Non-intrusive acoustic monitoring for equipment diagnostic and fault reporting

• US 20100049343A1
• Filed: 08/25/2008
• Published: 02/25/2010
• Est. Priority Date: 08/25/2008
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Jaiswal, Peeyush, Narayan, Naveen
• Application Number:
  US12/197,891
• Publication Number:
  US 20100049343A1
• Time in Patent Office: Days
• US Class Current: 700/94
• CPC Class Codes: G01H 1/00 Measuring characteristics of vibrations in solids by using direct conduction to the detector G01H9/00, G01H11/00 take precedence
• CPC Class Codes: G05B 23/0235 based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold

Abstract

A computer implemented method, a computer program product, and a data processing system provide acoustic monitoring and fault reporting. A sound is identified from a consumer device. The sound to an acoustic signal. An acoustic fingerprint is generated from the acoustic signal. The acoustic fingerprint is then compared to a threshold value to determine whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance. If the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, notification is provided that the acoustic fingerprint deviates from the threshold value by more than the defined statistical variance.

Claims

1. A computer implemented method for acoustic monitoring and fault reporting, the method comprising:

identifying a sound from a consumer device;

responsive to identifying the sound from a consumer device, converting the sound to an acoustic signal;

responsive to identifying the acoustic signal, generating an acoustic fingerprint from the acoustic signal;

responsive to generating the acoustic fingerprint from the acoustic signal, identifying whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance; and

responsive to identifying that the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, providing notification that the acoustic fingerprint deviates from the threshold value by more than the defined statistical variance.

2. The computer implemented method of claim 1, wherein the step of identifying a sound from a consumer device further comprises:

identifying a sound with a microphone proximately placed to the consumer device.

3. The computer implemented method of claim 1, wherein the step of generating an acoustic fingerprint from the acoustic signal further comprises:

generating an acoustic fingerprint by digitally transforming the acoustic signal by a Fourier transformation, wherein the acoustic fingerprint is a spectral representation of the acoustic signal.

4. The computer implemented method of claim 1, wherein the step of generating an acoustic fingerprint from the acoustic signal further comprises:

generating an acoustic fingerprint from the acoustic signal using a hash method to obtain the acoustic fingerprint as a compact representation of the acoustic signal.

5. The computer implemented method of claim 1, wherein the step of identifying whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance further comprises:

identifying whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, wherein the threshold value is an ideal acoustic fingerprint of the consumer device during normal operating conditions.

6. The computer implemented method of claim 1, the method further comprising:

responsive to identifying that the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, triggering an event handler, wherein the event handler provides notification that the acoustic fingerprint deviates from the threshold value by more than the defined statistical variance.

7. The computer implemented method of claim 6, wherein the event handler provides notification by triggering an auditory alarm, triggering a visual alarm, sending an email, or sending a short messaging service formatted alert.

8. A computer program product for acoustic monitoring and fault reporting, the computer program product comprising:

A computer usable medium having computer usable program code embodied therewith, the computer usable program code comprising;

computer usable program code to identify a sound from a consumer device;

computer usable program code, responsive to identifying the sound from a consumer device, to convert the sound to an acoustic signal;

computer usable program code, responsive to identifying the acoustic signal, to generate an acoustic fingerprint from the acoustic signal;

computer usable program code, responsive to generating the acoustic fingerprint from the acoustic signal, to identify whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance; and

computer usable program code, responsive to identifying that the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, to provide notification that the acoustic fingerprint deviates from the threshold value by more than the defined statistical variance.

9. The computer program product of claim 8, wherein the step of identifying a sound from a consumer device further comprises:

computer usable program code to identify a sound with a microphone proximately placed to the consumer device.

10. The computer program product of claim 8, wherein the step of generating an acoustic fingerprint from the acoustic signal further comprises:

computer usable program code to generate an acoustic fingerprint by digitally transforming the acoustic signal by a Fourier transformation, wherein the acoustic fingerprint is a spectral representation of the acoustic signal.

11. The computer program product of claim 8, wherein the step of generating an acoustic fingerprint from the acoustic signal further comprises:

computer usable program code to generate an acoustic fingerprint from the acoustic signal using a hash method to obtain the acoustic fingerprint as a compact representation of the acoustic signal.

12. The computer program product of claim 8, wherein the step of identifying whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance further comprises:

computer usable program code to identify whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, wherein the threshold value is an ideal acoustic fingerprint of the consumer device during normal operating conditions.

13. The computer program product of claim 8, the method further comprising:

computer usable program code, responsive to identifying that the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, to trigger an event handler, wherein the event handler provides notification that the acoustic fingerprint deviates from the threshold value by more than the defined statistical variance.

14. The computer program product of claim 13, wherein the computer usable program to trigger an event handler is for providing notification by triggering an auditory alarm, triggering a visual alarm, sending an email, or sending a short messaging service formatted alert.

15. A data processing system for acoustic monitoring and fault reporting, the data processing system comprising:

a bus;

a storage device connected to the bus, wherein the storage device contains a computer usable code; and

a processing unit connected to the bus, wherein the processing unit executes the computer usable program code to identifying a sound from a consumer device;

responsive to identifying the sound from a consumer device, to convert the sound to an acoustic signal;

responsive to identifying the acoustic signal, to generate an acoustic fingerprint from the acoustic signal;

responsive to generating the acoustic fingerprint from the acoustic signal, to identify whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance; and

responsive to identifying that the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, to provide notification that the acoustic fingerprint deviates from the threshold value by more than the defined statistical variance.

16. The data processing system of claim 15, wherein the processing unit executing the computer usable program code to identify a sound from a consumer device further comprises:

the processing unit executing the computer usable program code to identify a sound with a microphone proximately placed to the consumer device.

17. The data processing system of claim 15, wherein the processing unit executing the computer usable program code to generating an acoustic fingerprint from the acoustic signal further comprises:

the processing unit executing the computer usable program code to generate an acoustic fingerprint by digitally transforming the acoustic signal by a Fourier transformation, wherein the acoustic fingerprint is a spectral representation of the acoustic signal.

18. The data processing system of claim 15, wherein the processing unit executes the computer usable program code to generate an acoustic fingerprint from the acoustic signal further comprises:

the processing unit executing the computer usable program code to generate an acoustic fingerprint from the acoustic signal using a hash method to obtain the acoustic fingerprint as a compact representation of the acoustic signal.

19. The data processing system of claim 15, wherein the processing unit executes the computer usable program code to identify whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance further comprises:

the processing unit executing the computer usable program code to identify whether the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, wherein the threshold value is an ideal acoustic fingerprint of the consumer device during normal operating conditions.

20. The data processing system of claim 15, wherein the processing unit further executes the computer usable program code, responsive to identifying that the acoustic fingerprint deviates from a threshold value by more than a defined statistical variance, to trigger an event handler, wherein the event handler provides notification that the acoustic fingerprint deviates from the threshold value by more than the defined statistical variance.

21. The data processing system of claim 20, wherein the event handler provides notification by triggering an auditory alarm, triggering a visual alarm, sending an email, or sending a short messaging service formatted alert.