Component failure detection system

• US 9,476,860 B2
• Filed: 12/02/2011
• Issued: 10/25/2016
• Est. Priority Date: 12/02/2010
• Status: Active Grant

• Current Assignee: John Crane Incorporated (Smiths Group International Holdings Ltd.)
• Original Assignee: John Crane Incorporated (Smiths Group International Holdings Ltd.)
• Inventors: Meck, Klaus-Dieter, Carlisle, Peter Derek
• Primary Examiner(s): TSAI, CAROL S W
• Application Number:
  US13/990,482
• Publication Number:
  US 20130275056A1
• Time in Patent Office: 1,789 Days
• Field of Search: 702/34, 702/58, 702/64, 702/73, 702/183, 702/185, 735/72, 381/94.7, 381/94.1, 381/71.1, 381/71.11, 381/71.9, 324/102
• US Class Current: 1/1
• CPC Class Codes: F16D 2300/18 Sensors; Details or arrangements thereof
• CPC Class Codes: F16D 3/79 the disc or ring being metallic
• CPC Class Codes: G01H 3/08 Analysing frequencies present in complex vibrations, e.g. comparing harmonics present acoustic presence detection G01V1/001
• CPC Class Codes: G01M 13/028 Acoustic or vibration analysis
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis
• CPC Class Codes: G01N 29/44 Processing the detected response signal , e.g. electronic circuits specially adapted therefor digital signal processing per se G06F17/00

Abstract

An apparatus for detecting fatigue induced failure of an assembly having a single flexible element or a series of flexible elements stacked in juxtaposed engagement, for transmitting power from one component to another, the assembly having a cyclic operating speed frequency that includes at least one sensor mounted in proximity to said assembly, the sensor providing an analog signal corresponding to an airborne acoustic signal emitted by the assembly, means for amplifying the analog signal, filter means to reduce background noise from the analog signal, an analog to digital converter for converting the analog signals to a digital signal, means for sampling the digital signals in respect of the operating speed frequency of the assembly and means for analyzing the digital signals and providing an output upon the occurrence of one or more digital signal spikes in an operating cycle.

Claims

1. An apparatus for detecting fatigue induced failure of an assembly having a series of flexible elements stacked in juxtaposed engagement, for transmitting power from one component to another, the assembly having a cyclic operating speed frequency, said apparatus comprising;

at least one sensor mounted in proximity to said assembly for receiving airborne acoustic signals emitted by the assembly, the sensor providing an analog signal corresponding to said airborne acoustic signal in the frequency range of 25 kHz to 90 kHz, emitted by the assembly;

means for amplifying the analog signal;

filter means to reduce background noise in the analog signal;

an analog to digital converter for converting the analog signal to a digital signal;

means for splitting the digital signal into two sets;

means for sampling one of the sets of the digital signals to calculate the frequency components of the signal and provide a frequency domain signal; and

means for analysing the frequency domain signal and the other set of digital signals and providing an output upon the occurrence of one or more specific signal patterns in an operating cycle.

2. An apparatus according to claim 1 in which the sensor is a piezo-electric transducer.

3. An apparatus according to claim 1 in which the filter means is an envelope demodulator which averages the peak analog signals over a time frame and replaces them with mean value analog signals.

4. A method of detecting fatigue induced failure of an assembly having a series of flexible elements stacked in juxtaposed engagement, for transmitting power from one component to another, the power transmission assembly having a cyclic operating speed frequency, said method comprising;

providing a sensor for monitoring the airborne acoustic emissions of said assembly, said sensor converting acoustic signals in the frequency range of 25 kHz to 90 kHz emitted by the assembly into analog signals;

passing the analog signal through amplifying means;

passing the analog signal through filter means to reduce background noise;

passing the filtered analog signal through an analog to digital converter to produce a digital signal;

passing the digital signal through means for splitting the digital signal into two sets;

passing one set of the digital signal through means of sampling the digital signal to calculate the frequency components of the signal and provide a frequency domain signal; and

passing the frequency domain signal and the other set of the digital signal to means analyzing the digital signals to determine the occurrence of one or more specific signal patterns in an operating cycle, said occurrence of one or more specific signal patterns indicating a failure of one or more of the flexible elements of the assembly.

