MACHINE MONITORING

• US 20170193714A1
• Filed: 06/20/2016
• Published: 07/06/2017
• Est. Priority Date: 12/31/2015
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Gonzales, JR., Sergio Pinzon
• Granted Patent: US 10,388,086 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/63 Querying
• CPC Class Codes: G06F 16/638 Presentation of query results
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G07C 5/006 Indicating maintenance
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction
• CPC Class Codes: G10L 25/18 the extracted parameters being spectral information of each sub-band
• CPC Class Codes: G10L 25/21 the extracted parameters being power information
• CPC Class Codes: G10L 25/51 for comparison or discrimination
• CPC Class Codes: H04R 29/00 Monitoring arrangements; Testing arrangements for hearing aids H04R25/30; detection of loudspeaker connection H04R5/04; sound-field adaptation dependent on speaker detection H04S7/308

Abstract

Methods, systems, and apparatus for determining a maintenance issue are described. An audio signal is obtained and analyzed to generate an audio signature. A characteristic of a component is identified based on the audio signature and an action is determined based on the characteristic of the component.

Claims

1. An apparatus for determining a maintenance issue, the apparatus comprising:

an audio analysis module, implemented using a hardware device, for obtaining an audio signal and analyzing the audio signal to generate an audio signature;

a signature analysis module for identifying a characteristic of a component based on the audio signature; and

an action module for determining an action based on the characteristic of the component.

2. The apparatus of claim 1, wherein the signature analysis module is further configured to identify the component based on the audio signature.

3. The apparatus of claim 1, wherein the signature analysis module is further configured to identify a component type based on the audio signature.

4. The apparatus of claim 1, wherein the determination of the action is based on a location of a vehicle.

5. The apparatus of claim 1, wherein the determination of the action is based on a speed of a vehicle.

6. The apparatus of claim 1, wherein the determination of the action is based on an acceleration of a vehicle.

7. The apparatus of claim 1, wherein the determination of the action is based on a monitored temperature.

8. The apparatus of claim 1, further comprising a training module for storing the audio signature in a signature library and generating an index according to the characteristic of the component.

9. The apparatus of claim 1, further comprising a training module for storing the audio signature in a signature library and generating an index according to an identity of the component or a type of the component.

10. The apparatus of claim 1, wherein the characteristic is identified by comparing the audio signature to one or more signatures in a library of signatures.

11. The apparatus of claim 1, further comprising an audio pre-processing module to isolate one or more sounds in the audio signal.

12. The apparatus of claim 1, wherein a sound is monitored periodically, at a prescheduled time, in response to a reception of a measurement request, and in response to a substantial change in the audio signal.

13. The apparatus of claim 1, wherein the analyzing the audio signal is based on characteristics of an audio waveform, including a frequency range, a tempo, acoustic resonances, or a power in each of a plurality of frequency ranges.

14. A method for determining a maintenance issue, the method comprising:

obtaining an audio signal and analyzing the audio signal to generate an audio signature;

identifying a characteristic of a component based on the audio signature; and

determining an action based on the characteristic of the component.

15. The method of claim 14, further comprising identifying the component based on the audio signature.

16. The method of claim 14, further comprising identifying a component type based on the audio signature.

17. The method of claim 14, further comprising storing the audio signature in a signature library and generating an index according to the characteristic of the component.

18. The method of claim 14, wherein the characteristic is identified by comparing the audio signature to one or more signatures in a library of signatures.

19. The method of claim 14, wherein the analyzing the audio signal is based on characteristics of an audio waveform, including a frequency range, a tempo, acoustic resonances, or a power in each of a plurality of frequency ranges.

20. A non-transitory machine-readable storage medium comprising instructions, which when implemented by one or more machines, cause the one or more machines to perform operations comprising:

obtaining an audio signal and analyzing the audio signal to generate an audio signature;

identifying a characteristic of a component based on the audio signature; and

determining an action based on the characteristic of the component.