CN102721920A - Prediction device and method for remaining life of operating mechanism of circuit breaker - Google Patents

Prediction device and method for remaining life of operating mechanism of circuit breaker Download PDF

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Publication number
CN102721920A
CN102721920A CN201210222502XA CN201210222502A CN102721920A CN 102721920 A CN102721920 A CN 102721920A CN 201210222502X A CN201210222502X A CN 201210222502XA CN 201210222502 A CN201210222502 A CN 201210222502A CN 102721920 A CN102721920 A CN 102721920A
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China
Prior art keywords
isolating switch
operation mechanism
device
breaker operation
gather
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CN201210222502XA
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Chinese (zh)
Inventor
滕云
李勇
徐建源
林莘
庚振新
齐宏伟
李岩
苏蔚
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沈阳工业大学
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Priority to CN201210222502XA priority Critical patent/CN102721920A/en
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Abstract

The invention relates to a prediction device and a prediction method for the remaining life of an operating mechanism of a circuit breaker. The device comprises the circuit breaker, a signal collection device, a data collection module, a central processing unit, an industrial personal computer and a wireless communication module. Signals collected by the signal collection device are output to an input end of the data collection module, an output end of the data collection module is connected with a universal I/O (Input/Output) interface of the central processing unit, and an output end of the central processing unit is connected with an input end of the industrial personal computer and an input end of the wireless communication module. According to the method, the closing time of the circuit breaker, the coil voltage of an electromagnetic valve, the coil current of the electromagnetic valve, the number of use, the mechanical noise, the ambient pressure, the ambient temperature and the ambient humidity are directly measured to predict the service life of the circuit breaker by using the device, so as to avoid error caused by modeling and parameter selection by conventional methods. The time sequence generated by collection quantity is used as an input of the model so that the input quantity is simple and accurate to extract and the prediction efficiency is high.

Description

A kind of breaker operation mechanism residual service life prediction device and method

Technical field

The invention belongs to breaker technical field, particularly a kind of breaker operation mechanism residual service life prediction device and method.

Background technology

Relevant statistics shows, transformer station's maintenance cost over half be flower on switch, and 60% be light maintenance and the regular maintenance that is used for isolating switch wherein; In addition according to statistics, 10% circuit breaker failure is because due to the incorrect maintenance, the overhaul of isolating switch is disintegrated fully; Both time-consuming, expense is also very high, can reach 1/3-1/2 of whole isolating switch; And disintegrate and ressemble and can cause a lot of defectives, consequent accident example is too numerous to enumerate especially.Which parts (or critical elements) for isolating switch; How long operation needs to change; Be still the problem of a dispute, in fact in relatively more conservative at present scheduled overhaul, it is still functional when the back was upgraded in a lot of years that many parts operations take place often; And owing to find in time that not a certain parts defective occurs and cause the situation of power grid accident also to happen occasionally.Therefore can understand the state of isolating switch, reduce too early or unnecessary power failure test and maintenance, accomplish to answer Xiu Zexiu, just can significantly improve Power System Reliability and economy.

Summary of the invention

To the deficiency of prior art, the present invention provides a kind of breaker operation mechanism residual service life prediction device and method.

A kind of prediction unit of breaker operation mechanism residual life comprises isolating switch, signal pickup assembly, data acquisition module, central processing unit, industrial computer and wireless communication module;

Said signal pickup assembly comprises voltage transformer (VT), current transformer, temperature sensor, humidity sensor, baroceptor, displacement transducer and digital sound level meter;

Voltage transformer (VT) is used to gather the voltage of the electromagnetic valve coil of isolating switch; Current transformer is used to gather the electric current of the electromagnetic valve coil of isolating switch; Temperature sensor is used to gather isolating switch place environment temperature, and humidity sensor is used to gather isolating switch place ambient humidity, and baroceptor is used to gather isolating switch place ambient pressure; Displacement transducer is used to gather the closing time of isolating switch, and digital sound level meter is used to gather the mechanical noise of isolating switch place environment.

Data acquisition module is used for the signal of signal pickup assembly collection is carried out the AD conversion.

Collection capacity after central processing unit is changed AD carries out data processing.

