General Electric Company

Zhilin Wu

Lihan He

Xu Fu

Hai Qiu

Wei Tan

Qiang Li

Honggang Wang

Yao Liang Chen

Yong Yang

Alexander Seth Ross

David Kelly Moyeda

Ilia Voloh

Wei Zhou

Ran Niu

Veera Venkata Lakshmi Rajesh Langoju

Guang Xu

Na Ni

Zhihan Xu

Gerald Addison Curtin, Jr

Myungkeun Yoon

Weihua Gao

A method for combustion tuning, comprises collecting exhaust parameters indicating combustion status of a boiler by a sensor array; determining whether the exhaust parameters of the boiler match a preset optimization target; and optimizing combustion, if the exhaust parameters do not match the preset optimization target by selecting a model from a model repository based on a current boiler condition, wherein the model corresponds to a relationship between model input variables and the exhaust parameters; determining at least one optimized model input variable of the boiler for realizing the optimization target, based on the selected model; and adjusting actuators of the boiler according to the optimized model input variable.

System and method for combustion tuning

A wind turbine including a plurality of blades, a micro inertial measurement unit installed on each blade and configured to sense a plurality of detection parameter signals at corresponding installation positions, and a monitoring system configured to monitor an operating state of the blades. The monitoring system includes a signal processing unit configured to obtain a processing parameter signal through calculation based on the detection parameter signals, a signal analyzing unit configured to analyze each analysis parameter signal, selected from the plurality of detection parameter signals and the processing parameter signal, to obtain a fault estimation signal, used to estimate whether a corresponding blade works in a fault state, and a fault evaluating unit configured to evaluate, based on a plurality of fault estimation signals, whether a corresponding blade fails or a probability that the corresponding blade fails.

Wind turbine and method for evaluating health state of blade thereof

A wind turbine includes multiple blades, multiple Micro Inertial Measurement Units (MIMUs) for sensing parameter signals of the blades, and a control system. The control system includes a blade bending moment calculation unit, a blade bending moment error signal calculation unit, and a pitch angle compensation command calculation unit. The blade bending moment calculation unit is used for calculating blade bending moment values of the blades based at least on the sensed parameters. The blade bending moment error signal calculation unit is used for calculating blade bending moment error signals of the blades based on the calculated blade bending moment values of the blades and multiple blade bending moment commands. The pitch angle compensation command calculation unit is used for calculating pitch angle compensation commands of the blades based on the calculated blade bending moment error signals to adjust pitch angles of the blades respectively.

Control system and method for mitigating rotor imbalance on a wind turbine

A fault location system for a distribution network is disclosed. The fault location system includes at least one sensor and a fault location evaluation apparatus. The at least one sensor is located on the distribution network, for sensing current and dividing the distribution network into at least two regions. The fault location evaluation apparatus includes a fault region determination unit for determining which one of the at least two regions is a fault region where a fault occurs therein by calculating the sensed current from the at least one sensor.

Fault location system and method for distribution network

An iteration method for computing a distribution of one or more properties within an object comprises defining a first mesh of the object, applying an excitation to the object, computing a response of the object to the applied excitation, obtaining a reference response of the object corresponding to the applied excitation, computing a distribution of one or more properties of the object, and updating at least a subset of the nodes of the first mesh to form an updated mesh of the object. The distribution of one or more properties of the object is computed using the computed response, the reference response, and the first mesh. The first mesh includes a plurality of nodes and elements. A connectivity relationship of the subset of the nodes in the updated mesh remains the same as in the first mesh.

Soft field tomography system and method

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Shanghai, China

Zhilin Wu