CN104573931B - Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ - Google Patents

Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ Download PDF

Info

Publication number
CN104573931B
CN104573931B CN201410808285.1A CN201410808285A CN104573931B CN 104573931 B CN104573931 B CN 104573931B CN 201410808285 A CN201410808285 A CN 201410808285A CN 104573931 B CN104573931 B CN 104573931B
Authority
CN
China
Prior art keywords
msub
mtd
mrow
triz
state
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201410808285.1A
Other languages
Chinese (zh)
Other versions
CN104573931A (en
Inventor
戴炜
林双庆
黄宏光
廖然立
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan University
State Grid Sichuan Electric Power Co Ltd
Original Assignee
Sichuan University
State Grid Sichuan Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan University, State Grid Sichuan Electric Power Co Ltd filed Critical Sichuan University
Priority to CN201410808285.1A priority Critical patent/CN104573931B/en
Publication of CN104573931A publication Critical patent/CN104573931A/en
Application granted granted Critical
Publication of CN104573931B publication Critical patent/CN104573931B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Housings And Mounting Of Transformers (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a kind of Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ, including set up the step of Condition-based Maintenance of Substation Equipment guides model：Set TRIZ inventive principle matrixes, gather Condition-based Maintenance of Substation Equipment to be guided all kinds of quantity of states parameters TRIZ inventive principles domain experience value sequence, the mapping discrete series value of quantity of state reconstruct is asked for, the perfectly correlated coefficient between quantity of state and TRIZ inventive principles is asked for and builds transformer guidance model；And guide the step of model is guided to transformer using transformer：Gather the parameters and the actual sequence in TRIZ inventive principles domain of all kinds of quantity of states of Condition-based Maintenance of Substation Equipment to be guided, the actual mapping discrete series value of quantity of state reconstruct is asked for, the perfectly correlated coefficient between quantity of state and TRIZ inventive principles is asked for and asks for transformer guidance result.The present invention improves the regular evaluation result degree of accuracy to power network 220KV stations No. 1, No. 2 transformer working condition of main transformer.

