Energy Separation System, Method, and Program Product for Detecting Faulty Bearings

• US 20130297257A1
• Filed: 05/04/2012
• Published: 11/07/2013
• Est. Priority Date: 05/04/2012
• Status: Abandoned Application

• Current Assignee: Jun Yang
• Original Assignee: Jun Yang
• Inventors: Yang, Jun
• Application Number:
  US13/464,867
• Publication Number:
  US 20130297257A1
• Time in Patent Office: Days
• US Class Current: 702/183
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis
• CPC Class Codes: G01N 2291/2696 Wheels, Gears, Bearings
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/4463 Signal correction, e.g. distance amplitude correction [DAC], distance gain size [DGS], noise filtering

Abstract

A faulty bearing detection system provides means and methods for detecting a fault associated with a bearing. The fault detection system includes a vehicle with bearings and a computerized system to separate multiple vibrations from, chiefly the shaft, to identify the amount of faults in the bearings. The system converts mechanical information to electrical information, filters periodic signals for removal, filters background noise, and performs an energy ratio calculation for determining a potential fault condition and communicates the status of a bearing fault condition. By separating the bearing faulty impulse signals from the raw vibration signals, the bearing faulty signal-to-noise ratio is improved. Furthermore, by calculating the energy ratio between the bearing faulty signals and the periodic vibration signals, the loading effects added to the traditional bearing features are removed.

Claims

1. A method for detecting a faulty bearing comprising the steps of:

(a) converting at least one mechanical energy to at least one electrical signal;

(b) filtering said an electrical signal;

(c) calculating a bearing fault feature, said calculation being at least in part based on an energy ratio between an impulsive signal and a periodic signal; and

(d) at least in part based on said bearing fault feature, deciding if said faulty bearings exist.

2. The method of claim 1, in which said step (a) further comprises detecting a periodic vibration signal from said faulty bearing.

3. The method of claim 2, in which said step (a) further comprises detecting an impulse signal from said faulty bearing.

4. The method of claim 3, in which said step (a) further comprises detecting a background noise signal from said faulty bearing.

5. The method of claim 4, in which said step (a) further comprises converting said periodic vibration signal to said electrical signal.

6. The method of claim 5, in which said step (a) further comprises converting said impulse signal to said electrical signal.

7. The method of claim 6, in which said step (a) further comprises converting said background noise signal to said electrical signal.

8. The method of claim 7, in which said step (b) further comprises summing said periodic vibration signal, and said impulse signal, and said background noise signal.

9. The method of claim 8, in which said step (b) further comprises separating said periodic vibration signal from said impulse signal, said separation being achieved at least in part based on an auto-regressive model.

10. The method of claim 9, in which said step (b) further comprises delaying said periodic vibration signal.

11. The method of claim 10, in which said step (b) further comprises multiplying said periodic vibration signal.

12. The method of claim 11, in which said step (b) further comprises subtracting said periodic vibration signal from said impulse signal.

13. The method of claim 12, in which said step (b) further comprises filtering said background noise signal with said threshold de-noising portion.

14. The method of claim 13, in which said step (b) further comprises separating said impulse signal from said periodic vibration signal.

15. The method of claim 14, in which said step (c) further comprises calculating said ratio between said impulse signal and said periodic vibration signal.

16. The method of claim 1, wherein said step (b) separates said periodic vibration signal from said impulse signal for calculating said ratio.

17. A system for detecting faulty bearings comprising:

means for converting at least one mechanical energy to at least one electrical signal;

means for filtering said at least one electrical signal;

means for calculating a ratio; and

means for deciding if said faulty bearings exist.

18. A computer program product comprising:

(a) computer code for detecting a periodic vibration signal from a faulty bearing;

(b) computer code for detecting an impulse signal from said faulty bearing;

(c) computer code for detecting a background noise signal from said faulty bearing;

(d) computer code for converting said periodic vibration signal to an electrical signal;

(e) computer code for converting said impulse signal to said electrical signal;

(f) computer code for converting said background noise signal to said electrical signal;

(g) computer code for summing said periodic vibration signal, and summing impulse signal, and said background noise signal;

(h) computer code for separating said periodic vibration signal from said impulse signal;

(i) computer code for delaying said periodic vibration signal;

(j) computer code for multiplying said periodic vibration signal;

(k) computer code for subtracting said periodic vibration signal from said impulse signal;

(l) computer code for filtering said background noise signal;

(m) computer code for separating said impulse signal from said periodic vibration signal;

(n) computer code for calculating a ratio; and

(o) computer code for deciding if said faulty bearing exists.