Method and device for monitoring status of at least one wind turbine and computer program product

A technology for wind turbines and states, applied to state equipment, computer program products, and monitoring the state of at least one wind turbine, can solve problems such as unavailability and incomplete data, and achieve the effect of simplifying damage identification and improving damage identification.

Inactive Publication Date: 2019-05-03
FOS4X
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially for rotor blades of wind turbines, due to their continuous further development and structural changes, the required data on damage modes are incomplete or not available at all

Method used

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  • Method and device for monitoring status of at least one wind turbine and computer program product
  • Method and device for monitoring status of at least one wind turbine and computer program product
  • Method and device for monitoring status of at least one wind turbine and computer program product

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Embodiment Construction

[0017] In the following, unless otherwise stated, the same reference numerals will be used for the same elements or elements of the same action.

[0018] figure 1 A schematic diagram of an apparatus 100 for monitoring the status of at least one wind turbine according to an embodiment of the present disclosure is shown. The device 100 may be a measurement system or a part of a measurement system.

[0019] The device 100 comprises: one or more sensors 110 for detecting measurement signals; and an electronic device 120 comprising a trainable algorithm. Electronic device 120 may be a monitoring unit for at least one wind turbine. Trainable algorithms can be provided by neural networks.

[0020] The trainable algorithm is trained using the measurement signals provided by the sensors 110 in an undamaged state of the wind turbine, in particular at least one rotor blade. In other words, the trainable algorithm learns the normal state of the wind turbine, in particular of at least ...

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PUM

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Abstract

The invention relates to a method (200) for monitoring a status of at least one wind turbine. The method (200) comprises: detecting first measurement signals via one or more sensors (210), wherein thefirst measurement signals provide one or more parameters relating to at least one rotor blade of the at least one wind turbine in a normal status; training a trainable algorithm based on the first measurement signals of the normal status (220); detecting second measurement signals via the one or more sensors (230); and recognising an undetermined anomaly via the trainable algorithm trained in thenormal status, if a current status of the wind turbine, determined based on the second measurement signals, deviates from the normal status (240).

Description

[0001] The present disclosure relates to methods and apparatus for monitoring the status of at least one wind turbine, and to computer program products. In particular, the present disclosure relates to the use of neural networks to determine the state of rotor blades of wind turbines. Background technique [0002] In conventional methods for condition monitoring of rotor blades, the detected measurement data are compared with known damage patterns and the extent and type of damage is obtained therefrom. For this purpose, a detailed database is provided which includes damage patterns and their correlation with detected measured parameters. Especially for rotor blades of wind turbines, due to their continuous further development and structural changes, the required data on damage modes are incomplete or not available at all. [0003] Therefore, there is a need for further improved methods and devices for monitoring the status of at least one wind turbine. In particular, there ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D7/02F03D7/00
CPCF03D7/0264F03D7/00F05B2260/80F05B2270/107F05B2270/303F05B2270/32F05B2270/327F05B2270/328F05B2270/335F05B2270/709Y02E10/72F03D17/00
Inventor 马蒂亚斯·穆勒托马斯·绍斯
Owner FOS4X
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