Compact Aero-Thermo Model Based Tip Clearance Management
US-2015378364-A1 · Dec 31, 2015 · US
US9645574B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9645574-B2 |
| Application number | US-201013395024-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 7, 2010 |
| Priority date | Sep 8, 2009 |
| Publication date | May 9, 2017 |
| Grant date | May 9, 2017 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
The invention relates to a method for monitoring the condition of rotor blades for wind turbines. It is therefore the object of the invention to increase the accuracy of the monitoring of the condition of rotor blades of wind turbines and to allow a localization of faults or defects and their exact description. In the method in accordance with the invention, eigenvibrations of a rotor blade occurring globally at the rotor blade and locally guided elastic waves are permanently detected with time and spatial resolution using a sensor network and actuator network attached to the rotor blade or using a network arrangement of ultrasound transducers. In addition, elastic waves which are guided periodically at predefinable time intervals and which are respectively emitted by an actuator or ultrasound transducer and detected by sensors or ultrasound transducers are in so doing inspected for variations of the emitted waves.
Opening claim text (preview).
The invention claimed is: 1. A model-based method for monitoring the condition of rotor blades for wind turbines, wherein an eigenvibration of the rotor blade occurring globally at the rotor blade and a locally guided elastic wave is permanently detected with time resolution and space resolution using at least one of a sensor and actuator network attached to a rotor blade and using a network arrangement of ultrasound transducers; elastic waves which are guided periodically at predefinable time intervals and which are respectively emitted by at least one of an actuator and a ultrasound transducer and detected by at least one of a sensor and an ultrasound transducer are inspected for variations of the emitted waves, wherein a detection of emitted guided elastic waves is carried out simultaneously by at least one of a) three sensors and b) three ultrasound transducers; and wherein, in the permanent detection for the global monitoring of the condition, at least one of the signal arrival times and the amplitudes are detected in a predefinable frequency range as a consequence of elastic waves emitted due to structural damage of a rotor blade; wherein at least one of the acoustic energy and the ration of acoustic amplitude to acoustic energy are detected; and wherein a frequency distribution of detected acoustic events, related to the respective position of a sensor or ultrasound transducer, is determined for guided elastic waves which have been detected using sensors or ultrasound transducers. 2. The method in accordance with claim 1 , wherein the guided elastic waves are emitted in a defined form for determining the transfer function of at least one of an actuator and an ultrasound transducer and in so doing an acoustic signature analysis is carried out using at least one of a sensor and an ultrasound transducer. 3. The method in accordance with claim 1 , wherein the transit times of the elastic waves emitted by at least one of an actuator and an ultrasound transducer to another at least one of a sensor and another ultrasound transducer are determined. 4. The method in accordance with claim 1 , wherein the transfer behavior of the rotor blade structure is modeled in cycles from the measured signals for at least one of the vibration speeds, vibration accelerations and local elongations and structural damage is determined by a comparison between an instantaneously identified model with a previously identified model with reference to damage-sensitive model parameters. 5. The method in accordance with claim 4 , wherein modal parameters are extracted from the identified models by operational modal analysis (OMA) and these parameters are compared with the associated simulated parameters. 6. The method in accordance with claim 4 , wherein at least one of eigenfrequencies, eigenmodes and modal damping are used as the parameters. 7. The method in accordance with claim 4 , wherein at least one of variations in and damage to a rotor blade are recognized by a comparison of changed measured signals to at least one of measured signals and simulation models including finite element method simulation (FEM simulation) of at least one of an undamaged rotor blade and the starting structure of a rotor blade. 8. The method in accordance with claim 7 , wherein a localization of respective damage takes place by guided elastic waves which are emitted by a damage event and which are detected by at least three sensors or ultrasound transducers and the position coordinates of the damage are integrated into the simulation model. 9. The method in accordance with claim 4 , wherein, after taking into account detected structural damage which had occurred at a rotor blade in the respective finite element model, at least one of the stress and the remaining load-bearing capacity present at this moment are determined. 10. The method in accordance with claim 1 , wherein local elongations at the rotor blade are determined using at least one of ultrasound transducers and another sensor. 11. The method in accordance with claim 1 , wherein at least one network is formed by at least one of sensors, actuators or ultrasound transducers in which the spacings of adjacent sensors and ultrasound transducers are smaller in critical rotor blade regions exposed to higher stresses than in other regions of the rotor blade. 12. The method in accordance with claim 1 , wherein the events of the model-based methods for local and global monitoring of a condition are combined to one evaluation result. 13. The method in accordance with claim 1 , wherein the guided elastic wave is emitted in a defined form for determining the transfer function of the actuator and in so doing an acoustic signature analysis is carried out using the sensor. 14. The method in accordance with claim 1 , wherein the guided elastic wave is emitted in a defined form for determining the transfer function of the at least one ultrasound transducer and in so doing an acoustic signature analysis is carried out using the at least one ultrasound transducers.
Diagnostics · CPC title
Vibration measurements · CPC title
Monitoring or testing of wind motors, e.g. diagnostics (testing during commissioning of wind motors F03D13/30) · CPC title
Wind turbines · CPC title
based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.