Active oil debris monitor particle detection and monitoring system
A method for determining the presence of a particle while actively calculating and monitoring oil debris monitor phase angle in an oil system including collecting I and Q channel data from an oil debris monitor sensor, performing a fast Fourier transform on the I and Q channel data, extracting a shape from the fast Fourier transform, and determining whether a particle is present from the shape.
1. A method for determining the presence of a particle while actively calculating and monitoring oil debris monitor phase angle in an oil system, comprising:
sensing a noise from an in-line oil debris monitor sensor in an oil flow path of the oil system;
collecting I and Q channel data from the oil debris monitor sensor;
performing a fast Fourier transform on the I and Q channel data;
extracting a shape from the fast Fourier transform; and
determining whether the particle is present from the shape;
generating a polar plot of the I and Q channel data from only the noise;
identifying a multiple of noise peaks in the polar plot;
determining a linear regression of the noise peaks;
calculating a slope of regression from the linear regression;
converting the slope to a phase angle; and
using the phase angle to classify detected particle types.
2. The method as recited in claim 1 , wherein the determining step comprises determining a predetermined shape from the fast Fourier transform.
3. The method as recited in claim 1 , wherein determining whether the particle is present from the shape comprises identifying a bow shape.
4. The method as recited in claim 1 , wherein determining whether the particle is present from the shape comprises comparing the shape with a predetermined shape.
5. The method as recited in claim 1 , further comprising continually filling a buffer of the controller with the I and Q channel data.
6. The method as recited in claim 1 , further comprising converting the I and Q channel data to digital I and Q data within a controller on-board an aircraft.
7. The method as recited in claim 6 , further comprising locating the oil debris monitor sensor within an oil supply path.
8. The method as recited in claim 6 , further comprising locating the oil debris monitor sensor within an oil return path.
9. The method as recited in claim 1 , wherein the particle types comprise ferrous or nonferrous particle types.
10. A method for determining the presence of a particle while actively calculating and monitoring oil debris monitor phase angle in an oil system, comprising:
sensing a noise from an in-line oil debris monitor sensor in an oil flow path of the oil system;
collecting I and Q channel data from the oil debris monitor sensor;
performing a fast Fourier transform on the I and Q channel data;
extracting a shape from the fast Fourier transform;
determining whether the particle is present from the shape;
rejecting a detected particle that meets a predetermined symmetry, a predetermined amplitude, and a predetermined lobe width in the shape from the fast Fourier transform.
11. The method as recited in claim 10 , wherein the detected particle type is rejected in response to a comparison of the detected particle shape to a predetermined shape in the fast Fourier transform at a predetermined frequency.
12. An oil system for a gas turbine engine, comprising:
an oil flow path;
an in-line oil debris monitor sensor;
a control system in communication with the in-line oil debris monitor sensor to determine whether a particle is present from identification of a bow shape in a fast Fourier transform of I and Q channel data from the in-line oil debris monitor sensor, the control system operable to:
collecting I and Q channel data from the oil debris monitor sensor;
performing a fast Fourier transform on the I and Q channel data;
extracting a shape from the fast Fourier transform;
determining whether a particle is present from the shape;
generating a polar plot of the I and Q channel data from only the noise;
identifying a multiple of noise peaks in the polar plot;
determining a linear regression of the noise peaks;
calculating a slope of regression from the linear regression;
converting the slope to a phase angle; and
using the phase angle to classify detected particle types.
13. The system as recited in claim 12 , wherein the oil flow path is in communication with a geared architecture of the gas turbine engine.
14. The system as recited in claim 12 , wherein the oil flow path is an oil supply path.
15. The system as recited in claim 12 , wherein the oil flow path is an oil return path.
16. The system as recited in claim 12 , further comprising a chip collector within the oil flow path.
17. The system as recited in claim 12 , wherein the control system comprises a controller on-board an aircraft.
18. The system as recited in claim 12 , wherein the fast Fourier transform of I and Q channel data is performed at a predetermined frequency and phase angle.