VIBRATION SENSOR ASSEMBLY FOR PROGNOSTIC AND DIAGNOSTIC HEALTH ASSESSMENT OF A POWER CIRCUIT BREAKER'S POWER TRANSMISSION AND DISTRIBUTION SYSTEM IN REAL TIME

• US 20170045481A1
• Filed: 08/13/2015
• Published: 02/16/2017
• Est. Priority Date: 08/13/2015
• Status: Active Grant

• Current Assignee: Eaton Intelligent Power Limited (Eaton Corporation PLC.)
• Original Assignee: Eaton Corp. (Wisconsin) (Eaton Corporation PLC.)
• Inventors: de Vries, Wilbert, Benke, James Jeffery, Ashtekar, Koustubh Dnyandeo, Yu, Li, Chen, Jiong, Wu, Fangji, Yang, He
• Granted Patent: US 10,533,978 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01H 1/00 Measuring characteristics of vibrations in solids by using direct conduction to the detector G01H9/00, G01H11/00 take precedence
• CPC Class Codes: G01N 2291/023 Solids
• CPC Class Codes: G01N 2291/0289 Internal structure, e.g. defects, grain size, texture
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/4418 with a model, e.g. best-fit, regression analysis
• CPC Class Codes: G01N 29/4427 with stored values, e.g. threshold values
• CPC Class Codes: G01N 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14
• CPC Class Codes: G01R 31/3274 Details related to measuring, e.g. sensing, displaying or computing; Measuring of variables related to the contact pieces, e.g. wear, position or resistance measuring contact resistance G01R27/205
• CPC Class Codes: G01R 31/3277 of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches
• CPC Class Codes: H01H 1/0015 Means for testing or for inspecting contacts, e.g. wear indicator measuring circuits G01R31/3274
• CPC Class Codes: H01H 11/0062 Testing or measuring non-electrical properties of switches, e.g. contact velocity monitoring contacts H01H1/0015; monitoring gas density H01H33/563; monitoring vacuum H01H33/668; calibrating H01H69/01; adjusting H01H71/74; testing of electrical properties G01R31/333
• CPC Class Codes: H01H 2011/0068 measuring the temperature of the switch or parts thereof
• CPC Class Codes: H01H 2033/6667 Details concerning lever type driving rod arrangements
• CPC Class Codes: H01H 2071/044 Monitoring, detection or measuring systems to establish the end of life of the switching device, can also contain other on-line monitoring systems, e.g. for detecting mechanical failures
• CPC Class Codes: H01H 3/30 using spring motor
• CPC Class Codes: H01H 33/666 Operating arrangements
• CPC Class Codes: H01H 71/04 Means for indicating condition of the switching device by means of an auxiliary contact H01H71/46
• CPC Class Codes: H01H 9/167 Circuits for remote indication

Abstract

A component monitoring system structured to monitor circuit breaker assembly component characteristics is provided. The component monitoring system includes a record assembly, a number of vibration sensor assemblies, a comparison assembly, and an output assembly. The record assembly includes selected nominal data for a selected circuit breaker component. The vibration sensor assembly is structured to measure a number of actual component characteristics for a substantial portion of the circuit breaker assembly and to transmit actual component characteristic output data. The comparison assembly is structured to receive an electronic signal from said record assembly and said sensor assemblies, to compare each sensor assembly actual component characteristic output data to said selected nominal data and to provide an indication signal as to whether said sensor assembly output data is acceptable when compared to the selected nominal data. The output assembly includes a communication assembly and an output device.

