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Title:
SYSTEM AND METHOD FOR MONITORING AN OPERATING CONDITION OF AT LEAST ONE ELECTRICAL DEVICE USING A DATA SERVER ARRANGEMENT
Document Type and Number:
WIPO Patent Application WO/2019/158754
Kind Code:
A4
Abstract:
Disclosed is an electrical condition monitoring system (100) including a data server arrangement that is connectable to a monitoring unit that is configured to monitor an electrical device when in operation, wherein: the monitoring unit includes a sensing arrangement for temporally sensing electrical signals associated with the electrical device and generating corresponding sensed data; and a data processing arrangement including a data processor that is configured to: (i) process the sensed data to generate a corresponding temporally-changing Fourier spectrum including signal harmonic components; (ii) process temporal changes in magnitudes and frequencies of the signal harmonic components to generate analysis data; and (iii) communicate the analysis data to the data server arrangement to perform at least one of: (a) aggregating the analysis data received from the monitoring unit to obtain aggregated analysis data; (b) generating aggregated performance results in respect of the electrical device based on the aggregated analysis data; (c) providing control signals to the monitoring unit to monitor operation of the electrical device based on the aggregated performance results of the electrical device; (d) generating alerts relating to the electrical device when the aggregated performance results of the electrical device exceeds a threshold level; and (e) generating a condition assessment of the electrical device, wherein a condition of the at least one electrical device is assessed based on comparison between a real-time model of the electrical device generated based on the analysis data with one or more stored models of the electrical device.

Inventors:
BATES ANDREW (GB)
WALKER GEOFFREY (GB)
BOULTON WILLIAM (GB)
BANNISTER MYLES (GB)
ALFEIRAN BRAN (ES)
Application Number:
EP2019/053976
Publication Date:
October 10, 2019
Filing Date:
February 18, 2019
Export Citation:
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Assignee:
FARADAY PREDICTIVE LTD (GB)
International Classes:
G01R23/20; G01R23/16; G01R31/34; H02H3/52; H02H7/08
Attorney, Agent or Firm:
NORRIS, Timothy (GB)
Download PDF:
Claims:
64

AMENDED CLAIMS

received by the International Bureau on 16 August 2019 (16.08.2019)

1. An electrical condition monitoring system (100), characterized in that the electrical condition monitoring system (100) includes a data server arrangement that is connectable via a data communication network arrangement to at least one monitoring unit that is spatially local to a corresponding at least one electrical device, and that is configured to monitor the at least one electrical device when the at least one electrical device is in operation, wherein:

(i) the at least one monitoring unit includes a sensing arrangement that temporally senses electrical signals associated with the at least one electrical device and generates corresponding sensed data by processing the sensed electrical signals associated with the at least one electrical device, wherein the sensed data includes information associated with at least one of a supply of voltage or a supply of current to and/or from the at least one electrical device;

(ii) the at least one monitoring unit connected with the at least one electrical device, wherein the at least one monitoring unit includes a data processing arrangement including a data processor that is configured to

- process the sensed data to generate a corresponding temporally-changing Fourier spectrum including signal harmonic components for at least one of the current or the voltage that is supplied to the at least one electrical device; and

- process temporal changes in magnitudes and frequencies of the signal harmonic components to generate analysis data representative of operation of the at least one electrical device; and

(iii) the at least one monitoring unit is configured to communicate the analysis data to the data server arrangement to perform at least one of: 65

(a) aggregating the analysis data received from the at least one monitoring unit to obtain aggregated analysis data;

(b) generating aggregated performance results in respect of the at least one electrical device based on the aggregated analysis data;

(c) providing control signals to at least one monitoring unit to monitor operation of the at least one electrical device based on the aggregated performance results of the at least one electrical device;

(d) generating alerts relating to the at least one electrical device when the aggregated performance results of the at least one electrical device exceeds a threshold level, wherein the alerts represent at least one of: maintenance required for the at least one electrical device, replacement required for different parts of the at least one electrical device or potential causes for failure of the at least one electrical device; and

(e) generating a condition assessment of the at least one electrical device, wherein a condition of the at least one electrical device is assessed based on comparison between a real-time model of the at least one electrical device generated based on the analysis data with one or more stored models of the at least one electrical device, characterized in that the data processing arrangement of the at least one monitoring unit is operable to at least partially filter out the changes in magnitudes and frequencies of the signal harmonic components caused due to electrical distortions present in the temporally-changing Fourier spectrum.