5. A method according to claim 4 in which the analog signal is filtered by passing it through an envelope demodulator which averages the peak analog signals over a time frame and replaces them with mean value analog signals.

6. A method according to claim 4 in which the digital signals are sampled using a Fast Fourier Transformation process, whereby the signals are analysed in a spectrum with respect to the operating speed frequency of the assembly, the failure of one or more of the flexible elements of the assembly producing harmonic frequencies in the Fast Fourier Transformation spectrum.

7. A method according to claim 6 in which the amplitude of the harmonic frequencies increases with the number of flexible elements to have failed.

8. A method according to claim 4 in which the digital signals are sampled using a combination of Skewness and Kurtosis statistical values to provide an indication of the failure of one or more of the flexible elements.

9. A method according to claim 4 in which the digital signals are sampled using the Fast Fourier Transformation process combined with Skewness and Kurtosis statistical values to provide an indication of the failure of one or more of the flexible elements.

10. A method according to claim 4 in which the digital signals are sampled by calculating the Root Mean Square (RMS) values of the digital signals over one cycle of the assembly.

11. An apparatus for detecting fatigue induced failure of an assembly having a series of flexible elements stacked in juxtaposed engagement, for transmitting power from one component to another, the assembly having a cyclic operating speed frequency, said apparatus comprising;

at least one sensor mounted in proximity to said assembly for receiving airborne acoustic signals emitted by the assembly, the sensor providing an analog signal corresponding to said airborne acoustic signal emitted by the assembly;

means for amplifying the analog signal;

filter means to reduce background noise in the analog signal, said filter means comprising an envelope demodulator which averages the peak analog signals over a time frame and replaces them with mean value analog signals;

an analog to digital converter for converting the analog signal to a digital signal;

means for sampling the digital signals in respect of the operating speed frequency of the assembly; and

means for analyzing the digital signals and providing an output upon the occurrence of one or more specific signal patterns in an operating cycle.

12. A method of detecting fatigue induced failure of an assembly having a series of flexible elements stacked in juxtaposed engagement, for transmitting power from one component to another, the power transmission assembly having a cyclic operating speed frequency, said method comprising;

providing a sensor for monitoring the airborne acoustic emissions of said assembly, said sensor converting acoustic signals emitted by the assembly into analog signals;

amplifying the analog signal;

filtering the analog signal to reduce background noise by passing it through an envelope demodulator which averages the peak analog signals over a time frame and replaces them with mean value analog signals;

converting the analog signals to digital signals;

sampling the digital signals in respect of the operating speed frequency of the assembly; and

analyzing the digital signals to determine the occurrence of one or more specific signal patterns in an operating cycle, said occurrence of one or more specific signal patterns indicating a failure of one or more of the flexible elements of the assembly.

13. An apparatus for detecting fatigue induced failure of an assembly for transmitting power from one component to another, the assembly having one or more flexible elements and having a cyclic operating speed frequency determined by a rotational speed of the assembly, the apparatus comprising:

at least one sensor mounted in proximity to said assembly for receiving airborne acoustic signals emitted by the assembly, the at least one sensor providing a signal output corresponding to the airborne acoustic signals emitted by the assembly;

a data acquisition module, configured to sample the signal output to generate a time domain representation of the signal output;

a signal processor, configured to calculate a frequency domain representation of the signal output; and

a diagnostic module configured to determine the occurrence of one or more signal characteristics based on the time domain representation of the signal output and the frequency domain representation of the signal output;

whereby a condition of at least one of the one or more flexible elements is detected if at least one of the one or more signal characteristics is related to the cyclic operating speed frequency.

14. The apparatus of claim 13, wherein at least one of the signal characteristics is an increased amplitude of a specific frequency in the frequency domain representation of the signal output and wherein a signal characteristic is related to the cyclic operating speed frequency if the specific frequency is a harmonic frequency of the cyclic operating speed frequency.

15. The apparatus of claim 13, wherein the sensor is sensitive to frequencies in the range of acoustic signals emitted by the flexible elements of the assembly.

