Monitoring one or more turbine engine rotor blades by correlating measurement data and reference data as a function of time
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
F01D-017/02
F01D-017/20
출원번호
US-0470982
(2012-05-14)
등록번호
US-9512736
(2016-12-06)
발명자
/ 주소
Gendrich, Charles P.
출원인 / 주소
United Technologies Corporation
대리인 / 주소
O'Shea Getz P.C.
인용정보
피인용 횟수 :
0인용 특허 :
8
초록▼
A method is provided for monitoring one or more rotating turbine engine rotor blades using a processing system and a sensor having a measurement field. The method includes steps of: (i) providing measurement data from the sensor as a first of the rotor blades passes through the measurement field; (i
A method is provided for monitoring one or more rotating turbine engine rotor blades using a processing system and a sensor having a measurement field. The method includes steps of: (i) providing measurement data from the sensor as a first of the rotor blades passes through the measurement field; (ii) correlating the measurement data with reference data as a function of time to provide correlation data; and (iii) processing the correlation data to determine a peak correlation value that corresponds to a point in time during the passage of the first of the rotor blades through the measurement field; wherein the correlating and the processing are performed by the processing system.
대표청구항▼
1. A method for monitoring one or more rotating turbine engine rotor blades using a processing system and a blade position sensor having a measurement field, the method comprising: receiving measurement data from the blade position sensor as a first of the rotor blades passes through the measurement
1. A method for monitoring one or more rotating turbine engine rotor blades using a processing system and a blade position sensor having a measurement field, the method comprising: receiving measurement data from the blade position sensor as a first of the rotor blades passes through the measurement field;correlating the measurement data with reference data as a function of time to provide correlation data; andprocessing the correlation data to determine a peak correlation value that corresponds to a point in time during the passage of the first of the rotor blades through the measurement field;determining a time of arrival of the first of the rotor blades at a reference location based on the peak correlation value; andproviding a once per revolution signal based on the time of arrival;determining a property of the rotor blade using the once per revolution signal;wherein the correlating and the processing are performed by the processing system. 2. The method of claim 1, wherein the correlation data includes a plurality of correlation coefficients, and each of the correlation coefficients corresponds to a different point in time during the passage of the first of the rotor blades through the measurement field. 3. The method of claim 2, wherein the peak correlation value comprises a first of the correlation coefficients having a value that is greater than values of the other correlation coefficients. 4. The method of claim 2, wherein the processing comprises fitting a mathematical function to the correlation coefficients, and processing the mathematical function to determine a peak correlation coefficient, wherein the peak correlation value comprises the peak correlation coefficient. 5. The method of claim 2, wherein the correlating is performed using an equation as follows or an equivalent or a derivation thereof: Rt=xy_t-x_t·y_tσxt·σyt,wherein R is the correlation coefficient, xis a time averaged matrix of a plurality of reference values included in the reference data, yis a time averaged matrix of a plurality of measurement values included in the measurement data, σx is a standard deviation of x, σy is a standard deviation of y, and t is a point in time during the passage of the first of the rotor blades through the measurement field. 6. The method of claim 1, further comprising determining the identity of the first of the rotor blades based on the peak correlation value, wherein each of the rotor blades has a different identity. 7. The method of claim 1, further comprising: comparing the peak correlation value to a threshold; andperforming steps as follows where the peak correlation value is less than the threshold: correlating the measurement data with second reference data as a function of time to provide second correlation data, where the reference data corresponds to the first of the rotor blades, and the second reference data corresponds to an adjacent one of the rotor blades;processing the second correlation data to determine a second peak correlation value that corresponds to a second point in time during the passage of the first of the rotor blades through the measurement field; andcomparing the second peak correlation value to the threshold. 8. The method of claim 7, further comprising determining a time of arrival of the first of the rotor blades at a reference location based on the second peak correlation value where the second peak correlation value is greater than the threshold. 9. The method of claim 7, further comprising determining the identity of the first of the rotor blades based on the second peak correlation value where the second peak correlation value is greater than the threshold, wherein each of the rotor blades has a different identity. 10. The method of claim 9, further comprising determining presence of at least one of a once per revolution signal dropout and rotor blade jitter based on the identity of the first of the rotor blades. 11. The method of claim 1, further comprising: correlating second measurement data for a second of the rotor blades with second reference data as a function of time to provide second correlation data;processing the second correlation data to determine a second peak correlation value that corresponds to a second point in time during passage of the second of the rotor blades through one of the measurement field and a second measurement field of a second sensor; anddetermining a property of one or more of the rotor blades based on the peak correlation value and the second peak correlation value, wherein the property comprises at least one of a modal response magnitude and a nodal diameter. 12. The method of claim 1, further comprising: performing the correlating and the processing for a plurality of rotations of the first of the rotor blades around an axis to provide the peak correlation value for each of the rotations; anddetermining a property of the first of the rotor blades based on the peak correlation values. 13. The method of claim 12, wherein the property comprises a time of arrival of the first of the rotor blades at a reference location. 14. The method of claim 12, wherein the property comprises a chordwise deflection of the first of the rotor blades. 15. The method of claim 12, wherein the property comprises at least one of a modal response magnitude and a nodal diameter. 16. The method of claim 1, wherein the processing system is connected to a once per revolution sensor that is discrete from the blade position sensor. 17. A monitoring system for monitoring one or more rotating turbine engine rotor blades, the monitoring system comprising: a sensor having a measurement field, the sensor configured to be mounted with a turbine engine to provide measurement data as a first of the rotor blades passes through the measurement field; anda processing system configured to correlate the measurement data with reference data as a function of time to provide correlation data; andprocess the correlation data to determine a peak correlation value that corresponds to a point in time during the passage of the first of the rotor blades through the measurement field, wherein the correlating and the processing are performed by the processing system;provide second measurement data from a second sensor as the first of the rotor blades passes through a second measurement field of the second sensor;correlate the second measurement data with the reference data as a function of time to provide second correlation data;process the second correlation data to determine a second peak correlation value that corresponds to a point in time during the passage of the first of the rotor blades through the second measurement field; anddetermine a property of the first of the rotor blades based on the peak correlation value and the second peak correlation value. 18. The monitoring system of claim 17, wherein the property comprises a time of arrival of the first of the rotor blades at a reference location. 19. The monitoring system of claim 17, wherein the property comprises a chordwise deflection of the first of the rotor blades. 20. The monitoring system of claim 17, wherein the property comprises a modal response magnitude and/or a nodal diameter.
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