# US 11,906,567 B2 · Method for detecting an abnormal event in an electrical conductor of a medium voltage electrical device

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- Number: US 11,906,567 B2
- Document ID: US11906567B2
- Status: Granted
- Kind: B2
- Application number: 17/965,832
- Filed: 2022-10-14
- Published: 2023-04-27
- Granted: 2024-02-20
- Earliest claimed: 2021-10-25
- Assignees: Schneider Electric Industries SAS
- Applicants: Schneider Electric Industries SAS
- Inventors: Bartosz Boguslawski; Diego Alberto
- Web page: https://patentgrep.com/patent/US11906567B2

## CPC

- G01R 31/1209: {using acoustic measurements (acoustic measurements G01H3/00)}
- G01R 31/1272: {of cable, line or wire insulation, e.g. using partial discharge measurements (locating faults in cables G01R31/083)}
- G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12)

## Abstract

A method for detecting an abnormal event in an insulator of an electrical conductor of a medium-voltage or high-voltage electrical device. The method includes: acquiring a set of successive samples of a vibration signal associated with the electrical conductor; determining a modelled value of a following sample based on the acquired set of samples and on a prediction model, the prediction model being obtained through machine learning of the vibration signal based on a set of samples acquired in reference conditions in which the electrical conductor is free from any abnormal event; acquiring the following sample of the vibration signal; calculating a difference between the value of the acquired sample and the modelled value; and if the calculated difference is greater than a predetermined threshold, detecting an abnormal event in the electrical conductor.

## Claims

### Claim 1

A method for detecting an abnormal event in an insulator of an electrical conductor of a medium-voltage or high-voltage electrical device, the method comprising:
acquiring a set of successive samples of a vibration signal associated with the electrical conductor,
determining a modelled value of a following sample based on the acquired set of successive samples and on a prediction model, the prediction model being obtained through machine learning of the vibration signal based on a set of samples acquired in reference conditions in which the electrical conductor is free from any abnormal event,
acquiring the following sample of the vibration signal,
calculating a difference between a value of the acquired following sample and the modelled value,
if the calculated difference is greater than a predetermined threshold, detecting an abnormal event in the electrical conductor.

### Claim 2 (depends on 1)

The method according to claim 1, comprising:
if the calculated difference is less than or equal to the predetermined threshold, detecting the absence of any abnormal event in the electrical conductor.

### Claim 3 (depends on 1)

The method according to claim 1, wherein the detected abnormal event is a partial discharge.

### Claim 4 (depends on 3)

The method according to claim 3, wherein the reference conditions in which the machine learning is performed are an operating period starting when the electrical device is first commissioned and of a duration equal to a predetermined first duration of use of the electrical device.

### Claim 5 (depends on 3)

The method according to claim 3, wherein the reference conditions in which the machine learning is performed are an operating period starting when the electrical conductor is first commissioned and of a duration equal to a predetermined second duration of use of the electrical device.

### Claim 6 (depends on 1)

The method according to claim 1, wherein the set of successive samples of the vibration signal taken into consideration to determine a modelled value of the following sample comprises a fixed number of samples, the fixed number of samples being between 10 and 20.

### Claim 7 (depends on 1)

The method according to claim 1, comprising:
if an abnormal event is detected in the insulator of the electrical conductor, incrementing an abnormal event counter.

### Claim 8 (depends on 7)

The method according to claim 7, comprising:
if an abnormal event is detected in the insulator of the electrical conductor, calculating a frequency of occurrence of the abnormal event, the frequency of occurrence of the abnormal event being equal to a ratio of a value of the abnormal event counter and a number of acquired samples.

### Claim 9 (depends on 8)

The method according to claim 8, comprising:
if the frequency of occurrence of the abnormal event reaches a predetermined second threshold, emitting an alert signal.

### Claim 10 (depends on 1)

A medium-voltage or high-voltage electrical device, the electrical device comprising:
an electrical conductor,
a sensor configured to supply a vibration signal associated with an insulator of the electrical conductor,
an electronic control unit configured to implement the detection method according to claim 1.

### Claim 11 (depends on 10)

The electrical device according to claim 10, wherein the sensor is configured to supply a signal representative of an acceleration of the insulator of the electrical conductor.