Claims

1. A circuit breaker assembly component monitoring system structured to monitor circuit breaker assembly component characteristics, said system comprising:

a record assembly including selected nominal data for a selected circuit breaker component;

a number of vibration sensor assemblies structured to measure a number of actual component characteristics of a substantial portion of said circuit breaker assembly and to transmit actual component characteristic output data;

a comparison assembly structured to receive an electronic signal from said record assembly and said vibration sensor assemblies, to compare said vibration sensor assembly actual component characteristic output data to said selected nominal data and to provide an indication signal as to whether said vibration sensor assembly output data is acceptable when compared to the selected nominal data;

an output assembly including a communication assembly and an output device;

said communication assembly structured to receive said indication signal from said comparison assembly and to communicate a signal to said output device;

each vibration sensor assembly in electronic communication with said comparison assembly; and

said comparison assembly in electronic communication with said communication assembly.

2. The component monitoring system of claim 1 wherein:

said comparison assembly includes a processing assembly, an input/output device, and a comparison module; and

said processing assembly structured to execute said comparison module; and

said comparison assembly structured to compare said vibration sensor assembly actual component characteristic output data to said selected nominal data and to provide an indication signal representing an indication of remaining useful life for a selected circuit breaker component.

3. The component monitoring system of claim 2 wherein:

the indication of remaining useful life is calculated according to the equation written for each observations (n=total observations);

y₁=β

₁f₁(x_1i)+β

₂f₂(x_2i)+β

₃f₃(x_3i)+ . . . +β

_kf_k(x_ki)+ε

₁

wherein;

y=a form containing actual component characteristic output data ∈

(y₁, y₂, . . . , y_n)

T a form assigning relation between time function or forms of functions containing time (t) ∈

(f₁(t_i), f₂(t_i), . . . , f_k(t_i));

X=a form assigning relation between dependent and independent variables and actual component characteristic output data ∈

(f₁(x₁), f₂(x₂), . . . , f_k(x_k));

β

=a form with k parameters forming model equation=[β

₁β

₂ . . . β

_k]^T and k=total number of characteristic output parameters for which the data is collected; and

ε

˜

N(O, σ

²)=independent and identically distributed random variable (iid) ∈

(ε

₁, ε

₂, ε

₃, . . . ε

_n).

4. The component monitoring system of claim 1 wherein said selected nominal data is model selected nominal data.

5. The component monitoring system of claim 4 wherein said model selected nominal data includes segmented signal data.

6. The component monitoring system of claim 5 wherein:

said segmented signal data includes a number of data segments; and

each data segment including a total energy attribute, a segment mean energy attribute, a segment duration attribute, and a time domain correlation attribute,

7. The component monitoring system of claim 6 wherein:

said comparison assembly is structured to divide said actual component characteristic output data into measured periods substantially corresponding to said segmented signal data segments;

said comparison assembly is structured to calculate calculated component characteristics including a total energy characteristic, a segment mean energy characteristic, a segment duration characteristic, and a time domain correlation characteristic;

wherein said comparison assembly is structured to compare said calculated component characteristics for each said measured period to the model selected nominal data for a corresponding segmented signal data segment; and

wherein said comparison assembly is structured to compare, within each measured period and segmented signal data segment, said total energy characteristic to said total energy attribute, said segment mean energy characteristic to said segment mean energy attribute, said segment duration characteristic to said segment duration attribute, and said time domain correlation characteristic to said time domain correlation attribute.

8. The component monitoring system of claim 6 wherein each of said total energy attribute, segment mean energy attribute, segment duration attribute, and time domain correlation attribute are calculated by methods such as Fast Fourier transform (FFT), Short-time Fourier transform (STFT), Dynamic Time Warping (DTW) data.

9. The component monitoring system of claim 6 wherein said comparison assembly structured to associate each said data segment with a selected component of said circuit breaker assembly.

10. The component monitoring system of claim 1 wherein said record assembly includes initial selected nominal data and at least one of acquired selected nominal data or local acquired selected data.

