Granted Patent B2

US 7,065,454 · App. 10/922,258 · Granted Jun 20, 2006

Abstract

Claims (43)

1. A method for assisting a user in analyzing particles in a fluid sample from a machine, the method comprising the steps of:

obtaining a sample of fluid from a machine;

measuring parameters of particles in the fluid, the parameters including a count of particles and a size of substantially each particle counted;

calculating a particle count size distribution for the fluid sample wherein the total count of particles for a plurality of sizes is determined;

calculating a particle volume for each of the particles and determining a total volume for each particle size; and

providing information to a user including a volume size distribution showing the total particle volume for each particle size.

2. The method of claim 1 , further comprising the step of:

calculating the total particle volume present in the fluid sample, wherein the total particle volume present in the fluid sample is included in the information provided to the user.

3. The method of claim 1 , further comprising the step of:

calculating the particle volume for at least one particle size range, wherein the at least one particle size range includes a plurality of particle sizes, and further wherein the particle volume for the at least one particle size range is included in the information provided to the user.

4. The method of claim 1 , wherein the particle volume is calculated by assuming each particle is spherical.

5. The method of claim 1 , wherein the volume size distribution is displayed as a normalized distribution curve.

6. A method for assisting a user in analyzing particles in a fluid sample from a machine, the method comprising the steps of:

obtaining a particle count for each of a plurality of particle sizes in a fluid sample;

calculating a particle count size distribution for the fluid sample;

calculating a normalized curve from the particle count size distribution; and

comparing the normalized curves to a plurality of stored curves within a database, wherein each of the plurality of stored curves is associated with a particular type of machine condition;

identifying at least one of the plurality of stored curves based on the fit between the normalized curve and the plurality of stored curves.

7. The method of claim 6 , wherein comparing the normalized curve to the plurality of stored curves is performed using a best fit analysis.

8. The method of claim 6 , wherein each of the plurality of stored curves are associated with a particular type of machinery problem.

9. The method of claim 8 , further comprising the step of calculating a confidence factor for each type of machinery problem based on the fit between the normalized curve and each of the plurality of stored curves.

10. The method of claim 9 , further comprising the step of providing information to a user, wherein the information includes the machinery problem having the highest confidence factor.

11. The method of claim 9 , further comprising the step of providing information to a user, wherein the information includes at least one machinery problem and the confidence factor for each of the at least one machinery problems.

12. The method of claim 6 , wherein the plurality of stored curves are associated with properties of the particles.

13. The method of claim 6 , wherein each of the plurality of stored curves are associated with a particular particle material.

14. The method of claim 13 , further comprising the step of calculating a particle volume relative to each particle size.

15. The method of claim 14 , further comprising the step of calculating the mass of the particles in the fluid sample based on the particle volume and a density of the particular materials associated with the at least one of the plurality of stored curves which best fit the normalized curve.

16. The method of claim 15 , further comprising the step of providing information to a user, wherein the information includes the mass of the particles in the fluid sample.

17. The method of claim 16 , wherein the information further includes a confidence factors, wherein the confidence factor is calculated based on the fit between the normalized curve and the at least one plurality of stored curves which best fit the normalized curve.

18. A method for assisting a user in analyzing particles in a fluid sample obtained from a machine, the method comprising the steps of:

obtaining a particle count for each particle size from a fluid sample;

calculating a particle count size distribution for the fluid sample;

calculating a particle volume relative to each particle size;

calculating the total particle volume present in the fluid sample;

calculating the particle volume for at least one particle size range;

calculating a normalized curve from the particle count size distribution;

comparing the normalized curves to a plurality of stored curves within a database, wherein each of the plurality of stored curves are associated with a particular type of machinery problem;

calculating a confidence factor for each type of machinery problem based on the fit between the normalized curve and each of the plurality of stored curves; and

providing information to a user including a volume size distribution showing particle volume in relation to particle size, the total particle volume present in the fluid sample, the particle volume for at least one particle size range, and at least one the machinery problems having the highest confidence factor.

19. The method of claim 18 , further comprising the steps of:

comparing the normalized curves to a plurality of stored curves within a database, wherein each of the plurality of stored curves are associated with a particular particle material;

calculating a particle volume relative to each particle size; and

calculating the mass of the particles in the fluid sample based on the particle volume and a density of the particular materials associated with the at least one plurality of stored curves which best fit the normalized curve, wherein the mass of the particles is included in the information provided to the user.

Assignments (8)