Wireless communication module is used for carrying out data communication with the remote dispatching terminal.

The connection of this device is: displacement transducer is installed on the pull bar of breaker operation mechanism; The output terminal of each sensor connects the input end of data acquisition module, and the output terminal of data acquisition module connects the general purpose I/O interface of central processing unit, and the industrial computer input end is connected with the serial ports of central processing unit respectively with the wireless communication module input end.

Adopt the prediction unit of described breaker operation mechanism residual life to carry out the method for breaker operation mechanism predicting residual useful life, comprise the steps:

Step 1: closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of gathering isolating switch;

Gather the electromagnetic valve coil voltage and current of isolating switch through the voltage transformer (VT) summation current transformer; Gather the temperature and humidity of isolating switch place environment through temperature sensor and humidity sensor; Gather the atmospheric pressure value of isolating switch place environment through baroceptor; Digital sound level meter is gathered the mechanical noise of isolating switch place environment, and displacement transducer is gathered closing time, access times and the mechanical vibration of isolating switch.

Step 2: the simulating signal that collects is carried out the A/D conversion, deliver to central processing unit;

Step 3: the breaker operation mechanism residual life is predicted;

Step 3.1: the data to gathering are carried out Space Reconstruction; In a time series with closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of the isolating switch that collects as system's input quantity, reconstruct the space of the NLS that characterizes the isolating switch residual life;

Step 3.2: set up and describe the breaker operation mechanism residual life, and find the solution this mathematical model based on the mathematical model of complex network;

Step 3.3: obtain predicting the outcome of breaker operation mechanism residual life;

Step 4: predicting the outcome of breaker operation mechanism residual life is sent to the remote dispatching terminal through wireless communication module, so that the maintenance personal overhauls.

Beneficial effect:

Breaker operation mechanism residual service life prediction device of the present invention is directly measured the closing time of isolating switch, electromagnetic valve coil voltage; The line solenoid valve loop current, access times, mechanical vibration, mechanical noise, ambient pressure, environment temperature and ambient humidity are as input quantity; And finally utilize sensor, data acquisition module, central processing unit, industrial computer and wireless communication module to realize the isolating switch monitoring in serviceable life; Avoid classic method to set up the error that model causes when choosing parameter, the time series that generates with collection capacity is set up and is described the breaker operation mechanism residual life based on the mathematical model of complex network as the input of forecast model; Having input quantity extracts simple; Accurately high, accuracy is good, the characteristics that forecasting efficiency is high.

Description of drawings:

Fig. 1 specific embodiment of the invention breaker operation mechanism residual service life prediction device work synoptic diagram;

Fig. 2 specific embodiment of the invention breaker operation mechanism residual service life prediction device structured flowchart;

The data acquisition module of Fig. 3 specific embodiment of the invention breaker operation mechanism residual service life prediction device and central processing unit CC schematic diagram;

Fig. 4 specific embodiment of the invention breaker operation mechanism method for predicting residual useful life general flow chart;

Fig. 5 specific embodiment of the invention adopts the process flow diagram that carries out the breaker operation mechanism predicting residual useful life based on the mathematical model of complex network;

Fig. 6 specific embodiment of the invention breaker operation mechanism predicting residual useful life curve and actual curve figure;

The complex network structures synoptic diagram that adopts in Fig. 7 specific embodiment of the invention.

Embodiment:

Below in conjunction with accompanying drawing practical implementation of the present invention is further specified.

A kind of breaker operation mechanism residual service life prediction device like Fig. 1, shown in 2, comprises isolating switch, signal pickup assembly, data acquisition module, central processing unit, industrial computer and wireless communication module;

In this embodiment, it is example that isolating switch is selected the ZW27-17 of vacuum 10kv for use, and this isolating switch used 10 years.

Signal pickup assembly comprises voltage transformer (VT), current transformer, temperature sensor, humidity sensor, baroceptor, displacement transducer and digital sound level meter; Voltage transformer (VT) is selected JDG4-0.5 100000/100 model for use; Current transformer is selected the LZJC-10Q model for use, and temperature sensor and humidity sensor are selected the PCMini70 model for use, and baroceptor is selected the PT603 model for use; Displacement transducer CTL, the 5633B digital sound level meter is used in noise testing.