2. An electrical condition monitoring system of claim 1, characterized in that the temporally-changing Fourier spectrum including signal harmonic components is calculated from at least one calculated residual current or residual voltage, wherein the at least one calculated residual current or residual voltage is calculated by comparing a model of predicted current or voltage with a measured current or voltage of the electrical device. 66

3. An electrical condition monitoring system of claim 1 or 2, characterized in that the data server arrangement is operable to provide analysis data to a user interface that is configured for user entry of input for analyzing the analysis data and the data server arrangement is configured to analyze the analysis data based on the input to obtain information indicative of an operating condition of the at least one electrical device.

4. An electrical condition monitoring system of any one of the claims 1 to 3, characterized in that the data processing arrangement of the at least one monitoring unit is operable to access the one or more stored models of operation of the at least one electrical device, and to compare the real-time model with the one or more stored models to generate information indicative of an operating condition of the at least one electrical device.

5. An electrical condition monitoring system of any one of claims 1 to 4, characterized in that the user interface is configured for user entry of user defined parameters for generating a range of multivariate cells in a database of the electrical condition monitoring system and the data processing arrangement is configured to update the sensed data of the electrical device in their respective multivariate cells, wherein the multivariate cells store the temporally-changing Fourier spectrum associated with the sensed data and the one or more stored models associated with the electrical device.

6. An electrical condition monitoring system of claim 5, characterized in that the data processing arrangement is configured to update preexisting analysis data in their respective multivariate cells with the analysis data to generate an updated average and a standard deviation for the sensed data.

7. An electrical condition monitoring system of claim 5, characterized in that the data processing arrangement is configured to compute by extrapolation and/or interpolation data for unpopulated multivariate cells from neighboring multivariate cells that are based on at least one of: voltage measurements, current measurements, frequency measurements.

8. An electrical condition monitoring system of any one of the claims 1 to 7, characterized in that the data processing arrangement is operable to generate the real-time model of the at least one electrical device based on the analysis data.

9. An electrical condition monitoring system of any one of the preceding claims, characterized in that the at least one monitoring unit is included as an integral component of the at least one electrical device.

10. An electrical condition monitoring system of any one of the preceding claims, characterized in that the data communication network is implemented via use of Internet-of-Things (IoT).

11. An electrical condition monitoring system of claim 11, characterized in that the data communication network is implemented via use of Internet-of- Things (IoT) implemented in a wireless manner and/or via a peer-to-peer communication network.

12. An electrical condition monitoring system of any one of the preceding claims, characterized in that the data processing arrangement is configured to compute parameter differences between the real-time model and the one or more stored models, and to generate a predictive model describing the parameter difference between the real-time model and the one or more stored models to generate the information indicative of an operating condition of the at least one electrical device.

13. An electrical condition monitoring system of claim 12, characterized in that the data processing arrangement generates from the predictive model one or more alerts relating to: (a) energy utilization trends of the at least one electrical device;

(b) Carbon Dioxide (equivalent) generation being caused by the at least one electrical device;

(c) maintenance, replacement or repair of the at least one electrical device; and

(d) a state of insulation of the electrical device.

14. An electrical condition monitoring system of any one of the preceding claims, characterized in that the at least one electrical device includes at least one of: a synchronous 1-phase electrical motor, a synchronous multi-phase electrical motor, a synchronous 3-phase electrical motor, an asynchronous 1- phase motor, an asynchronous 3-phase motor, a generator, an alternator, a switched reluctance motor, a switched stepper motor, a D.C. electrical motor, a compressor, a pump, an air conditioner, a ventilator, a refrigerator, a washing machine, a television, a vacuum cleaner, a wind turbine generator, a tidal turbine generator, a geothermal turbine generator, a hydroelectric generator, an ocean wave electrical generator, a heliostat electrical generator, a photovoltaic panel electrical generator, or a heater.

15. An electrical condition monitoring system of claim 3, characterized in that the user interface is configured for obtaining user entry of machine parameters describing the at least one electrical device, wherein the machine parameters include at least one of: generic nominal operating voltage, generic nominal operating current, generic nominal supply frequency, generic nominal rotational speed, number of vanes on an impeller of the at least one electrical device, bearing type codes of the at least one electrical device or belt drive dimensions of the at least one electrical device.

16. An electrical condition monitoring system of claim 3 or 14, characterized in that the user interface is configured for user entry of machine parameters describing analysis type to be executed by the data processing arrangement, 69

wherein the analysis type allows user-setting of temporal resolution and a sensing data sample length.

