Ice detection method and system for wind turbine blades

US9523354B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9523354-B2
Application numberUS-201113809977-A
CountryUS
Kind codeB2
Filing dateJul 12, 2011
Priority dateJul 14, 2010
Publication dateDec 20, 2016
Grant dateDec 20, 2016

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

The invention provides a method and system of detecting ice or other foreign matter on a wind turbine blade or damage to a wind turbine blade. The method in one aspect comprises: measuring twisting torque on the blade about its longitudinal axis to provide a detected torque signal; comparing a value based on the detected torque signal with a comparison value, the comparison value derived from one or more measured parameters having a predetermined relationship with the twisting torque about the longitudinal axis of the blade when the blade is operating under normal operating conditions; and determining that ice or other foreign matter is on the blade or that the blade is damaged if the value based on the detected torque signal differs from the comparison value by more than a predetermined amount. Wind turbine blades are designed such that any change in the shape of the blade reduces twisting torque on the blades significantly. Torque about the longitudinal axis of the blade can therefore be used as a sensitive indicator of ice on the blade and of damage to the blade.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method of detecting ice or other foreign matter on a windturbine blade or damage to a wind turbine blade, the wind turbine blade mounted to a hub and having a longitudinal axis extending away from the hub, comprising: measuring twisting torque on the blade about its longitudinal axis to provide a detected torque signal; comparing the detected torque signal with a comparison value, the comparison value derived from one or more measured parameters having a predetermined relationship with the twisting torque about the longitudinal axis of the blade when the blade is operating under normal operating conditions, wherein the one or more measured parameters comprise bending moments on the blade; and determining that ice or other foreign matter is on the blade or that the blade is damaged if the detected torque signal differs from the comparison value by more than a predetermined amount. 2. A method according to claim 1 , further comprising the step of establishing a relationship between the bending moments on the blade and the twisting torque about the longitudinal axis of the blade under normal operating conditions. 3. A method according to claim 1 , further comprising measuring the bending moments on the blade. 4. A method according to claim 3 , wherein the step of measuring the bending moments comprises: locating at least three strain sensors on the turbine blade, in use each strain sensor providing a strain measurement, the strain sensors located such that edgewise and flapwise bending moments can be determined from the strain measurements; calculating a plurality of resultant bending strains using the strain measurements; and calculating an average resultant bending strain from the plurality of resultant bending strains. 5. A method according to claim 4 , further comprising the step of calculating a confidence value for the average resultant bending strain. 6. A method according to claim 5 , wherein the confidence value for the average resultant bending strain is based on a comparison of the plurality of resultant bending strains with each other, or based on a comparison of the plurality of resultant bending strains with the average resultant bending strain. 7. A method according to claim 4 , wherein the at least three strain sensors are all substantially equidistant from a root end of the blade. 8. A method according to claim 4 , wherein each resultant bending strain is calculated from bending strain measurements taken from a different pair of the at least three strain sensors, where the strain sensors in each pair provide bending strain measurements in directions non-parallel to one another. 9. A method according to claim 4 , wherein the step of measuring the bending strain further comprises the step of calculating a confidence value for a first strain sensor of the at least three strain sensors based on a comparison of the resultant bending strain derived from the strain measurement from the first strain sensor with the average resultant bending strain. 10. A method according to claim 9 , wherein locating the at least three strain sensors on the turbine blade comprises locating at least four strain sensors on the turbine blade; and further comprising the step of comparing the confidence value for the first sensor with a confidence threshold, and if the confidence value for the first sensor is less than the confidence threshold, re-calculating an average resultant bending strain without using the strain measurement from the first strain sensor. 11. A method according to claim 4 , wherein the at least three strain sensors are located to provide bending strain measurements in at least three nonparallel directions. 12. A method according to claim 4 , wherein each of the at least three strain sensors is an optical strain sensor. 13. A method according to claim 4 , wherein locating the at least three strain sensors on the turbine blade comprises locating at least five strain sensors on the turbine blade. 14. A method according to claim 4 , wherein the at least three strain sensors are located symmetrically around the longitudinal axis of the blade. 15. A method according to claim 1 , wherein the step of measuring twisting torque on the blade about its longitudinal axis comprises locating strain sensors on the blade. 16. A method according to claim 15 , wherein the strain sensors are located such that twisting torque and the bending moment can be derived from outputs of the strain sensors. 17. A method according to claim 16 , wherein the strain sensors comprise at least one pair of adjacent strain sensors, and wherein the step of measuring twisting torque comprises locating the at least one pair of adjacent strain sensors on the blade such that their sensitive axes are non-parallel with the longitudinal axis of the blade. 18. A method according to claim 17 , wherein the sensitive axes of each pair of adjacent strain sensors are disposed symmetrically about a line parallel with the longitudinal axis of the blade. 19. A system for detecting ice or other foreign matter on a wind turbine blade or damage to a wind turbine blade, the wind turbine blade mounted to a hub and having a longitudinal axis extending away from the hub, comprising: one or more strain sensors mounted on the turbine blade and configured to provide a measure of the twisting torque on the blade about its longitudinal axis; and a processor configured to: compare the measure of the twisting torque with a comparison value, wherein the processor is configured to calculate the comparison value based on one or more measured parameters having a predetermined relationship with the twisting torque about the longitudinal axis of the blade when operating under normal operating conditions, and wherein the one or more measured parameters comprise a bending moment on the blade; and determine that ice or other foreign matter is on the blade, or that the blade is damaged if the value based on the measure of the twisting torque differs from the comparison value by more than a predetermined amount. 20. A system according to claim 19 , wherein the one or more strain sensors are configured to allow both twisting torque about the longitudinal axis of the blade and bending moments on the blade to be derived from their outputs. 21. A system according to claim 20 , wherein the one or more strain sensors comprise at least one pair of adjacent strain sensors positioned on the blade such that their sensitive axes are non-parallel with the longitudinal axis of the blade.

Assignees

Inventors

Classifications

  • Redundancy · CPC title

  • Mechanical loads · CPC title

  • Cross-Sectional Technologies · mapped topic

  • Mechanical Engineering · mapped topic

  • F03D17/00Primary

    Monitoring or testing of wind motors, e.g. diagnostics (testing during commissioning of wind motors F03D13/30) · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9523354B2 cover?
The invention provides a method and system of detecting ice or other foreign matter on a wind turbine blade or damage to a wind turbine blade. The method in one aspect comprises: measuring twisting torque on the blade about its longitudinal axis to provide a detected torque signal; comparing a value based on the detected torque signal with a comparison value, the comparison value derived from o…
Who is the assignee on this patent?
Olesen Ib Svend, Vestas Wind Sys As
What technology area does this patent fall under?
Primary CPC classification F03D11/0025. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Dec 20 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).