Data acquisition module is selected the TLC2543 12 bits serial A/D converter of TI company for use, and this device uses switching capacity approximation technique completion A/D transfer process one by one.Owing to be the serial input structure, can save 51 series monolithic I/O resources, and moderate.The serial a/d converter is very simple with being connected of single-chip microcomputer.AIN0 ~ AIN10 is an analog input end; CS is a sheet choosing end; DIN is the serial data input end; DOUT is the ternary serial output terminal of A/D transformation result; EOC is the EOC end; CLK is the I/O clock; REF+ is positive reference voltage terminal; REF-is negative reference voltage terminal; VCC is a power supply; GND is ground.

Central processing unit adopts 51 single-chip microcomputers; Selecting model for use is STC89C51, and single-chip microcomputer is the core of total system, and serial a/d converter TLC2543 gathers the simulating signal of input; Sampling resolution, ALT-CH alternate channel and output polarity are selected by software; Owing to be the serial input structure, can save 51 series monolithic I/O resources, the data that single-chip microcomputer is gathered convert to through MAX232 through serial ports (10,11 pin) and realize transmission between RS232 level and host computer (industrial computer).

Industrial computer adopts UNO-3072 Series P entium M/Celeron M built-in industrial control machine, through the serial port that single-chip microcomputer carries, can realize the serial communication with industrial computer.Serial ports COM1, the COM2 that industrial computer provides adopts the RS-232 interface standard.And RS-232 comes the presentation logic state with generating positive and negative voltage, comes the regulation of presentation logic state different with TTL with high-low level.For realizing the industrial computer interface or being connected with the TTL device (like single-chip microcomputer) at terminal; Must between RS-232 and TTL circuit, carry out the conversion of level and logical relation; Adopt translation circuit to carry out level and logical relation conversion in this embodiment; Translation circuit is selected the chip MAX232 of a compatible RS232 standard of being released by Texas Instruments (TI) for use, and this device comprises 2 drivers, 2 receivers and a voltage generator circuit, and this voltage generator circuit provides TIA/EIA-232-F level.This device meets the TIA/EIA-232-F standard, and each receiver becomes 5V TTL/CMOS level with the TIA/EIA-232-F level conversion, and each transmitter becomes the TIA/EIA-232-F level with the TTL/CMOS level conversion.

Wireless communication module adopts H7000 series wireless communication system.

As shown in Figure 3, the concrete connection of this device is: displacement transducer is installed on the pull bar of breaker operation mechanism, and the output terminal of each device is connected respectively to the input end AIN0-AIN6 of TLC2543 in the signal pickup assembly; The output terminal EOC of TLC2543, CLK, DIN; DOUT, CS are connected respectively to the P10 of 51 single-chip microcomputers; P11, P12, P13, P14 pin.10 pins (RXD) of single-chip microcomputer STC89C51,11 pins (TXD) are connected with 10 pins (T2in) with 9 pins (R2out) of translation circuit MAX232, and the input end of industrial computer input end and wireless communication module is connected with the single-chip microcomputer output terminal respectively; The electric information of isolating switch and mechanical information carry out synchronized sampling, maintenance, A/D via corresponding signal pickup assembly and convert digital signal to; Send into calculating and data processing that single-chip microcomputer is classified; And data are delivered to wireless communication module, carry out communication with remote dispatching.

Adopt above-mentioned breaker operation mechanism residual service life prediction device to carry out the method for breaker operation mechanism predicting residual useful life, its flow process is as shown in Figure 4, comprises the steps:

Step 1: closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of gathering isolating switch;

With closing time, electromagnetic valve coil voltage, the line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and ambient humidity are as input quantity; Gather sample value and see table 1:

Table 1 is gathered sample value

Gather sample The collection value Closing time 1.3m/s Electromagnetic valve coil voltage 110/v The line solenoid valve loop current 0.1100/A Atmospheric pressure value 100.5/kpa Mechanical noise 0.2dBA Mechanical vibration 2/s Environment temperature 30/°C Ambient humidity 68% Access times 35

Step 2: the simulating signal that collects is carried out the A/D conversion, deliver to central processing unit;

