METHOD, COMPUTER PROGRAM PRODUCT & SYSTEM

• US 20160047716A1
• Filed: 04/05/2013
• Published: 02/18/2016
• Est. Priority Date: 04/05/2013
• Status: Abandoned Application

• Current Assignee: ABet SKF
• Original Assignee: ABet SKF
• Inventors: THOMSON, Allan
• Application Number:
  US14/781,932
• Publication Number:
  US 20160047716A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis
• CPC Class Codes: G01N 2291/0258 Structural degradation, e.g. fatigue of composites, ageing of oils
• 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 29/4454 Signal recognition, e.g. specific values or portions, signal events, signatures
• CPC Class Codes: G01N 29/449 Statistical methods not provided for in G01N29/4409, e.g. averaging, smoothing and interpolation
• 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, wherein the method comprises a step of obtaining dynamic signal data in a form of a first time waveform including a number of samples from at least one sensor. The method comprises a step of creating a plurality of new time waveforms from the first time waveform, each of the plurality of new time waveforms having a smaller number of samples than the first time waveform, and at least one of transmitting, displaying or storing the plurality of new time waveforms instead of the dynamic signal time waveform data.

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 a first time waveform including a number of samples from at least one sensor;

creating a plurality of new time waveforms from the first time waveform, each of the plurality of new time waveforms having a smaller number of samples than the first time waveform, and

at least one of;

transmitting, displaying, and storing the plurality of new time waveforms instead of the dynamic signal time waveform data.

2. The method according to claim 1, wherein the first time waveform has a time span and each of the plurality of new time waveforms has the same time span as the first time waveform.

3. The method according to claim 1, wherein the first time waveform comprises a plurality of parameters and each of the plurality of new time waveforms represents one of the parameters.

4. The method according to claim 1, wherein the parameters are any of the following:

quantitative parameters, 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, wavelet-derived amplitudes, wavelet-derived parameters, FFT-derived amplitudes, FFT-derived parameters, harmonic activity, and sideband activity.

5. The method according to claim 1, characterized in that 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, a load, temperature, a rolling contact force, a rolling contact stress, high frequency stress waves, a lubricant condition, rolling surface damage, operating speed, a load carried, lubrication conditions, humidity, exposure to moisture, exposure to ionic fluids, exposure to mechanical shocks, corrosion, fatigue damage, and wear.

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

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

14. The system according to claim 1, a transmitting system means arranged to transmit the at least two parameters wirelessly over a wireless communication network.

17. The method according to claim 1, wherein the condition monitoring system is arranged to monitor at least one 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 a form of a first time waveform including a number of samples from at least one sensor;

creating a plurality of new time waveforms from the first time waveform, each of the plurality of new time waveforms having a smaller number of samples than the first time waveform; and

at least one of;

transmitting, displaying, and storing the plurality of new time waveforms instead of the dynamic signal time waveform data,

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 a form of a first time waveform having a number of samples from the at least one sensor;

a processing unit arranged to create a plurality of new time waveforms from the first time waveform, each of the plurality of new time waveforms having a smaller number of samples than the first time waveform; and

a transmission system arranged to at least one of transmit, display, and store the plurality of new time waveforms instead of the dynamic signal time waveform data.

10. The system according to claim 9, the first time waveform has a time span and each of the plurality of new time waveforms has the same time span as the first time waveform.

11. The system according to claim 9, wherein the first time waveform comprises a plurality of parameters and each of the plurality of new time waveforms represents one of the parameters.

12. The system according to claim 9, wherein the parameters are any 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 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.

13. 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, a load, a 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.

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 one rolling element bearing.