METHOD, COMPUTER PROGRAM PRODUCT & SYSTEM

• US 20160069775A1
• Filed: 04/05/2013
• Published: 03/10/2016
• Est. Priority Date: 04/05/2013
• Status: Active Grant

• Current Assignee: ABet SKF
• Original Assignee: ABet SKF
• Inventors: THOMSON, Allan
• Granted Patent: US 10,677,685 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01M 13/04 Bearings
• 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 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06

Abstract

A method for processing data obtained from a condition monitoring system, which comprises the step of obtaining dynamic signal data in the form of a time waveform and/or a Fast Fourier Transform (FFT) from at least one sensor. The method comprises the step of extracting at least two parameters from the time waveform and/or FFT and transmitting or displaying the at least two parameters instead of the dynamic signal time waveform data and/or a Fast Fourier Transform (FFT).

Claims

1. A method for processing data obtained from a condition monitoring system, the method comprising steps of:

obtaining dynamic signal data in a form of one of a time waveform and a Fast Fourier Transform (FFT) from at least one sensor;

extracting at least two parameters from at least one of the time waveform and the Fast Fourier Transform FFT; and

one of;

transmitting or displaying the at least two parameters instead of at least one of the dynamic signal time waveform data and the Fast Fourier Transform (FFT).

2. The method according to claim 1, wherein the step of extracting at least two parameters is carried out using one of:

Discrete Wavelet Transform (DWT), Continuous Wavelet Transform (CWT) or another time domain analysis.

3. The method according to claim 1, wherein the at least two parameters are at least two of the following:

quantitative or statistical parameters, a peak-to-peak amplitude, a Root Mean Squared (RMS) amplitude, a statistical, a maximum statistical value, a minimum statistical value, a mean statistical value, a median statistical value, a Crestfactor, a Kurtosis, threshold crossing event counts, periodicity of events values, wavelet-derived amplitudes, wavelet-derived parameters, FFT-derived amplitudes, FFT-derived parameters, harmonic activity, and sideband activity.

4. The method according to claim 1, wherein the at least one sensor is arranged to obtain data concerning at least one of the following:

vibration, vibration enveloping, acoustic emission, acoustic emission enveloping, temperature, a rolling contact force, a rolling contact stress, high frequency stress waves, a lubricant condition, rolling surface damage, an operating speed, a load carried, lubrication conditions, humidity, exposure to moisture, exposure to ionic fluids, exposure to mechanical shocks, corrosion, fatigue damage, and wear.

5. The method according to claim 1, wherein the at least two parameters are transmitted wirelessly over a wireless communication network.

6. The method according to claim 1, further comprising a step of electronically recording the at least two parameters in a database.

7. The method according to claim 1, wherein the condition monitoring system is arranged to monitor at least one bearing.

17. The method according to claim 1, wherein the condition monitoring system is arranged to monitor at least rolling element bearing.

8. A computer program product, comprising:

a computer program containing computer program code arranged to cause one of a computer or a processor to execute steps of;

obtaining dynamic signal data in the form of a time waveform and/or a Fast Fourier Transform (FFT) from at least one sensor;

extracting at least two parameters from at least one of the time waveform and the Fast Fourier Transform FFT; and

one of;

transmitting or displaying the at least two parameters instead of at least one of the dynamic signal time waveform data and the Fast Fourier Transform (FFT),

wherein the computer program is stored on one of;

a computer-readable medium or a carrier wave.

9. A system for processing data obtained from a condition monitoring system, the system comprising:

at least one sensor arranged to provide dynamic signal data in the form of one of;

a time waveform or a Fast Fourier Transform (FFT);

system

a processing unit arranged to extract at least two parameters from at least one of;

the dynamic signal'"'"'s time waveform and/or Fast Fourier Transform (FFT); and

at least one of;

a transmission system arranged to transmit, and

a display system arranged to display,

the at least two parameters instead of at least one of the dynamic signal time waveform data and the Fast Fourier Transform (FFT).

10. The system according to claim 9, the processing unit is arranged to extract the at least two parameters using one of:

a Discrete Wavelet Transform (DWT), a Continuous Wavelet Transform (CWT) or another time domain analysis.

11. The system according to claim 9, wherein the at least two parameters are at least two of the following:

quantitative or statistical parameters, a peak-to-peak amplitude, an RMS amplitude, a statistical value, a maximum statistical value, a minimum statistical value, a mean statistical value, a Crestfactor, a Kurtosis, threshold crossing event counts, periodicity of events values, and wavelet-derived amplitudes, wavelet-derived parameters, FFT-derived amplitudes, FFT-derived parameters harmonic activity, and sideband activity.

12. The system according to claim 9, wherein the at least one sensor is arranged to obtain data concerning at least one of the following:

vibration, vibration enveloping, acoustic emission, acoustic emission enveloping, temperature, rolling contact force, rolling contact stress, high frequency stress waves, a lubricant condition, rolling surface damage, an operating speed, a load carried, lubrication conditions, humidity, exposure to moisture, exposure to ionic fluids, exposure to mechanical shocks, corrosion, fatigue damage, and wear.

13. The system according to claim 9, wherein the transmitting system is arranged to transmit the at least two parameters wirelessly over a wireless communication network.

14. The system according to claim 9, the system further comprising a recording feature arranged to electronically record the at least two parameters in a database.

15. The system according to claim 9, wherein the condition monitoring system is arranged to monitor at least one bearing.

16. The system according to claim 9, wherein the condition monitoring system is arranged to monitor at least rolling element bearing.