Abstract: A control network for a wind turbine system, the wind turbine system comprising multiple rotor-nacelle assemblies mounted on a support structure, the control network comprising: a respective local network associated with each rotor-nacelle assembly, each local network comprising multiple nodes; a central network that is connected to each local network, the central network comprising multiple nodes; and a synchronization device that synchronizes data transmission throughout the control network.

Abstract: A computer-implemented method and system perform key moment-based snippet creation. The method comprises locating, automatically via at least one processor, a key moment of a call in a representation of the call and creating, automatically via the at least one processor, a snippet of the representation of the call based on the key moment located. The snippet includes the key moment and context for the key moment. The context includes a lead portion and a lag portion. The lead portion precedes the key moment, and the lag portion follows the key moment in the representation of the call. The key moment may be an utterance identified by an artificial (AI) model as having a positive or negative impact on an outcome effectuated by the call. The snippet, including the key moment, may serve as a learning tool to coach a user in a manner that improves an outcome of a next call. Such coaching may be referred to as AI-driven coaching.

Abstract: A method of providing safety configuration parameters for a wind turbine is provided. The method comprises receiving a safety configuration file at a location of the wind turbine, and comparing a turbine ID associated with the safety configuration file to a turbine ID of the wind turbine stored at the location of the wind turbine. A tamper check is performed on the safety configuration file to determine if data in the safety configuration file has been modified. If the turbine ID associated with the safety configuration file matches the turbine ID of the wind turbine, and if the tamper check determines that the data has not been modified, a safety configuration parameter associated with a safety system of the wind turbine is extracted from the file and stored.

Abstract: A combustion system comprising: a combustion chamber extending in an axial direction between an inlet and an outlet, the combustion chamber configured to receive an airflow through the inlet and to discharge the airflow through the outlet; a fuel injection port configured to inject fuel into the airflow to form an air-fuel mixture; an ignition system for igniting the air-fuel mixture in the combustion chamber, the ignition system comprising an array of electrical plasma initiation points disposed downstream of the fuel injection port, and distributed radially and circumferentially around the combustion chamber, wherein each electrical plasma initiation point comprises a pair of electrodes configured to apply a voltage across an electrode gap between the pair of electrodes to produce plasma within the air-fuel mixture passing between the electrodes, thereby igniting the air-fuel mixture.

Abstract: This application discloses a flooring edge finish that includes a flexible strip having an adhesive affixed to a top surface of the flexible strip and a hinge, wherein the hinge is a gap or an absence of the adhesive or a lower amount of the adhesive, on a portion of the top surface of the flexible strip, and wherein the flooring edge finish is upwardly foldable along the hinge to bind, protect, and conceal a flooring edge.

Abstract: In some embodiments, data from multiple vehicle-based natural gas leak detection survey runs are used by computer-implemented machine learning systems to generate a list of natural gas leaks ranked by hazard level. A risk model embodies training data having known hazard levels, and is used to classify newly-discovered leaks. Hazard levels may be expressed by continuous variables, and/or probabilities that a given leak fits within a predefined category of hazard (e.g. Grades 1-3). Each leak is represented by a cluster of leak indications (peaks) originating from a common leak source. Hazard-predictive features may include maximum, minimum, mean, and/or median CH4/amplitude of aggregated leak indications; estimated leak flow rate, determined from an average of leak indications in a cluster; likelihood of leak being natural gas based on other indicator data (e.g. ethane concentration); probability the leak was detected on a given pass; and estimated distance to leak source.

Abstract: A wind turbine comprising: a tower; a first arm extending from the tower; a first rotor-nacelle assembly disposed on the first arm; a first movement sensor disposed on the first arm or on the first rotor-nacelle assembly and arranged to generate first movement data based on movement of the first arm or of the first rotor-nacelle assembly; a second arm extending from the tower; a second rotor-nacelle assembly disposed on the second arm; a second movement sensor disposed on the second arm or on the second rotor-nacelle assembly and arranged to generate second movement data based on movement of the second arm or of the second rotor-nacelle assembly; and a control system coupled to the first and the second movement sensors and arranged to receive and to process the first and second movement data; wherein the control system is arranged to determine an oscillation characteristic of the wind turbine from the first and the second movement data.

Abstract: This application discloses a flooring edge finish that includes a flexible strip having an adhesive affixed to a top surface of the flexible strip and a hinge, wherein the hinge is a gap or an absence of the adhesive or a lower amount of the adhesive, on a portion of the top surface of the flexible strip, and wherein the flooring edge finish is upwardly foldable along the hinge to bind, protect, and conceal a flooring edge.

Abstract: A garment may include a first woven component, a second woven component, a space between the first and second woven components defining a channel filled with a fill material, and a third woven component extending such that the first and second woven components are woven together where there is no channel. The channel may be filled with a filler material. Multiple channels may be provided such that they form a zoned pattern in the garment.

