars and distances. The system can further include a display system adapted to display the intelligent icons so as to provide a visual indication of network security.

Network intrusion detection visualization

The present technique provides for the analysis of a data series to identify sequences of interest within the series. Specifically, in accordance with one embodiment of the present technique, a method is provided comprising generating a data structure that stores characteristics about a plurality of sequences present in a data series. One or more sequences are identified based upon the contents of the data structure. In accordance with other aspects of the invention, more than one heuristic is calculated for each sequence under review. The plurality of heuristics associated with each sequence are evaluated to identify a sequence of interest.

Sequence identification and analysis

A method () and apparatus () for local adaptive provisioning at a node is disclosed. The method may include determining () a per packet latency for a class of packet network traffic in a queue of a plurality of queues for a plurality of classes of packet network traffic at a node, establishing () a reward function for the class of packet network traffic based on a packet latency limit, based on the per packet latency, and based on a source rate for the class of packet network traffic, and adjusting () provisioning of a queue at the node based on the reward function.

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Niskayuna, NY, United States of America

Thomas Stephen Markham