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Method for robust wireless wind turbine condition monitoring

A technology of wind turbines and wind turbine blades, which is applied in the field of monitoring and communication systems, and can solve the problems of wireless communication paths such as wind turbine structural cycle obstruction and communication obstruction

Active Publication Date: 2018-01-26
ROBERT BOSCH GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the wireless communication paths between the various communication nodes of the wind turbine condition monitoring system can be periodically obstructed by the structure of the wind turbine
For example, towers can interfere with communication between sensors on wind turbine blades and controllers

Method used

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  • Method for robust wireless wind turbine condition monitoring
  • Method for robust wireless wind turbine condition monitoring
  • Method for robust wireless wind turbine condition monitoring

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Embodiment Construction

[0023] Corresponding reference characters indicate corresponding parts throughout the several drawings. While the examples presented herein illustrate embodiments of the invention in various forms, the embodiments disclosed below are not meant to be exhaustive, nor are they intended to limit the scope of the invention to the precise forms disclosed.

[0024]There are many applications for condition monitoring using sensors mounted on wind turbines and wind turbine blades, such as detecting damage or potential damage to wind turbines and / or blades, or increasing the energy harvesting efficiency of wind turbines. Condition monitoring of wind turbine blades can increase the lifetime of the blades and wind turbines by detecting anomalies earlier and thus enabling earlier preventive measures to avoid or reduce damage to the blades and wind turbines. One exemplary type of sensor that may be used for wind turbine condition monitoring is an accelerometer capable of measuring the accel...

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Abstract

A wind turbine condition monitoring system and method are disclosed where the wind turbines include a tower, a gearbox coupled to the tower, and turbine blades coupled to the gearbox. The monitoring system includes blade sensors coupled to the blades, a hub node coupled to the gearbox and a controller. The controller is in communication with the hub node and blade sensors, and determines blade positions based on blade sensor readings. The blade sensors and hub node can include multi-axis accelerometers. The controller can wirelessly communicate with the blade sensors directly or through the hub node. Using position information, shadowing areas with obstructed communication can be avoided, node separation can be accounted for to reduce power requirements and / or interference from multiple transmitters can be avoided during node communications.

Description

technical field [0001] The present invention relates to monitoring and communication systems and techniques, and more particularly to monitoring and communication systems and techniques for wind turbines. Background technique [0002] The use of wind turbines to capture wind energy to provide electrical power is an increasing market demand. The efficiency and lifetime of a wind turbine depends on the condition of the wind turbine, so there are many applications for condition monitoring using sensors mounted on wind turbine blades. Wind turbine blade condition monitoring systems typically use wired communication between sensors attached to the wind turbine blade and a controller that may or may not be located on the wind turbine. The controller detects the sensor readings of the wind turbine blades, runs the necessary algorithms based on the needs of the specific application, and then communicates the decision to the hub node of the wind turbine to take appropriate actions, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F03D7/04H04L29/08
CPCF03D7/047F03D7/048F05B2270/111F05B2270/326Y02E10/72
Inventor C·朗P·沃尔克默M·泽内尔V·贾殷L·文卡特拉曼H·李
Owner ROBERT BOSCH GMBH