Description

Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ
Technical field
Field, specifically a kind of transformer shape based on TRIZ are overhauled the present invention relates to electric power system power transformation equipment State overhauls method of guidance.
Background technology
Condition-based Maintenance of Substation Equipment is the major transformation of power equipment maintenance mode, is that current power grid operation company strives vigorously to advocate greatly The productive function led.The characteristics of repair based on condition of component, is overhauled on demand according to equipment state, it is to avoid blindness, makes service work more It is more notable for fine science, maintenance effect.Grid company gives repair based on condition of component directive/guide to the transformer of power network, and these are led Then it is widely used in domestic substantial amounts of transformer.The maintenance directive/guide used at present is carried out according to traditional technology using manual type Assess, the repair based on condition of component solution formulation pattern based on manual work can not meet requirement, in assessment and the computer aided manufacturing of becoming more meticulous Further lifting is needed in terms of helping guidance.However, there are no any similar research report at present.
Disclosed TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch, the solution of inventive problem It is theoretical) innovation theory is widely used in terms of innovation of products designing both domestic and external, and TRIZ is utilized to Condition-based Maintenance of Substation Equipment Becoming more meticulous for Condition-based Maintenance of Substation Equipment will be lifted by carrying out intelligent guidance.
The content of the invention
It is an object of the invention to provide a kind of Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ.
Realize that the technical scheme of the object of the invention is as follows：A kind of Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ, The step of including setting up Condition-based Maintenance of Substation Equipment guidance model：
1.1 according to TRIZ inventive principle tables
Set TRIZ inventive principle matrixesWherein aij represents TRIZ inventions The centrifugal pump of i-th j inventive principle, a in principle tableij=1；
1.2 gather the parameters and above-mentioned TRIZ invention originals of all kinds of quantity of states of Condition-based Maintenance of Substation Equipment to be guided The whether related history evaluation result of each inventive principle in table is managed, its empirical value sequence in TRIZ inventive principles domain is obtained Row
Wherein,
(n1,n2,...,nmax)ijRepresent i-th j invention in parameters n and TRIZ the inventive principle table of such quantity of state The correlation of principle, represents that the parameter is related to corresponding inventive principle as n=1, represented as n=0 the parameter with it is corresponding Inventive principle it is uncorrelated, represent that the parameter is related to corresponding inventive principle part as 0 ＜ n ＜ 1；
K represents quantity of state classification,
As k=1, body class quantity of state, including 32 parameters are represented：Short circuit current flow, short-circuit number of times, short-circuit impact tires out Meter, transformer overload, overexcitation, conservator potted component, body oil conservater oil level, permeability, oil leak, noise and vibration, surface Corrosion, respirator runs oil temperature, pressure relief valve, Buchholz relay, winding D.C. resistance, winding dielectric dissipation factor, electric capacity Amount, core inductance, winding frequency response test, short-circuit impedance, leakage current, winding insulation resistance, winding insulation absorptance or Polarization index；In oil loss factor, oil breakdown voltage, moisture, gas content of oil, insulation paper polymerization degree, infrared measurement of temperature, oil Dissolved gas analysis, transformer neutral point DC current test；Experience value sequence r1,nIn, (n1,n2,...,n32) corresponding above-mentioned 32 parameters；
As k=2, set tubing quantity of state, including 12 parameters are represented：External insulation retting-flax wastewater, external insulation climbs electrostrictive coefficient, Insulator is filthy, and insulator destruction, insulator electric discharge, seepage, oil level is indicated, insulaion resistance, dielectric loss, capacitance, solution gas in oil Body is analyzed, infrared measurement of temperature；Experience value sequence r2,nIn, (n1,n2,...,n12) above-mentioned 12 parameters of correspondence；
As k=3, cooling system class quantity of state, including 5 parameters are represented：Motor operation, cooling device control system, Cooling device radiating effect, permeability, oil leak；Experience value sequence r3,nIn, (n1,n2,...,n5) above-mentioned 5 parameters of correspondence；
As k=4, shunting switch class quantity of state, including 13 parameters are represented：Oil level, respirator, tap position, seepage, Switching times, with previous maintenance interval, on-line oil filter, transmission mechanism, stopping means failure, slide piece, control loop, action Characteristic, oil is pressure-resistant；Experience value sequence r4,nIn, (n1,n2,...,n13) above-mentioned 13 parameters of correspondence；
As k=5, non-ionizing energy loss class quantity of state, including 6 parameters are represented：Thermometer, oil level indicating gage, pressure is released Put valve, gas relay and indicates uniformity at a thermometer distant place on the spot, a position of tapping switch distant place and indicate uniformity on the spot； Experience value sequence r5,nIn, (n1,n2,...,n6) above-mentioned 6 parameters of correspondence；
1.3 rule of thumb value sequence to ask for each invention that each class quantity of state reconstructs on TRIZ inventive principles domain former The mapping discrete series value of reason
Wherein,Be i-th j inventive principle that kth class quantity of state is reconstructed on TRIZ inventive principles domain mapping from Dissipate value, nk,maxIt is the number of parameters of kth class quantity of state, rk,n,ijRepresent parameter n and TRIZ the inventive principle table of kth class quantity of state In i-th j inventive principle correlation sequential value；