16. The apparatus of claim 13, wherein the sensor is position to sense airborne acoustic signals in the frequency range between 25 kHz and 90 kHz.

17. The apparatus of claim 13, wherein the sensor is a piezo-electric transducer.

18. The apparatus of claim 13, further comprising an envelope demodulator, configured to average the peak signal output over a time frame and replace the signal output with a mean signal output.

19. The apparatus of claim 14, wherein the signal output is an analog signal, and further comprising an analog-to-digital converter, configured to convert the analog signal to a digital signal.

20. The apparatus of claim 19, wherein the data acquisition module is further configured to split the digital signal into a first set of data and a second set of data, and wherein the signal processor generates the frequency domain representation of the signal output using the first set of data.

21. The apparatus of claim 20 wherein the signal processor calculates the frequency domain representation of the signal output using a Fast Fourier Transformation process.

22. The apparatus of claim 21 wherein the diagnostic module is further configured determine a number of flexible elements that are affected by the detected condition, whereby the determined number increases based on one or more further increases in the amplitude of at least one of the harmonic frequencies of the cyclic operating speed frequency.

23. The apparatus of claim 20, wherein the signal processor is configured to calculate a skewness value and a kurtosis value based on the second set of data.

24. The apparatus of claim 23, wherein the diagnostic module is configured to calculate a health value of the assembly based on the frequency domain representation of the signal output, the skewness value, and the kurtosis value;

and whereby a condition of the assembly is detected when the health value of the assembly is indicative of a potential problem.

25. The apparatus of claim 19 wherein the signal processor is further configured sample the digital signal by calculating the Root Mean Square (RMS) values of the digital signal over one cycle of the assembly.

26. A method for detecting fatigue induced failure of an assembly for transmitting power from one component to another, the assembly having one or more flexible elements and having a cyclic operating speed frequency determined by a rotational speed of the assembly, said method comprising:

providing at least one sensor for receiving airborne acoustic signals emitted by the assembly, the at least one sensor providing a signal output corresponding to said airborne acoustic signals emitted by the assembly;

sampling the signal output to generate a time domain representation of the signal output;

calculating a frequency domain representation of the signal output;

determining the occurrence of one or more signal characteristics based on the time domain representation of the signal output and the frequency domain representation of the signal output; and

detecting a condition of at least one or more of the flexible elements if at least one of the one or more signal characteristics is related to the cyclic operating speed frequency.

27. The method of claim 26, wherein at least one of the signal characteristics is an increased amplitude of a specific frequency in the frequency domain representation of the signal output and wherein a signal characteristic is related to the cyclic operating speed frequency if the specific frequency is a harmonic frequency of the cyclic operating speed frequency.

28. The method of claim 26, wherein the sensor is sensitive to frequencies in the range of acoustic signals emitted by the flexible elements of the assembly.

29. The method of claim 26, further including positioning the sensor to sense airborne acoustic signals in the frequency range between 25 kHz and 90 kHz.

30. The method of claim 26, further comprising averaging the peak signal output over a time frame and replacing the signal output with a mean signal output using an envelope demodulator.

31. The method of claim 27, further comprising converting, with an analog-to-digital converter, the analog signal to a digital signal.

32. The method of claim 31, further comprising splitting the digital signal into a first set of data and a second set of data, and wherein in the frequency domain representation of the signal output is calculated using the first set of data.

33. The method of claim 32 wherein the frequency domain representation of the signal output is calculated using a Fast Fourier Transformation process.

34. The method of claim 33 further comprising determining a number of flexible elements that are affected by the detected condition, whereby the determined number increases based on one or more further increases in the amplitude of at least one of the harmonic frequencies of the cyclic operating speed frequency.

35. The method of claim 32, further comprising calculating a skewness value and a kurtosis value based on the second set of data.

36. The method of claim 35, further comprising calculating a health value of the assembly based on the frequency domain representation of the signal output, the skewness value, and the kurtosis value;

and whereby a condition of the assembly is detected when the health value of the assembly is indicative of a potential problem.

37. The method of claim 31, further comprising calculating the Root Mean Square (RMS) values of the digital signal over one cycle of the assembly.