11. A circuit breaker assembly comprising:

an operating mechanism including a number of components;

a component monitoring system structured to monitor circuit breaker assembly component characteristics, said component monitoring system including a record assembly, a number of vibration sensor assemblies, a comparison assembly, and an output assembly;

said record assembly including selected nominal data for a selected circuit breaker component;

each vibration sensor assembly structured to measure a number of actual component characteristics of a substantial portion of said circuit breaker assembly and to transmit actual component characteristic output data;

said comparison assembly structured to receive an electronic signal from said record assembly and said vibration sensor assemblies, to compare said vibration sensor assembly actual component characteristic output data to said selected nominal data and to provide an indication signal as to whether said vibration sensor assembly output data is acceptable when compared to the selected nominal data;

said output assembly including a communication assembly and an output device;

said communication assembly structured to receive said indication signal from said comparison assembly and to communicate a signal to said output device;

each vibration sensor assembly in electronic communication with said comparison assembly; and

said comparison assembly in electronic communication with said communication assembly.

12. The circuit breaker assembly of claim 11 wherein:

said comparison assembly includes a processing assembly, an input/output device, and a comparison module;

said processing assembly structured to execute said comparison module; and

said comparison assembly structured to compare said vibration sensor assembly actual component characteristic output data to said selected nominal data and to provide an indication signal representing an indication of remaining useful life for a selected circuit breaker component.

13. The circuit breaker assembly of claim 12 wherein:

the indication of remaining useful life is calculated according to the equation written for each observations (n=total observations);

y₁=β

₁f₁(x_1i)+β

₂f₂(x₂₁)+β

₃f₃(x₃₁)+ . . . +β

_kf_k(x_k1)+ε

₁

wherein;

y=a form containing actual component characteristic output data ∈

(y₁, y₂, . . . , y_n)

T=a form assigning relation between time function or forms of functions containing time (t) ∈

(f₁(t_i), f₂(t_i), . . . , f_k(t_i));

X=a form assigning relation between dependent and independent variables and actual component characteristic output data ∈

(f₁(x₁), f₂(x₂), . . . , f_k(x_k));

β

=a form with k parameters forming model equation=[β

₁β

₂ . . . β

_k]^T and k=total number of characteristic output parameters for which the data is collected; and

ε

˜

N(O, σ

²)=independent and identically distributed random variable (iid) ∈

(ε

₁, ε

₂, ε

₃, . . . , ε

_n).

14. The circuit breaker assembly of claim 11 wherein said selected nominal data is model selected nominal data.

15. The circuit breaker assembly of claim 14 wherein said model selected nominal data includes segmented signal data.

16. The circuit breaker assembly of claim 15 wherein:

said segmented signal data includes a number of data segments; and

each data segment including a total energy attribute, a segment mean energy attribute, a segment duration attribute, and a time domain correlation attribute.

17. The circuit breaker assembly of claim 16 wherein:

said comparison assembly is structured to divide said actual component characteristic output data into measured periods substantially corresponding to said segmented signal data segments;

said comparison assembly is structured to calculate calculated component characteristics including a total energy characteristic, a segment mean energy characteristic, a segment duration characteristic, and a time domain correlation characteristic;

wherein said comparison assembly is structured to compare said calculated component characteristics for each said measured period to the model selected nominal data for a corresponding segmented signal data segment; and

wherein said comparison assembly is structured to compare, within each measured period and segmented signal data segment, said total energy characteristic to said total energy attribute, said segment mean energy characteristic to said segment mean energy attribute, said segment duration characteristic to said segment duration attribute, and said time domain correlation characteristic to said time domain correlation attribute.

18. The circuit breaker assembly of claim 16 wherein each of said total energy attribute, segment mean energy attribute, segment duration attribute, and time domain correlation attribute are calculated by methods such as Fast Fourier transform (FFT), Short-time Fourier transform (STFT), Dynamic Time Warping (DTW) data.

19. The circuit breaker assembly of claim 16 wherein said comparison assembly structured to associate each said data segment with a selected component of said circuit breaker assembly.

20. The circuit breaker assembly of claim 11 wherein said record assembly includes initial selected nominal data and at least one of acquired selected nominal data or local acquired selected data.