WIND TURBINE AND METHOD FOR EVALUATING HEALTH STATE OF BLADE THEREOF

Patent №

US 10,072,635

Granted

2018-09-11

Filed 2014

Owner

GENERAL ELECTRIC COMPANY

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14528101

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.

PlanningF03D 17/00G01L 3/02G01M 15/14G01P 3/00F05B 2270/334F05B 2270/80F05B 2270/807Y02E 10/72

AI classification

Planning0.58
AI hardware0.28
Vision0.16
Knowledge representation0.15
Natural language0.00
Evolutionary computation0.00
Machine learning0.00
Speech0.00

Ownership

GENERAL ELECTRIC COMPANY

assignment · 347030861

Assignors

FU, XU, WU, ZHILIN, QIU, HAI

On an employer assignment, the assignors are typically the inventors.

From the same owner

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