Blade monitoring system

1. A system, comprising:

a turbine including a compressor having at least one row of a plurality of blades;

a sensor for sensing a blade passing signal of at least one of the plurality of blades;

an analog signal transmitter for transmitting an analog signal for the blade passing signal;

a signal splitter for splitting the analog signal into at least two split analog signals;

at least two analog-to-digital (AD) converters, each AD converter converting each split analog signal to at least two digital waveform samples; and a blade monitoring system that:

calculates at least two interpolated threshold crossings, each interpolated threshold crossing calculated from at least two digital waveform samples from each AD converter, wherein the at least two digital waveform samples connect a digital waveform sample coordinates line and each interpolated threshold crossing is where the digital waveform sample coordinates line crosses a predetermined threshold level; and

calculates an average threshold crossing (ATC) of the at least two interpolated threshold crossings.

2. The system of claim 1 , wherein the blade monitoring system further:

calculates at least two ATC, at least one for an ascending side of a pulse and at least one for a descending side of the pulse; and

calculates a centroid of the pulse (CP) by averaging the ATC for the ascending side of the pulse and the ATC for the descending side of the pulse.

3. The system of claim 2 , further comprising:

a once-per-turn sensor for sensing a timing reference (TR);

a timing reference transmitter for transmitting the TR; and

the blade monitoring system further:

receives the TR: and

calculates a time of arrival (TOA) by subtracting the TR from at least one of ATC and CP.

4. The system of claim 3 , wherein the blade monitoring system further:

receives an expected time of arrival (ETOA); and

calculates a change of TOA (ΔTOA) by subtracting ETOA from TOA.

5. The system of claim 4 , wherein the blade monitoring system further comprises determining whether the compressor blade is damaged based upon a change of TOA (ΔTOA).

6. The system of claim 1 , wherein the turbine may be selected from a group consisting of: a gas turbine and a steam turbine.

7. The system of claim 1 , wherein the sensor senses the blade passing signal using at least one of optical sensing, capacitive sensing, microwave sensing or eddy current sensing.

8. A method, comprising:

sensing a blade passing signal of at least one blade;

creating an analog signal for the blade passing signal;

splitting the analog signal into at least two split analog signals;

converting each split analog signal to at least two digital waveform samples; and

calculating an interpolated threshold crossing for each of the at least two digital waveform samples, wherein at least two interpolated threshold crossings are calculated, wherein the at least two digital waveform samples connect a digital waveform sample coordinates line and each interpolated threshold crossing is where the digital waveform sample coordinates line crosses a predetermined threshold level; and

calculating an average threshold crossing (ATC) of the at least two interpolated threshold crossings.

9. The method of claim 8 , further comprising:

receiving at least two ATC, at least one for an ascending side of a pulse and at least one for a descending side of the pulse; and

calculating a centroid of the pulse (CP) by averaging the ATC for the ascending side of the pulse and the ATC for the descending side of the pulse.

10. The method of claim 9 , further comprising:

sensing a timing reference (TR);

receiving the TR; and

calculating a time of arrival (TOA) by subtracting the TR from at least one of the ATC and the CP.

11. The method of claim 10 , further comprising:

receiving an expected time of arrival (ETOA); and

calculating a change of TOA (ΔTOA) by subtracting ETOA from TOA.

12. The method of claim 11 , further comprising:

determining whether the at least one blade is damaged based upon the ΔTOA.

13. The method of claim 8 , wherein the sensing includes at least one of optical sensing, capacitive sensing, microwave sensing or eddy current sensing.

14. The method of claim 8 , wherein the at least one blade is in a compressor of a turbine.

15. The method of claim 14 , wherein the turbine may be selected from a group consisting of: a gas turbine and a steam turbine.

16. A computer program product comprising program code embodied in at least one non-transitory computer-readable storage medium, which when executed, enables a computer system to implement a method, the method comprising:

receiving at least four digital waveform samples from at least two analog-to-digital (AD) converters, wherein a blade passing signal of a blade on a compressor in a turbine is transmitted as an analog signal, wherein a splitter splits the analog signal, wherein the at least two AD converters convert each split analog signal to at least two digital waveform samples;

calculating an interpolated threshold crossing for the at least two digital waveform samples from each AD converter, wherein at least two interpolated threshold crossings are calculated, wherein the at least two digital waveform samples connect a digital waveform sample coordinates line and each interpolated threshold crossing is where the digital waveform sample coordinates line crosses a predetermined threshold level; and

calculating an average threshold crossing (ATC) of the at least two interpolated threshold crossings.

17. The computer program product of claim 16 , further comprising:

receiving at least two ACT, at least one for an ascending side of a pulse and at least one for a descending side of the pulse; and

calculating a centroid of the pulse (CP) by averaging the ACT for the ascending side of the pulse and the ACT for the descending side of the pulse.

18. The computer program product of claim 17 , further comprising:

receiving a timing reference (TR); and

calculating a time of arrival (TOA) by subtracting the TR from at least one of the ATC or the CP.

19. The computer program product of claim 18 , further comprising:

receiving an expected time of arrival (ETOA); and

calculating a change of TOA (ΔTOA) by subtracting ETOA from TOA.

20. The computer program product of claim 19 , further comprising:

determining whether the blade is damaged based upon the ΔTOA.