Step 3: carry out the breaker operation mechanism residual life and predict that its flow process is as shown in Figure 5;

Step 3.1: the data to gathering are carried out Space Reconstruction; In a time series with closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of the isolating switch that collects as system's input quantity, reconstruct the space of the NLS that characterizes the isolating switch residual life;

If the system time sequence of gathering is (x 1, x 2... x n), can know by table 1 that then the input quantity number is n;

The system space form of reconstruct is:

x 1 = ( x 11 , x 12 , . . . . . , x 1 N ) x 2 = ( x 21 + τ , x 22 + τ , . . . . . , x 2 N + τ ) . . . . . . . x i = ( x i 1 + ( i - 1 ) τ , x i 2 + ( i - 1 ) τ , . . . . . . , x iN + ( i - 1 ) τ ) - - - ( 1 )

Wherein, x INBe a related pixel in the data of a certain moment collection, τ is time delay, and N is a natural number, x iBe the point mutually in the reconstruction attractor, i=1,2 ..., n;

Step 3.2: set up and describe the breaker operation mechanism residual life, and find the solution this mathematical model based on the mathematical model of complex network;

Regard the space of reconstruct as have two-tier network to constitute by one complex network, the ground floor center has only 1 node, and there are 8 nodes at second layer center.Therefore this complex network of the individual node of N (N=9) is arranged is 1 ~ 8 central site network.

Foundation is described the breaker operation mechanism residual life based on the mathematical model of complex network, and this mathematical model is expressed as:

x i ( t + 1 ) = f i ( x i ( t ) ) + ϵ Σ j = 1 n a ij h j ( x j ( t ) ) , i = 1 , . . . . n , - - - ( 2 )

X wherein i(t)=(x I1(t), x I2(t) ... x IN(t)) T∈ R NThe state vector of expression node i, A=(a Ij) N * nBe coupled matrix, f i: R N→ R NExpression node i self evolution function, f i(x)=and 4x (1-x), h j: R N→ R NBe the inner couplings rule, the output function h of expression node j j(x)=ε f (x (t)), wherein, stiffness of coupling ε=0.005.

Can regard the collection capacity of isolating switch as a complex network, specifically be by closing time, electromagnetic valve coil voltage; The line solenoid valve loop current, atmospheric pressure value, mechanical noise; Mechanical vibration, access times, the network that environment temperature and ambient humidity are formed; Regard each collection capacity as a node, the relation between the node is regarded the limit as, and complex network is as shown in Figure 7.

In formula (2), f i, h i(i, j=1,2 ..., n) known, and for i=1,2 ..., n, t=0,1,2 ..., variable x i(t) value is the collection capacity of the isolating switch that directly records, and the topological structure of complex network is unknown.Estimating the topological structure of complex network, specifically is exactly to estimate coupled matrix A=(a Ij) in element.

System (2) as drive system, is introduced following responding system

y i ( t + 1 ) = f i ( x i ( t ) ) + Σ j = 1 n b ij h j ( x j ( t ) ) , i = 1,2 , . . . . . n - - - ( 3 )

Here y i()=(y I1(), y I2() ... y IN()) T∈ R N, i=1,2 ... n, b Ij() ∈ R is the time-varying parameter sequence,

I, j=1,2 ... ..n, introduce parameter adaptive control system

b ij(t+1)=b ij(t)-k(y i(t+1)x i(t+1)) Th j(x j(t)),i,j=1,2,......n,(4)

Wherein k ∈ R is an optional parameter.Rewrite equation (2) respectively, (3), (4) are following rectangular

Formula,

X(t+1)=FX(t)+AH(X(t)) (5)

Y(t+1)=F(X(t))+B(t)H(X(t)) (6)

B(t+1)=B(t)-kE(t+1)H(X(t)) T (7)

Wherein, x i(t+1) be expressed as X (t+1), f i(x i(t)) be expressed as FX (t), h j(x j(t)) be expressed as H (X (t)), a IjBe A, y i(t+1) be Y (t+1), x i(t) TBe X (t) T

Here X ()=(x 1(), x 2() ... x n()) T∈ R N * N, Y ()=(y 1(), y 2() ... y n()) T∈ R N * N,

