Assembly for turbine engine for measuring vibrations sustained by a rotating blade
US-2016320230-A1 · Nov 3, 2016 · US
US10317276B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10317276-B2 |
| Application number | US-201414514117-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 14, 2014 |
| Priority date | Oct 14, 2014 |
| Publication date | Jun 11, 2019 |
| Grant date | Jun 11, 2019 |
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A method for monitoring for a surge condition includes detecting a surge condition through vibration signals measured at at least one location in a turbomachine. Detecting a surge condition includes determining a ratio-metric indicator R BR by comparing a blade frequency band Ω B to a reference frequency band Ω R . Detecting a surge condition includes calculating a surge score SS with the following equation: SS = R BR - R μ R σ wherein R μ is a sample mean of a set of ratio-metric indicators and R σ is a sample standard deviation of a set of ratio-metric indicators. Detecting a surge condition includes determining whether a surge condition exists based on the surge score.
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What is claimed is: 1. A method for monitoring for a turbomachine for a surge condition, comprising: detecting a surge condition through vibration signals measured at at least one location in a turbomachine, wherein detecting a surge condition includes: determining a ratio-metric indicator, R BR , by comparing a blade frequency band, Ω B , to a reference frequency band, Ω R , wherein determining the ratio-metric indicator R BR includes: determining a time window length for vibration data acquisition; identifying the blade frequency band Ω B and the reference frequency band Ω R ; collecting vibration data with a known sampling rate with at least one accelerometer operable to generate the vibration signals representative of blade vibration and other vibration sources; segmenting the vibration data into slices based on a time window; determining a power spectrum of a given slice of vibration data; obtaining respective residual spectrums from the power spectrum for the blade frequency band Ω B and the reference frequency band Ω R ; and calculating the ratio-metric indicator, R BR , for the given slice of vibration data by comparing the power spectrum of the blade frequency band Ω B and the reference frequency band Ω R with the following equation: R BR = ∑ ω ⋐ Ω B S ( ω ) 2 ∑ ω ⋐ Ω R S ( ω ) 2 wherein S(ω) is the Discrete Fourier Transform, DFT, for a frequency, ω, of the given slice of vibration data; calculating a surge score, SS, with the following equation: SS = R BR - R μ R σ wherein R μ is a sample mean of a set of ratio-metric indicators and R σ is a sample standard deviation of a set of ratio-metric indicators; determining whether a surge condition exists based on the surge score SS; and altering operation of the turbomachine if a surge condition is determined. 2. A method as recited in claim 1 , wherein determining whether a surge condition exists includes statistically analyzing populations of surge scores accumulated in different durations to monitor long term changes and drift. 3. A method as recited in claim 1 , wherein determining if a surge condition exists includes determining that the surge condition does exist if the ratio-metric indicator, R BR , deviates from the sample ratio mean, R μ , more than three times the ratio sample ratio standard deviation, R σ . 4. A method as recited in claim 1 , wherein determining whether a surge condition exists includes estimating the sample ratio mean, R μ , and the sample ratio standard deviation, R σ , from vibration signals obtained in-service as an in-system calibration process. 5. A method as recited in claim 1 , wherein determining the sample ratio mean, R μ , and the sample ratio standard deviation, R σ , includes determining ratio-metric indicator data for different speeds within an operating range under known normal conditions, collecting the ratio-metric indicator data, and calculating the sample ratio mean, R μ , and the sample ratio standard deviation, R σ , based on the collected ratio-metric indicator data. 6. A method as recited in claim 1 , wherein determining the ratio-metric indicator includes determining a respective fan rotation speed from the power spectrum. 7. A method as recited in claim 6 , wherein the step of determining the fan rotation speed includes rejecting data from which the fan rotation speed is considered to be uncertain. 8. A method as recited in claim 6 , wherein obtaining respective residual spectrums from the power spectrum includes removing peaks associated with the respective fan rotation speed and its harmonics in the blade frequency band Ω B and the reference frequency band Ω R . 9. A method as recited in claim 8 , wherein a width of a frequency window for the peaks to be removed is tied to the type of time window being used. 10. A turbomachinery surge monitoring system, comprising: at least one sensor coupled to a compressor system; and a processing unit coupled to the at least one sensor including a plurality of program instructions comprising: program instructions to detect a surge condition through vibration signals measured at at least one location in a turbomachine, wherein program instructions to detect a surge condition include: program instructions to determine a ratio-metric indicator, R BR , by comparing a blade frequency band, Ω B , to a reference frequency band, Ω R , wherein determining the ratio-metric indicator R BR includes: determining a time window length for vibration data acquisition; identifying the blade frequency band Ω B and the reference frequency band Ω R ; collecting vibration data with a known sampling rate with the at least one sensor operable to generate the vibration signals representative of blade vibration and other vibration sources; segmenting the vibration data into slices based on a time window; determining a power spectrum of a given slice of vibration data; obtaining respective residual spectrums from the power spectrum for the blade frequency band Ω B , and the reference frequency band Ω R ; and calculating the ratio-metric indicator, R BR , for the given slice of vibration data by comparing the power spectrum of the blade frequency band Ω B and the reference frequency band Ω R with the following equation: R BR = ∑ ω ⋐ Ω B
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