17. An electrical condition monitoring system of claim 15, characterized in that the user interface allows user setting of voltage and/or current readings from the at least one electrical device at a sample rate of up to 10 Megahertz (10 MHz).

18. An electrical condition monitoring system of claim 3, 14, 15 or 16, characterized in that the user interface allows user-selection for implementing D-Q phase and A-B phase transformation, computed in the data processing arrangement, of the sensed data wherein the D-Q phase transformation transfers three-phase stator and rotor quantities into a single rotating reference frame to eliminate effect of time-varying inductances, wherein the A-B phase transformation refers to a mathematical transformation that is implemented to simplify an analysis of three-phase stator and rotor.

19. An electrical condition monitoring system of any one of the preceding claims, characterized in that the data processing arrangement is configured to create a linear model of one or more relationships between voltage and current signals obtained from the at least one electrical device.

20. An electrical condition monitoring system of any one of the preceding claims, characterized in that the data processing arrangement is operable to:

(i) generate a linear model describing the at least one electrical device;

(ii) use the linear model to create a model of predicted current of the at least one electrical device from measured voltages obtained from the at least one electrical device;

(iii) compare the model of predicted current with a measured current of the at least one electrical device to create a residual current data; 70

(iv) perform Fast Fourier Transform (FFT) on the residual current data to create the temporally-changing Fourier spectrum;

(v) identify at least one local maximum on the temporally-changing Fourier spectrum by analyzing the temporally-changing Fourier spectrum that are plotted based on the sensed data using a crawling technique, wherein an entirety of the temporally changing Fourier spectrum is divided into local maxima joined to one another at local minima to identify at least one local maximum corresponding to a phenomenon on the temporally-changing Fourier spectrum, wherein the crawling technique identifies the at least one local maximum on the temporally- changing Fourier spectrum by determining a value that increases towards the at least one local maximum or a value that decreases from the at least one local maximum;

(vi) calculate locations (i.e. frequencies) on the temporally-changing Fourier spectrum where the same phenomenon appears to create a family of possible local maxima;

(vii) identify a significant local maximum from the family of possible local maxima corresponding to the phenomenon and generate the analysis data from a magnitude of the significant local maximum, wherein the significant local maximum is identified in terms of an absolute value or number of standard deviations from a mean value: and

(viii) label the significant local maximum with the phenomenon description in the user interface for presenting to the user.

21. A method (1000) of (for) using an electrical condition monitoring system (100), characterized in that the electrical condition monitoring system includes a data server arrangement that is connectable via a data communication network arrangement to at least one monitoring unit that is spatially local to a corresponding at least one electrical device, and that is 71

configured to monitor the at least one electrical device when the at least one electrical device is in operation, wherein the method includes:

(i) arranging the at least one monitoring unit to include a sensing arrangement that temporally senses electrical signals associated with the at least one electrical device and generates corresponding sensed data by processing the sensed electrical signals associated with the at least one electrical device, wherein the sensed data includes information associated with at least one of a supply of voltage or a supply of current to and/or from the at least one electrical device;

(ii) arranging the at least one monitoring unit to include a data processing arrangement including a data processor that is configured to process the sensed data to generate a corresponding temporally changing Fourier spectrum including signal harmonic components for at least one of the current or the voltage that is supplied to the at least one electrical device and to process temporal changes in magnitudes and frequencies of the signal harmonic components to generate analysis data representative of operation of the at least one electrical device; and

(iii) configuring the at least one monitoring unit to communicate the analysis data to the data server arrangement to perform at least one of:

(a) aggregating the analysis data received from the at least one monitoring unit to obtain aggregated analysis data;

(b) generating aggregated performance results in respect of the at least one electrical device based on the aggregated analysis data ;

(c) providing control signals to at least one monitoring unit to monitor operation of the at least one electrical device based on the aggregated performance results of the at least one electrical device; 72

(d) generating alerts relating to the at least one electrical device when the aggregated performance results of the at least one electrical device exceeds a threshold level, wherein the alerts represent at least one of: maintenance required for the at least one electrical device, replacement required for different parts of the at least one electrical device or potential causes for failure of the at least one electrical device; and

(e) a condition assessment of the at least one electrical device, wherein a condition of the at least one electrical device is assessed based on comparison between a real-time model of the at least one electrical device generated based on the analysis data with one or more stored models of the at least one electrical device.

22. A computer program product comprising a non-transitory computer- readable storage medium having computer-readable instructions stored thereon, the computer-readable instructions being executable by a computerized device comprising processing hardware to execute the method of claim 21.