Acoustical defect detection system

• US 4,429,578 A
• Filed: 03/22/1982
• Issued: 02/07/1984
• Est. Priority Date: 03/22/1982
• Status: Expired due to Fees

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Czechowski, Joseph III, Darrel, Bernard
• Primary Examiner(s): Birmiel, Howard A.
• Application Number:
  US06/360,293
• Time in Patent Office: 687 Days
• Field of Search: 73/659, 73/660, 340/680, 340/682, 340/683
• US Class Current: 73/659
• CPC Class Codes: F04C 2270/12 Vibration
• CPC Class Codes: F04C 28/28 Safety arrangements; Monitoring
• CPC Class Codes: G01N 2291/2696 Wheels, Gears, Bearings
• CPC Class Codes: G01N 29/12 by measuring frequency or resonance of acoustic waves measuring frequency or resonant frequency of mechanical vibrations or acoustic waves in general G01H1/06, G01H3/04, G01H13/00; acoustic resonators G10K11/04; vibration or shock testing of structures G01M7/00
• CPC Class Codes: G01N 29/30 Arrangements for calibrating or comparing, e.g. with standard objects
• CPC Class Codes: G01N 29/4454 Signal recognition, e.g. specific values or portions, signal events, signatures

Abstract

The vibration of a moving device which has repetitive movements, for instance a rotary compressor, are sensed at the outer case and analyzed in real time in both the time and frequency plane. For the time analysis the envelope of the signal is generated; for the frequency analysis a fast Fourier transform is performed and separate power spectra for fractions of a revolution are produced. The signatures are compared with those of an acceptable device to identify rejects and abnormalities at a particular position of a moving part.

Claims

1. A nonintrusive method of detecting internal defects in moving devices which have repetitive movements comprising:

generating a sensor signal corresponding to the vibrations of said device during at least one cycle of movement;

analyzing said sensor signal in real time to produce a time signature related to device position that is the envelope of said signal, and to produce a set of frequency signatures related to device position that are the separate power spectra for fractions of a cycle; and

comparing said signatures with those of an acceptable device to identify abnormalities in vibration.

2. The method of claim 1 wherein said signatures are averaged over a predetermined number of cycles.

3. The method of claim 1 wherein said sensor signal is conditioned prior to time and frequency analysis by high pass filtering to eliminate extraneous noise and low pass filtering for anti-aliasing.

4. A nonintrusive method of detecting internal defects in rotary devices which have repetitive movements comprising:

sensing the vibrations of said device during a designated number of revolutions and generating a sensor signal;

conditioning said sensor signal to extract low frequency extraneous noise and high frequencies that could result in aliasing errors;

generating a position reference in each revolution to synchronize averaging;

producing a time signature which is the averaged envelope of said conditioned signal;

producing a set of frequency signatures which are separately calculated and are the averaged power spectra of said conditioned signal for equal fractions of a revolution; and

comparing said time and frequency signatures with reference data of an acceptable device and statistically derived limits of acceptability to identify abnormalities in vibration at a particular position of the rotating device.

5. The method of claim 4 wherein said conditioned signal has a frequency band of about 4-25 kilohertz.

6. The method of claim 4 wherein said position reference is generated by sensing the position of the shaft of said rotary device.

7. The method of claim 4 wherein a fast Fourier transform is performed and the output squared to yield each power spectra.

8. The method of claim 7 wherein the DC offset of the output of said fast Fourier transform is determined and subtracted prior to squaring.

9. An acoustical defect detecting system for inspecting moving devices which have repetitive movements comprising:

a sensor which generates an electrical signal representative of the vibrations of said device;

first means for producing a time signature which is related to device position and is the envelope of said signal during at least one cycle of movement of said device;

second means for producing a set of frequency signatures that are related to device position and are each the power spectrum of said signal during a fraction of one cycle of movement; and

means for comparing said signatures with those of an acceptable device to identify internal defects.

10. The system of claim 9 wherein said second means has a fast Fourier transform device and a multiplier which squares its output.

11. An acoustical defect detecting system for inspecting rotary devices such as compressors which have repetitive movements comprising:

a sensor which generates an electrical signal representative of the vibrations of said device;

means for conditioning said signal to filter out low frequency noise and high frequencies that could result in aliasing errors;

means for generating a position reference once per revolution to synchronize averaging;

first analysis means for producing a time signature which is the averaged envelope of said conditioned signal over a designated number of revolutions;

second analysis means for producing a set of frequency signatures that are the averaged and separately calculated power spectra of said conditioned signal during fractions of a revolution; and

means for comparing said time and frequency signatures with statistically derived reference data of an acceptable device to identify internal defects at a particular position of said device.

12. The system of claim 11 wherein said position reference generating means is comprised of a magnetic sensor which senses the position of the shaft of said rotary device, and means which includes a comparator and Schmitt trigger for generating one pulse per revolution.

13. The system of claim 11 wherein said first analysis means has a rectifier and a peak follower.

14. The system of claim 13 wherein said second analysis means has a fast Fourier transform device and means for squaring its output to yield each power spectra.

15. The system of claim 14 and means for determining the DC offset of the output of said fast Fourier transform device and subtracting said offset.