E(·)=Y(·)-X(·),F(X)=(f 1(x 1),f 2(x 2),......f n(x n))∈R n×N,H(X)=(h 1(x 1),h 2(x 2),......h n(x n))∈R n×N

Equation (6) deducts equation (5), obtains

E(t+1)=(B(t)-A)H(X(t)) (8)

With the substitution formula as a result (7) of (8), and both sides deduct A, can obtain

ΔB(t+1)=ΔB(t)[I-kH(X(t))H(X(t)) T] (9)

Wherein, △ B ()=B ()-A, I are a unit matrix.

At first, structure Lyapunov function W (t)

W ( t ) = Σ i = 1 n Σ j = 1 n Δ b ij ( t ) 2 , - - - ( 10 )

Δ b wherein Ij(t)=b Ij(t)-a Ij

TrA representes the mark of a square formation A, and following result is then arranged:

(1) trA = Σ i = 1 n a ii , A = ( a ij ) ∈ M n × n ;

(2)tr(αA+βB)=αtrA+βtrB,A,B∈M n×n,α,β∈R

(3)tr(AB)=tr(BA),A∈M m×n,B∈M n×m;

(4) tr ( AA T ) = Σ i = 1 m Σ j = 1 n a ij 2 , A ∈ M m × n ;

(5) if A=(a Ij) ∈ M M * n, B=(b Jk) ∈ M N * p, then have

tr((AB)(AB) T)≤tr(AA T)tr(BB T) (11)

Secondly, according to the Lasalle invariance principle of difference, differential type is:

x m+1=T(x m),m=0,1,......

T:R wherein N→ R N, V is the Lyapunov function of equation in G, if V continuously and All x ∈ G are set up, and then note is made E={x:V=0, and x ∈ G}, M are the maximum invariant set of E, V -1(c)={ x:V (x)=c, x ∈ R NHere Δ b (t)=b Ij(t)-a Ij

At last, according to the result of formula (11) trace of a matrix, can get t+1 Lyapunov function W (t+1) constantly: W (t+1)

=tr(ΔB(t+1)ΔB(t+1) T)

=tr(ΔB(t)ΔB(t) T)-2k·tr[((ΔB(t)H(X(t)))(ΔB(t)H(X(t))) T]

+k 2·tr[(ΔB(t)H(X(t))·H(X(t)) T)(ΔB(t)H(X(t))H(X(t)) T) T] (12)

≤W(t)-2k·tr[((ΔB(t)H(X(t)))(ΔB(t)H(X(t))) T]

+k 2·tr[(ΔB(t)H(X(t))·H(X(t)) T)(ΔB(t)H(X(t))H(X(t)) T) T]

=W(t)-k(2-k·tr[H(X(t)) T·H(X(t)))·tr[(ΔB(t)H(X(t))(ΔB(t)H(X(t))) T]

Make-k (2-ktr [H (X (t)) TH (X (t))]<0, satisfy following formula as long as choose parameter k for this reason

0 < k < 2 ( &Sigma; j = 1 n L j 2 ) - 1 - - - ( 13 )

h j(·)|≤L j,j=1,2,.....n。K=k wherein n, k nFor In maximum positive integer,

tr [ &Delta;B ( t ) H ( X ( t ) ) ( &Delta;B ( t ) H ( X ( t ) ) ) T ] = &Sigma; i = 1 n &Sigma; k = 1 N ( &Sigma; j = 1 n &Delta; b ij ( t ) h jk ( x j ( t ) ) ) 2 &GreaterEqual; 0

Obtain Δ W (t)=W (t+1)-W (t)≤0 and make Δ W (t)=0, then

tr[ΔB(t)H(X(t))(Δ(t)H(X(t))) T]=0 (14)

Promptly

&Sigma; j = 1 n &Delta; b ij ( t ) h jk ( x j ( t ) ) = 0 , i = 1,2 , . . . , n , k = 1,2 , . . . , N

Or

&Sigma; j = 1 n &Delta; b ij ( t ) h j ( x j ( t ) ) = 0 , i = 1,2 , . . . , n

Because Linear independence, so Δ b Ij(t)=0, to all i, j=1,2 ... .n sets up.According to the Lasalle invariance principle, Δ b Ij(t)=the 0th, the maximum invariant set of Δ W (t)=0, thereby b Ij(t)=a Ij, i, j=1,2 ... the overall attractor of ..n adaptive control system, wherein get b IjInitial value do N is the maximal value of pixel.To sum up, utilization responding system (3) and adaptive control system (4) realize that to topological structure parameter in the discrete time complex network (2) be coupled matrix a IjEstimation.

