Abstract:
A method for ice detection for a wind turbine is provided. The method includes providing an ice condition threshold parameter adapted for distinguishing a condition during which icing may occur and a condition during which icing may not occur, measuring a wind velocity with a first anemometer, wherein the first anemometer being of a first type, measuring a wind velocity with a second anemometer, wherein the second anemometer being of a second type, and wherein the second type is different from the first type, evaluating, for a condition during which icing may occur, a deviation of the wind velocity measured with the first anemometer and the wind velocity measured with the second anemometer, and determine whether the deviation exceeds a limit value based on a calibration conducted under a condition during which icing may not occur.
Abstract:
A wind power plant comprises an outside ring, an inside ring and roll bodies arranged between an inside jacket of the outside ring and an outside jacket of the inside ring for permitting twisting or rotation of the bearing rings against one another. One of the rings on the jacket comprises an auxiliary sensor at least along a portion of the periphery. The auxiliary sensor together with the primary sensor provided in the other bearing ring are configured in such a way that a twisting or rotational position of the two bearing rings relative to one another can be detected.
Abstract:
A system for lightning detection is provided. The lightning detection system includes a conductor configured to receive a lightning strike and transmit a lightning induced current. The system also includes a fiber optic current sensor configured to detect multiple lightning parameters from the lightning induced current and to modulate a beam of radiation in response thereto. The system further includes an electro-optic module configured to receive and convert the beam of radiation from the fiber optic current sensor to an electrical signal.
Abstract:
A system and method for narrowing an assessment of root cause to a single stage within a gas turbine engine module using coupling factors and known instrumentation non-repeatability. Embodiments examine certain root cause (RC) effects that manifest themselves as coupling levels, or ratios (CR), between an engine module's efficiency change Δη and its flow parameter change ΔFP.
Abstract:
Various embodiments relate to systems and methods related to an integrated electrically-powered sub-system and wind power system including a wind power source, an electrically-powered sub-system coupled to and at least partially powered by the wind power source, the electrically-powered sub-system being coupled to the wind power source through power converters, and a supervisory controller coupled to the wind power source and the electrically-powered sub-system to monitor and manage the integrated electrically-powered sub-system and wind power system.
Abstract:
A system and method is provided for predicting deterioration in a mechanical device. The deterioration prediction system and method includes a dynamic model of the mechanical device and a state estimator to predict deterioration in a mechanical device. The dynamic model includes a plurality of evolving health states that describe the performance of the mechanical device. The dynamic model can be implemented such that several distinct factors contribute the evolution of the health states. These factors can include damage accumulation, interaction between components in the device, deviation from design conditions, and the influence of discrete events. In one embodiment, the dynamic model uses a Poisson distribution to model the rate of damage accumulation in the mechanical device.
Abstract:
An abnormality diagnosis system for diagnosing a presence or absence of an abnormality of a bearing unit for a railway vehicle axle, comprises a sensing/processing portion for outputting a signal generated from the bearing unit as an electric signal, a calculating/processing portion for making an abnormality diagnosis of the bearing unit based on an output of the sensing/processing portion, a result outputting portion for outputting a decision result of the calculating/processing portion, and a controlling/processing portion for feeding back a control signal to a control system of the railway vehicle based on the decision result.
Abstract:
The present invention relates to a method of controlling the aerodynamic load of a wind turbine's blades individually in such a way that the dynamic aerodynamic loads on the turbine are reduced and power production is optimised. In general the present invention will improve the overall stability of the turbine leading to reduce fatigue loads, reduced extreme loads during operation and reduced risk of blade-tower interaction. In particular preferred embodiment of the invention, flow properties are measured locally on the different blades or in front of the blades and from these measurements the pitch angle settings are changed, in other ways changing the aerodynamic properties, for the blades through a control unit.
Abstract:
Methods and apparatuses are described for determining the operating status of a turbine engine. An eddy current sensor is provided having a sensing field in communication with a plurality of rotating turbine blades during a revolution of a turbine engine. The sensor generates signature data for the passage of each blade. An analytic waveform is determined from the signature data and blade characteristic data is determined from the analytic waveform.
Abstract:
According to certain disclosed embodiments of the invention, there is provided a wind power management system to monitor performance of wind turbine generators situated in wind farms, each having a number of wind turbine generators. A real-time wind power portfolio manager receives and stores in real-time data being produced by the wind turbine generator parks. The manager has a reporting module for generating profile reports for the performance of the wind turbine generators. The manager has a server to provide the reports on-line regarding the wind turbine generators. The server stores the real-time data to enable the reports to be based on the history of the project for each one of the parks.