Abstract: A garment may include a first woven component, a second woven component, a space between the first and second woven components defining a channel filled with a fill material, and a third woven component extending such that the first and second woven components are woven together where there is no channel. The channel may be filled with a filler material. Multiple channels may be provided such that they form a zoned pattern in the garment.

Abstract: In some embodiments, data from multiple vehicle-based natural gas leak detection survey runs are used by computer-implemented machine learning systems to generate a list of natural gas leaks ranked by hazard level. A risk model embodies training data having known hazard levels, and is used to classify newly-discovered leaks. Hazard levels may be expressed by continuous variables, and/or probabilities that a given leak fits within a predefined category of hazard (e.g. Grades 1-3). Each leak is represented by a cluster of leak indications (peaks) originating from a common leak sources. Hazard-predictive features may include maximum, minimum, mean, and/or median CH4/amplitude of aggregated leak indications; estimated leak flow rate, determined from an average of leak indications in a cluster; likelihood of leak being natural gas based on other indicator data (e.g. ethane concentration); probability the leak was detected on a given pass; and estimated distance to leak source.

Abstract: The wind turbine comprises at least one controller arranged to control a function of the wind turbine, and a data storage unit arranged to store controller specific data for the at least one controller, where the data storage unit is associated with the at least one controller to enable communication of the controller specific data between the data storage unit and the at least one controller. The method comprises detecting a connection between a programming enabling key and a connection interface dependent on a presence of the programming enabling key in proximity of the connection interface, initiating a programming mode wherein a control unit is enabled to receive controller specific data or wind turbine specific data from which the controller specific data can be determined, and obtaining the controller specific data or the wind turbine specific data via a manual action or via a trusted data source.

Abstract: A lateral flow immunoassay device includes a porous test strip, a sampling channel having an inlet at a first end to receive a biomarker and an outlet at a second end, opposite the first end, the outlet communicating with the test strip. The sampling channel has an air vent opening at or adjacent the second end thereof, and a diluent reservoir having an outlet communicating with the test strip. The outlet of the sampling channel and the outlet of the diluent reservoir are sealed by a common removable seal to prevent communication between the sampling channel and the test strip, and the diluent reservoir and the test strip, until the seal is removed.

Abstract: Embodiments herein describe validating an emergency stop signal before activating a brake within a wind turbine. The emergency stop signal is received from a control node of a plurality of control nodes distributed throughout the wind turbine, and the emergency stop signal indicates that the wind turbine should be shut down. The wind turbine is shut down by transmitting a shutdown signal to the plurality of control nodes. Upon determining there is no indication a person is present within the wind turbine, the emergency stop signal is validated. Additionally, upon determining the emergency stop signal is valid, a brake within the wind turbine is activated to bring the rotor to a stop.

Abstract: A wind turbine generator controller is described. The controller comprises switching circuitry, for selectively activating and deactivating one or more transducer circuits, and overcurrent detection circuitry, for detecting an overcurrent state in relation to one or more of the transducer circuits. The switching circuitry is responsive to the detection on an overcurrent state to selectively deactivate one or more of the transducer circuits.

Abstract: A fuel spray nozzle comprises a fuel passage (1) having at least one inlet and at least one outlet. The outlet is configured for accelerating fuel exiting the fuel passage into a jet. An air swirler (3) is arranged outboard of the fuel passage and converges to a single outlet chamber (5) adjacent the fuel passage outlet(s). The air swirler (3) can be nominally concentrically arranged but have some freedom to move axially or radially or change its angular position. The fuel passage outlets may be arranged symmetrically in an annular configuration. An air passage may be arranged axially within the annular array of fuel passage outlets.

Abstract: In some embodiments, a natural gas leak detection system generates display content including indicators of remote and local potential leak source areas situated on a map of an area of a gas concentration measurement survey performed by a vehicle-borne device. The remote area may be shaped as a wedge extending upwind from an associated gas concentration measurement point. The local area graphically represents a potential local leak source area situated around the gas concentration measurement point, and having a boundary within a predetermined distance (e.g. 10 meters) of the gas concentration measurement point. The local area may be represented as a circle, ellipse, or other shape, and may include an area downwind from the measurement point. Size and/or shape parameters of the local area indicator may be determined according to survey vehicle speed and direction data, and/or wind speed and direction data characterizing the measurement point.

Abstract: In some embodiments, data from multiple vehicle-based natural gas leak detection survey runs are used by computer-implemented machine learning systems to generate a list of natural gas leaks ranked by hazard level. A risk model embodies training data having known hazard levels, and is used to classify newly-discovered leaks. Hazard levels may be expressed by continuous variables, and/or probabilities that a given leak fits within a predefined category of hazard (e.g. Grades 1-3). Each leak is represented by a cluster of leak indications (peaks) originating from a common leak sources. Hazard-predictive features may include maximum, minimum, mean, and/or median CH4/amplitude of aggregated leak indications; estimated leak flow rate, determined from an average of leak indications in a cluster; likelihood of leak being natural gas based on other indicator data (e.g. ethane concentration); probability the leak was detected on a given pass; and estimated distance to leak source.