# US 2021/0344293 A1 · Process for disaggregating charges using an electrical signature

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- Number: US 2021/0344293 A1
- Document ID: US20210344293A1
- Status: Published application
- Kind: A1
- Application number: 17/245,265
- Filed: 2021-04-30
- Published: 2021-11-04
- Earliest claimed: 2020-04-30
- Assignees: Chauvin Arnoux
- Applicants: Chauvin Arnoux
- Inventors: Erik ETIEN; Laurent RAMBAULT; Sebastien CAUET; Thierry DOGET
- Web page: https://patentgrep.com/patent/US20210344293A1

## CPC

- G01R 31/34: Testing dynamo-electric machines
- H02P 25/02: characterised by the kind of motor
- G01H 1/00: Measuring {characteristics of} vibrations in solids by using direct conduction to the detector (G01H9/00, G01H11/00 take precedence)
- G01H 11/06: by electric means
- G01R 21/133: by using digital technique
- G01R 31/343: {in operation}
- G05B 15/02: electric
- G06F 17/141: {Discrete Fourier transforms}
- G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12)
- H02P: CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- G01H: MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

A process for identifying the usage of electrical equipment connected to a power supply grid has an asynchronous motor coupled to a charge including identifying the usage of the electrical equipment by using an electrical signature of this equipment. The electrical signature is determined in a previous step and consists of a limited and predetermined set of characteristic frequencies and their harmonics obtained from the only information featuring on the identification plate of the asynchronous motor, and from visual inspection of the charge and its method for coupling to the asynchronous motor.

## Claims

### Claim 1

A process for identifying the usage of electrical equipment connected to a power supply grid and comprising an asynchronous motor coupled to a charge, the process comprising:
obtaining at a point of electrical delivery an electrical magnitude to be measured and transforming said electrical magnitude into a useable signal;
extracting, from said useable signal, a particular instant characteristic of the start-up of the electrical equipment and, from detection of the start-up, a portion of determined duration of the signal;
obtaining a frequential spectrum of the portion of signal extracted;
comparing the frequential spectrum obtained with each of recorded electrical signatures;
recognising the relevant electrical signature and then identifying the electrical equipment as being at the origin of the recognised electrical signature;
wherein the recorded electrical signature of each electrical equipment is determined with a limited and predetermined set of characteristic frequencies and their harmonics obtained from the only information featuring on the identification plate of the asynchronous motor and from visual inspection of the charge and its method for coupling to the asynchronous motor.

### Claim 2 (depends on 1)

The process according to claim 1, wherein visual inspection of the charge consists of determining a number of blades, a number of pistons or a pulley diameter.

### Claim 3 (depends on 2)

The process according to claim 2, wherein visual inspection of the coupling method of the charge to the asynchronous motor consists of determining a passing frequency of a belt or a meshing frequency of a reducer.

### Claim 4 (depends on 1)

The process according to claim 1, wherein the information featuring on the identification plate of the asynchronous motor includes the nominal speed of rotation of the motor and the frequency of the power supply grid.

### Claim 5 (depends on 1)

The process according to claim 1, wherein the electrical equipment is typically one of the following: a fan, a compressor, a pump, a power generator.

### Claim 6

An identification module of the usage of electrical equipment connected to the power supply grid and comprising an asynchronous motor coupled to a charge, the identification module comprising:
an acquisition module configured to obtain at a point of electrical delivery an electrical magnitude to be measured and transform said electrical magnitude into a useable signal;
an event detection module configured to extract, from said useable signal, a particular instant characteristic of the start-up of the electrical equipment;
an extraction module configured to extract, from detection of the start-up, a portion of determined duration of the signal;
a processing module configured to obtain a frequential spectrum of the portion of signal extracted in this way;
a database configured to record a set of electrical signatures each consisting of a limited and predetermined set of characteristic frequencies and their harmonics obtained from the only information featuring on the identification plate of the asynchronous motor and from visual inspection of the charge and its method for coupling to the asynchronous motor; and
a recognition and identification module for comparing the frequential spectrum obtained with each of the recorded electrical signatures, recognising the relevant electrical signature and then identifying the electrical equipment as being at the origin of the recognised electrical signature.

### Claim 7 (depends on 6)

The module according to claim 6, wherein the acquisition module is a current-measuring sensor and the processing module comprises a rapid Fourier Transform to obtain the frequential spectrum of the current from which the characteristic frequencies of the electrical equipment are extracted.

### Claim 8 (depends on 7)

The module according to claim 7, wherein the characteristic frequencies are determined by an automatic search of the largest constituent in a predetermined frequency band B=[Fmin, Fmax], F being the characteristic frequency.

### Claim 9 (depends on 8)

The module according to claim 8, wherein the predetermined frequency band is typically between 1 and 2 Hz.

### Claim 10 (depends on 6)

The module according to claim 6, wherein the portion of signal of determined duration is typically between 10 s and 1 mn.

### Claim 11 (depends on 6)

The module according to claim 6, wherein the processing module is further configured to carry out pre-processing by obtaining an average over N extracted frequential spectra.
