# US 12,192,715 B2 · Corona detection using audio data

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- Number: US 12,192,715 B2
- Document ID: US12192715B2
- Status: Granted
- Kind: B2
- Application number: 18/217,318
- Filed: 2023-06-30
- Published: 2023-10-26
- Granted: 2025-01-07
- Earliest claimed: 2017-08-11
- Assignees: Hubbell Incorporated
- Applicants: Hubbell Incorporated
- Inventors: Gary Michael Miller; Bernard Chenault Crutcher; Gaylord Zahlman
- Web page: https://patentgrep.com/patent/US12192715B2

## CPC

- H04R 3/007: {Protection circuits for transducers}
- G01H 3/06: by electric means
- G01R 31/00: Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere ({measuring superconductive properties G01R33/1238;} testing line transmission systems H04B3/46; testing or measuring semiconductors or solid state devices during manufacture {H10P74/00})
- G01R 31/1209: {using acoustic measurements (acoustic measurements G01H3/00)}
- G10K 11/1785: {Methods, e.g. algorithms; Devices (G10K11/1781, G10K11/1783 take precedence)}
- H04R 1/326: {for microphones (H04R1/34 and H04R1/40 take precedence)}
- G01H 3/00: Measuring {characteristics of} vibrations by using a detector in a fluid (G01H7/00, G01H9/00, G01H11/00 take precedence)
- H04R 29/004: {for microphones (H04R29/007 takes precedence)}
- H04R 2499/13: Acoustic transducers and sound field adaptation in vehicles
- H04R: LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS (producing sounds with frequency not determined by supply frequency G10K)
- G01H: MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12)
- G10K: SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR

## Abstract

Systems, methods, and apparatus for corona detection using audio data are provided. In one example embodiment, the method includes obtaining, by one or more computing devices, audio data during at least one time interval, the time interval including a plurality of time windows; partitioning, by the one or more computing devices, the audio data into a plurality of window audio data each corresponding to a respective one of said time windows; and determining, by the one or more computing devices, a signal indicative of a presence of corona based at least in part on at least one window audio data relative to a remainder audio data.

## Claims

### Claim 1

A method for detecting corona in an electrical system, the method comprising:
obtaining, by one or more computing devices, audio data during at least one time interval, the time interval including a plurality of time windows;
partitioning, by the one or more computing devices, the audio data into a plurality of window audio data each corresponding to a respective one of said time windows;
determining, by the one or more computing devices, a scaled ratio for each one of the plurality of time windows based on the plurality of window audio data; and
determining, by the one or more computing devices, a signal indicative of a presence of corona based at least in part on at least one scaled ratio of the scaled ratios.

### Claim 2 (depends on 1)

The method of claim 1, wherein the method comprises:
determining, by the one or more computing devices, a total energy for the time interval based on the audio data; and
determining, by the one or more computing devices, an indicator of an adequacy of a sound level for the audio data to detect corona based at least in part on the total energy.

### Claim 3 (depends on 1)

The method of claim 1, further comprising:
identifying, by the one or more computing devices, a time window with a maximum scaled ratio of the plurality of time windows;
identifying, by the one or more computing devices, one or more adjacent time windows to the time window associated with the maximum scaled ratio;
identifying, by the one or more computing devices, an opposing phase time window to the time window associated with the maximum scaled ratio; and
determining, by the one or more computing devices, a confidence score based on the maximum scaled ratio, a scaled ratio associated with one or more adjacent time windows, and a scaled ratio for the opposing phase time window.

### Claim 4 (depends on 3)

The method of claim 3, wherein the scaled ratio for each of the plurality of time windows is determined based at least in part on an adequacy of a sound level for the audio data to detect corona during the time interval.

### Claim 5 (depends on 1)

The method of claim 1, further comprising:
filtering a confidence score to generate the signal indicative of the presence of corona.

### Claim 6 (depends on 1)

The method of claim 1, wherein the time interval is determined based at least in part on a frequency of electrical power in the electrical system.

### Claim 7 (depends on 1)

The method of claim 1, wherein each time window has a duration of about 10% of the time interval.

### Claim 8 (depends on 1)

The method of claim 1, wherein the method is implemented at least in part by one or more processors associated with a clamp device.

### Claim 9 (depends on 1)

The method of claim 1, further comprising providing time stamp data in the signal associated with the presence of corona.

### Claim 10 (depends on 1)

The method of claim 1, further comprising communicating, by the one or more computing devices, a notification associated with the presence of corona via a network interface.

### Claim 11

A system for detecting corona in an electrical system, the system comprising:
a microphone configured to obtain audio data associated with the electrical system;
a network interface;
one or more processors; and
one or more memory devices, wherein the one or more memory devices store computer-readable instructions that when executed by the one or more processors cause the one or more processors to perform operations, the operations including:
obtaining audio data from the microphone, the audio data during at least one time interval, the time interval partitioned into a plurality of time windows;
partitioning the audio data into a plurality of window audio data each corresponding to a respective one of said time windows;
determining, by the one or more computing devices, a scaled ratio for each one of the plurality of time windows based on the plurality of window audio data; and
determining a signal indicative of a presence of corona based at least in part on at least one window audio data relative to at least one scaled ratio of the scaled ratios.

### Claim 12 (depends on 11)

The system of claim 11, wherein the operations comprise:
determining a total energy for the time interval based on the audio data; and
determining an adequacy of a sound level for the audio data to detect corona during the time interval based at least in part on the total energy.

### Claim 13 (depends on 11)

The system of claim 11, further comprising:
identifying a time window with a maximum scaled ratio of the plurality of time windows;
identifying one or more adjacent time windows to the time window associated with the maximum scaled ratio;
identifying an opposing phase time window to the time window associated with the maximum scaled ratio; and
determining a confidence score based on one the maximum scaled ratio, a scaled ratio associated with one or more adjacent time windows, and a scaled ratio for the opposing phase time window.

### Claim 14 (depends on 11)

The system of claim 11, wherein the microphone is a directional microphone on an aerial or ground based vehicle.