Coupled matrix a Ij = 1 N - k [ 4 x i ( 1 - x i ( t ) ) ] - 4 &epsiv; x i ( t + 1 ) T x j ( t ) [ 1 - x j ( t ) ]

Wherein when i ≠ j,, then stipulate a if to node i line is arranged from node j Ij=1, otherwise a Ij=0; And when i=j, Calculate according to (13) Get 0<k<27.0588, then to all i, j=1,2 ... .9, can use b Ij(t) calculate a Ij, get k=27 here, initial value is taken as 2 ... ... 9.

Step 3.3: obtain predicting the outcome of breaker operation mechanism residual life;

This embodiment is selected the ZW27-17 isolating switch of vacuum 10kv for use, uses 10 years.Can know prediction breaker operation mechanism residual life and actual isolating switch residual life curve by Fig. 6, horizontal ordinate is represented service time, and ordinate is represented remaining life, promptly uses number of times, 100% expression 10000 times, and predicated error is in ± 9%.

Step 4: predicting the outcome of breaker operation mechanism residual life is sent to the remote dispatching terminal through wireless communication module, so that the maintenance personal overhauls.

Claims (2)

1. the prediction unit of a breaker operation mechanism residual life comprises isolating switch, it is characterized in that: also comprise signal pickup assembly, data acquisition module, central processing unit, industrial computer and wireless communication module;
Said signal pickup assembly comprises voltage transformer (VT), current transformer, temperature sensor, humidity sensor, baroceptor, displacement transducer and digital sound level meter; Voltage transformer (VT) is the device that is used to gather circuit breaker electric magnet valve coil voltage; Current transformer is the device that is used to gather the line solenoid valve loop current; Temperature sensor is the device that is used to gather isolating switch place environment temperature; Humidity sensor is the device that is used to gather isolating switch place ambient humidity; Baroceptor is the device that is used to gather isolating switch place ambient pressure, and displacement transducer is the device that is used to gather the breaker closing time, and digital sound level meter is the device that is used to gather isolating switch place neighbourhood noise;
The signal of signal pickup assembly collection exports the input end of data acquisition module to, and the output terminal of data acquisition module connects the general purpose I/O interface of central processing unit, and the output terminal of central processing unit connects industrial computer input end and wireless communication module input end.
2. the prediction unit of the described breaker operation mechanism residual life of employing claim 1 carries out the Forecasting Methodology of breaker operation mechanism residual life, it is characterized in that: comprise the steps:
Step 1: closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of gathering isolating switch;
Step 2: the simulating signal that collects is carried out the A/D conversion, deliver to central processing unit;
Step 3: the breaker operation mechanism residual life is predicted;
Step 3.1: the data to gathering are carried out Space Reconstruction: in a time series with closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of the isolating switch that collects as system's input quantity, reconstruct the space of the NLS that characterizes the isolating switch residual life;
Step 3.2: set up and describe the breaker operation mechanism residual life, and find the solution this mathematical model based on the mathematical model of complex network;
Step 3.3: obtain predicting the outcome of breaker operation mechanism residual life;
Step 4: predicting the outcome of breaker operation mechanism residual life is sent to the remote dispatching terminal through wireless communication module, so that the maintenance personal overhauls.
CN201210222502XA 2012-06-29 2012-06-29 Prediction device and method for remaining life of operating mechanism of circuit breaker CN102721920A (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103323225A (en) * 2013-06-21 2013-09-25 国家电网公司 Gas insulation power distribution cabinet mechanical strength prediction device and method
CN103324990A (en) * 2013-06-21 2013-09-25 沈阳工业大学 Totally-closed gas insulation switch cabinet tightness prediction device and method
CN103323757A (en) * 2013-06-21 2013-09-25 国家电网公司 Power distribution cabinet gas insulation intensity prediction device and method
CN103336200A (en) * 2013-06-21 2013-10-02 国家电网公司 Device and method for predicting power distribution cabinet electric health index
CN104091056A (en) * 2014-06-27 2014-10-08 上海网正信息科技有限公司 System and method for predicting service life of laboratory equipment
CN104267336A (en) * 2014-08-01 2015-01-07 云南电力试验研究院(集团)有限公司电力研究院 Fault diagnosis system based on circuit breaker operating mechanism
CN104267337A (en) * 2014-08-01 2015-01-07 云南电力试验研究院(集团)有限公司电力研究院 All-in-one detecting platform and state recognition system based on circuit breaker operating mechanism
CN109212966A (en) * 2018-08-14 2019-01-15 西安交通大学 A kind of mechanical equipment method for predicting residual useful life of multi-state dynamic benchmark

