Methods and systems to monitor health of rotor blades

• US 9,657,588 B2
• Filed: 12/26/2013
• Issued: 05/23/2017
• Est. Priority Date: 12/26/2013
• Status: Active Grant

• Current Assignee: GE Infrastructure Technology, LLC (General Electric Company)
• Original Assignee: General Electric Company
• Inventors: Behera, Ajay Kumar, Panicker, Mahesh Raveendranatha, Rajagopalan, Venkatesh, Ryali, Venkatarao, Hazra, Budhaditya, Badami, Vivek Venugopal
• Primary Examiner(s): Yi, Roy Y
• Application Number:
  US14/140,634
• Publication Number:
  US 20150184536A1
• Time in Patent Office: 1,244 Days
• Field of Search: 702183
• CPC Class Codes: F01D 21/003 Arrangements for testing or measuring for measuring vibrations G01H
• CPC Class Codes: F05D 2260/80 Diagnostics
• CPC Class Codes: F05D 2270/304 Spool rotational speed
• CPC Class Codes: F05D 2270/80 Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges

Abstract

A system for monitoring health of a rotor is presented. The system includes a processing subsystem that generates a measurement matrix based upon a plurality of resonant-frequency first delta times of arrival vectors corresponding to a blade and a first sensing device, and a plurality of resonant-frequency second delta times of arrival vectors corresponding to the blade and a second sensing device, generates a resonant matrix based upon the measurement matrix such that entries in the resonant matrix are substantially linearly uncorrelated and linearly independent, and generates a resonance signal using a first subset of the entries of the resonant matrix, wherein the resonance signal substantially comprises common observations and components of the plurality of resonant-frequency first delta times of arrival vectors and the plurality of resonant-frequency second delta times of arrival vectors.

Claims

1. A system for monitoring health of a rotor, comprising:

a first sensing device for measuring a first Blade Passing Signal (BPS) of a blade of a rotor at a reference point;

a second sensing device for measuring a second Blade Passing Signal (BPS) of the blade at the reference point; and

a processing subsystem for detecting an existence of a defect in the blade by;

receiving the first BPS from the first sensing device and receiving the second BPS from the second sensing device, and determining first actual Time of Arrivals (TOAs) of the blade at the reference point and determining second actual Time of Arrivals (TOAs) of the blade at the reference point;

determining first delta TOAs based on a difference between the first actual TOAs and an expected TOA of the blade at the reference point, and determining second delta TOAs based on the second actual TOAs and the expected TOA of the blade at the reference point;

determining first delta TOAs vectors and second delta TOAs vectors based on the first delta TOAs and the second delta TOAs, respectively;

selecting resonant-frequency first delta TOAs vectors and resonant-frequency second delta TOAs vectors from the first delta TOAs and the second delta TOAs, respectively, corresponding to resonant-frequency rotor speeds regions of the blade;

generating a measurement matrix based on the resonant-frequency first delta TOAs vectors and the resonant-frequency second delta TOAs vectors;

generating a resonant matrix based on the measurement matrix; and

comparing the resonant matrix to a historical resonant-frequency rotor speeds of the blade generated when there are no defects in the blade to determine an existence of a defect in the blade.

2. The system of claim 1, wherein the resonant-frequency rotor speeds regions of the blade are determined by:

generating a plurality of first frequency peak values and a plurality of second frequency peak values by iteratively shifting a first window of signals and a second window of signals along the first delta TOAs and the second delta TOAs, respectively.

3. The system of claim 1, wherein a width of the first window of signals is greater than a width of the second window of signals.

4. The system of claim 1, wherein the processing subsystem generates the plurality of first frequency peak values corresponding to the first window of signals by:

selecting a first subset of the delta TOAs contained in the first window of signals;

generating a first frequency peak value in the plurality of first frequency peak values based upon the first subset of the delta TOAs;

shifting the first window of signals along the delta TOAs to determine a shifted first window of signals;

selecting a second subset of the delta TOAs contained in the shifted first window of signals;

generating a subsequent first frequency peak value in the plurality of first frequency peak values based upon the second subset of the delta TOAs; and

determining the plurality of first frequency peak values by iteratively shifting the first window of signals along the delta TOAs and selecting a respective subset of the delta TOAs,

wherein the plurality of first frequency peak values is a subset of the plurality of frequency peak values.

5. The system of claim 3, wherein the shifted first window of signals does not completely overlap the first window of signals.

6. The system of claim 3, wherein the processing subsystem generates the first frequency peak value in the plurality of first frequency peak values based upon the first subset of the delta TOAs by:

determining a frequency signal corresponding to the first subset of the delta TOAs by determining a Fourier transform of the first subset of the delta TOAs;

selecting synchronous frequencies from the frequency signal; and

selecting a frequency having a highest amplitude in the synchronous frequencies; and

determining the first frequency peak value equal to the highest amplitude in the synchronous frequencies.

7. The system of claim 1, wherein the first and second sensors measure an arrival of a leading edge of the rotor blade.

8. The system of claim 1, wherein the first and second sensors measure an arrival of a trailing edge of the rotor blade.

9. The system of claim 1, wherein the processing subsystem preprocesses the first actual TOAs and the second actual TOAs to remove noise and asynchronous frequencies from the first actual TOAs and the second actual TOAs.

10. The system of claim 1, wherein the processing subsystem preprocesses the first actual TOAs and the second actual TOAs by applying at least one of a smoothening filtering technique and a median filtering technique to the first actual TOAs and the second actual TOAs.

11. The system of claim 1, wherein the measurement matrix is generated by applying at least one of a polynomial curve fitting technique or a wavelet based curve fitting technique to remove a trend from the initial matrix.

12. The system of claim 1, wherein the processing subsystem further determines the first delta TOAs and the second delta TOAs during a start-up state of the rotor, a transient state of the rotor, a steady state of the rotor, over-speed state of the rotor, or combinations thereof.

13. The system of claim 1, wherein the resonant matrix is determined by applying at least one of a whitening technique, a cumulant matrix estimation technique, and a matrix rotation technique.

14. The system of claim 1, wherein the resonant matrix comprises cleaned resonant-frequency delta TOAs vectors and noise data.

15. The system of claim 14, wherein the resonant matrix comprises a row of the resonant-frequency delta TOAs vectors, and another row of the noise data.

16. The system of claim 1, wherein the variation in the resonant-frequency rotor speeds of the blade with respect to the historical resonant-frequency rotor speeds of the blade is determined by applying a correlation function that results in an index value and a correlation value.

17. The system of claim 16, wherein the index value is a measurement of a phase shift between a resonance signal and a historical resonance signal.

18. The system of claim 16, wherein the correlation value is a measurement of a correlation or similarity between a resonance signal and a historical resonance signal.

19. The system of claim 16, wherein the existence of the defect is based on the index value, the correlation value and a correlation chart.

20. The system of claim 19, wherein the correlation chart comprises includes a first quadrant representing a relatively low index value and a relatively high correlation value, a second quadrant representing a relatively high index value and a relatively high correlation value, a third quadrant representing a relatively high index value and a relatively low correlation value, and a fourth quadrant representing a relatively low index value and a relatively low correlation value.