IP Library Granted Patent US 10,908,048
Granted Patent B2
US 10,908,048 · App. 15/156,311 · Granted Feb 2, 2021

Machine health monitoring system and method

Inventors: Jacob J. Loverich (State College, PA); Jeremy E. Frank (Pine Grove Mills, PA); David R. Kraige (State College, PA)
Assignee: KCF TECHNOLOGIES, INC.
G01M13/00G01M99/008G01N29/14G01N29/2481G01N29/4472G01N2291/0258G05B23/0283
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Quick Facts
Patent No.
US 10,908,048
App. No.
15/156,311
Granted
Feb 2, 2021
Kind
B2
Abstract

A machine health monitoring method may include receiving vibration data indicating vibration of a machine or a component of the machine, determining damage to the machine or the component for each of a plurality of load cycles based on the vibration data, determining the time rate of change of the damage to the machine or the component over the plurality of load cycles, and determining a damage rate based on the time rate of change of the damage to the machine or the component relative to a baseline damage rate.

Claims (42)

1. A machine health monitoring method, comprising:

receiving vibration data from a sensor coupled with a machine or a component of the machine, the machine being a fan, a pump, or a motor, the vibration data indicating vibration of the machine or the component of the machine;

determining a baseline damage rate for the machine or the component based on the vibration data;

determining damage to the machine or the component for each of a plurality of load cycles based on the vibration data;

determining the time rate of change of the damage to the machine or the component over the plurality of load cycles;

determining a damage rate based on the time rate of change of the damage to the machine or the component relative to the baseline damage rate; and

outputting, based on the determined damage rate, an indication of health of the machine or the component.

2. The method of claim 1 , wherein the step of determining the damage for each of the plurality of load cycles comprises determining the damage for each of the plurality of load cycles at a critical failure-prone location as proportional to a load on the machine or the component raised to a material-dependent exponent.

3. The method of claim 1 , wherein the step of determining the damage for each of the plurality of load cycles comprises relating a load on the machine or the component to one or more measurements from the vibration data using a transfer function.

4. The method of claim 3 , wherein the transfer function is frequency dependent.

5. The method of claim 3 , wherein the load is proportional to acceleration.

6. The method of claim 3 , wherein the load is proportional to velocity.

7. The method of claim 3 , wherein the load is proportional to displacement.

8. The method of claim 3 , further comprising:

acquiring the one or more vibration measurements using wireless vibration accelerometers.

9. The method of claim 1 , wherein the step of determining the damage rate comprises determining one or more damage rates from one or more sensors at the machine or the component.

10. A machine health monitoring apparatus, comprising:

a processor configured to receive vibration data from a sensor coupled with a machine or a component of the machine, the machine being a fan, a pump, or a motor, the vibration data indicating vibration of the machine or the component of the machine, the processor being configured to:

determine a baseline damage rate for the machine or the component based on the vibration data;

determine damage to the machine or the component for each of a plurality of load cycles based on the vibration data;

determine the time rate of change of the damage to the machine or the component over the plurality of load cycles;

determine a damage rate based on the time rate of change of the damage to the machine or the component relative to a baseline damage rate; and

outputting, based on the determined damage rate, an indication of health of the machine or the component.

11. The apparatus of claim 10 , wherein the processor is configured to determine the damage for each of the plurality of load cycles at a critical failure-prone location as proportional to a load on the machine or the component raised to a material-dependent exponent.

12. The apparatus of claim 10 , wherein the processor is configured to determine the damage for each of the plurality of load cycles by relating a load on the machine or the component to one or more measurements from the vibration data using a transfer function.

13. The apparatus of claim 12 , wherein the transfer function is frequency dependent.

14. The apparatus of claim 12 , wherein the load is proportional to one of acceleration, velocity, or displacement.

15. The apparatus of claim 10 , wherein the processor is configured to determine one or more damage rates from one or more sensors at the machine or the component.

16. A machine health monitoring system, comprising:

at least one vibration sensor coupled with a machine or a component of the machine, the machine being a fan, a pump, or a motor, the at least one vibration sensor being configured to sense vibration of the machine or the component of the machine;

a wireless receiver configured to receive vibration data from the at least one vibration sensor, the vibration data indicating vibration of the machine or the component of the machine; and

a processor configured to receive the vibration data from the wireless receiver, the processor being configured to:

determine a baseline damage rate for the machine or the component based on the vibration data;

determine damage to the machine or the component for each of a plurality of load cycles based on the vibration data;

determine the time rate of change of the damage to the machine or the component over the plurality of load cycles; and

determine a damage rate based on the time rate of change of the damage to the machine or the component relative to the baseline damage rate; and

outputting, based on the determined damage rate, an indication of health of the machine or the component.

17. The system of claim 16 , wherein the processor is configured to determine the damage for each of the plurality of load cycles at a critical failure-prone location as proportional to a load on the machine or the component raised to a material-dependent exponent.

18. The system of claim 16 , wherein the processor is configured to determine the damage for each of the plurality of load cycles by relating a load on the machine or the component to one or more measurements from the vibration data using a transfer function.

19. The system of claim 18 , wherein the transfer function is frequency dependent.

20. The system of claim 18 , wherein the load is proportional to one of acceleration, velocity, or displacement.

21. The system of claim 16 , wherein the processor is configured to determine one or more damage rates from one or more sensors at the machine or the component.

Assignments (2)
SECURITY INTEREST Recorded Aug 26, 2025
From: KCF TECHNOLOGIES, INC.
To: WESTERN ALLIANCE BANK, AS AGENT
Reel/Frame 072121/0262 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 7, 2017
From: LOVERICH, JACOB; FRANK, JEREMY; KRAIGE, DAVID
To: KCF TECHNOLOGIES, INC.
Reel/Frame 042723/0060 →
Continuity (2)
Provisional Application 62161711 · May 14, 2015
Related Publication 20160370259A1 · Dec 22, 2016
Cited By (1)
US 12,276,492