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101825894A (en) * 2010-04-30 2010-09-08 北京航空航天大学 SF6 high-voltage circuit breaker state intelligent monitoring and health management system
CN102142719A (en) * 2011-04-28 2011-08-03 武汉英康铁路电气设备工程有限公司 Method for integration and data processing of insulated on-line monitoring system of transformer substation
CN102289590A (en) * 2011-08-18 2011-12-21 沈阳工业大学 Method for estimating operating state of SF6 high-voltage circuit breaker and intelligent system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101825894A (en) * 2010-04-30 2010-09-08 北京航空航天大学 SF6 high-voltage circuit breaker state intelligent monitoring and health management system
CN102142719A (en) * 2011-04-28 2011-08-03 武汉英康铁路电气设备工程有限公司 Method for integration and data processing of insulated on-line monitoring system of transformer substation
CN102289590A (en) * 2011-08-18 2011-12-21 沈阳工业大学 Method for estimating operating state of SF6 high-voltage circuit breaker and intelligent system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘春 等: "断路器在线监测与诊断的远端查看系统研究", 《中国电机工程学会高压专委会2007年学术年会论文集》 *
易慧: "高压断路器新型状态监测装置的研制", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 *
王佳兴: "基于GMDH方法的设备剩余寿命预测", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 *

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* Cited by examiner, † Cited by third party
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CN103324990B (en) * 2013-06-21 2016-04-06 沈阳工业大学 A kind of all-closed gas insulating switch cubicle tightness prediction unit and method
CN103324990A (en) * 2013-06-21 2013-09-25 沈阳工业大学 Totally-closed gas insulation switch cabinet tightness prediction device and method
CN103323757A (en) * 2013-06-21 2013-09-25 国家电网公司 Power distribution cabinet gas insulation intensity prediction device and method
CN103336200A (en) * 2013-06-21 2013-10-02 国家电网公司 Device and method for predicting power distribution cabinet electric health index
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CN103323757B (en) * 2013-06-21 2015-05-27 国家电网公司 Power distribution cabinet gas insulation intensity prediction device and method
CN103323225B (en) * 2013-06-21 2015-05-27 国家电网公司 Gas insulation power distribution cabinet mechanical strength prediction method
CN103336200B (en) * 2013-06-21 2015-07-08 国家电网公司 Device and method for predicting power distribution cabinet electric health index
CN104091056A (en) * 2014-06-27 2014-10-08 上海网正信息科技有限公司 System and method for predicting service life of laboratory equipment
CN104091056B (en) * 2014-06-27 2018-04-17 上海网正信息科技有限公司 A kind of laboratory equipment life forecast system and method
CN104267337A (en) * 2014-08-01 2015-01-07 云南电力试验研究院(集团)有限公司电力研究院 All-in-one detecting platform and state recognition system based on circuit breaker operating mechanism
CN104267336A (en) * 2014-08-01 2015-01-07 云南电力试验研究院(集团)有限公司电力研究院 Fault diagnosis system based on circuit breaker operating mechanism
CN109212966A (en) * 2018-08-14 2019-01-15 西安交通大学 A kind of mechanical equipment method for predicting residual useful life of multi-state dynamic benchmark

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