The discrete sequence of mapping of 1.4 each inventive principle reconstructed according to each class quantity of state on TRIZ inventive principles domain Train valueAsk for each class quantity of state and each TRIZ inventive principle aijBetween perfectly correlated coefficientWherein, RijIt is all quantity of states of transformer and TRIZ inventive principles aijBetween it is complete Coefficient correlation；
1.5 work as Rij＜ 0.5 then makes bij=0, work as Rij>=0.5 makes bij=1, build transformer guidance model
Wherein, bij=1 represents that i-th j inventive principle can use in TRIZ inventive principle tables, bij=0 represents i-th j invention Principle is unavailable；
Also include, the step of being guided using transformer guidance model to transformer：
2.1 gather the parameters and above-mentioned TRIZ invention originals of all kinds of quantity of states of Condition-based Maintenance of Substation Equipment to be guided The whether related evaluating data of each inventive principle in table is managed, its actual sequence in TRIZ inventive principles domain is obtained rk,n'；
2.2 ask for each inventive principle that each class quantity of state is reconstructed on TRIZ inventive principles domain according to actual sequence Actual mapping discrete series value
The actual mapping of 2.3 each inventive principle reconstructed according to each class quantity of state on TRIZ inventive principles domain from Dissipate sequential valueAsk for each class quantity of state and b in transformer guidance modelijBetween perfectly correlated coefficient
2.4 work as Rij' ＜ 0.5 then makes cij=0, work as Rij' >=0.5 makes cij=1, obtain transformer guidance result
Wherein, cij=1 represents after guidance in TRIZ inventive principle tables I-th j inventive principle can use, cij=0 represents that i-th j inventive principle is unavailable after guidance.
The beneficial effects of the present invention are：Improve to No. 1, No. 2 transformer working conditions of power network 220KV stations main transformer The regular evaluation result degree of accuracy, short-circuit current rush is accumulative, dissolved gas analysis abnormal parameters are to transformer It is more accurate that influence is evaluated.
Embodiment
The present invention is described in detail below：
1.TRIZ inventive principles
Disclosed TRIZ inventive principles totally 40, by the innovative approach in industry it is abstract be 40 general character, it is as shown in the table,
1 40 inventive principles of table
Quantification treatment is carried out to principles above using matrix, it is as follows to obtain discrete series value,
V in formulaTrizRepresent the TRIZ inventive principles after quantifying, aijRepresent some inventive principle in TRIZ inventive principles from Dissipate sequential value, aijValue is 1.
2. the quantity of state sliding-model control of transformer
(1) quantity of state of Condition-based Maintenance of Substation Equipment
The key element of Condition-based Maintenance of Substation Equipment is quantity of state, and these quantity of states include body, sleeve pipe, cooling system, tap Switch, totally 5 kinds of non-ionizing energy loss,
SBkFor kth class quantity of state, such quantity of state is made up of series of parameters.
The parameter of quantity of state is as follows,
1) k=1：The 1st class quantity of state is represented, " body " quantity of state, including 32 parameters are represented,
(a) inspection is run：Short circuit current flow, short-circuit number of times, short-circuit impact adds up, and transformer overload, overexcitation, conservator is close Element (capsule, barrier film, metal expander), body oil conservater oil level, permeability, oil leak, noise and vibration, surface corrosion are sealed, is exhaled Haustorium, runs oil temperature, pressure relief valve.
(b) test：Buchholz relay, winding D.C. resistance, winding dielectric dissipation factor, capacitance, core inductance, winding Frequency response is tested, short-circuit impedance, leakage current, winding insulation resistance, winding insulation absorptance or polarization index；Oil medium is damaged Consume factor (tg δ), oil breakdown voltage, moisture, gas content of oil, insulation paper polymerization degree, infrared measurement of temperature, dissolved gas analysis (total hydrocarbon, acetylene, CO, CO2, hydrogen), transformer neutral point DC current test.
2) k=2：The 2nd class quantity of state is represented, " sleeve pipe " quantity of state, including 12 parameters are represented,
(a) inspection is run:External insulation retting-flax wastewater, external insulation climbs electrostrictive coefficient, and insulator is filthy, insulator destruction, insulator electric discharge, Seepage, oil level is indicated；
(b) test:Insulaion resistance, dielectric loss, capacitance, dissolved gas analysis (total hydrocarbon, acetylene, methane, hydrogen Gas), infrared measurement of temperature.
3) k=3：The 3rd class quantity of state is represented, " cooling system " quantity of state, including 5 parameters are represented,
(a) inspection is run:Motor operation, cooling device control system, cooling device radiating effect, permeability, oil leak.
4) k=4：The 4th class quantity of state is represented, " shunting switch " quantity of state, including 13 parameters are represented,
(a) inspection is run:Oil level, respirator, tap position, seepage, switching times, with previous maintenance interval, online filter Oily device, transmission mechanism, stopping means failure, slide piece, control loop.
(b) test:Acting characteristic, oil is pressure-resistant.
5) k=5：The 5th class quantity of state is represented, " non-ionizing energy loss " quantity of state, including 6 parameters are represented,
(a) inspection is tested：Thermometer, oil level indicating gage, pressure relief valve, gas relay, a thermometer distant place with the spot Uniformity is indicated, a position of tapping switch distant place with indicating uniformity on the spot.
(2) it is mapped to the experience value sequence in TRIZ inventive principles domain
Transformer state evaluation result based on grid company obtains experience of these parameters in TRIZ inventive principles domain Value sequence rk,nIt is as follows,
Above formula In, (n1,n2,...,nmax) it is the series of parameters for corresponding to all kinds of quantity of states, (n1,n2,...,nmax)ijRepresent such quantity of state Parameters n and TRIZ inventive principle tables in i-th j inventive principle correlation, represented as n=1 the parameter with it is corresponding Inventive principle it is related, represent that the parameter is uncorrelated to corresponding inventive principle as n=0, the parameter represented as 0 ＜ n ＜ 1 It is related to corresponding inventive principle part.
The following is the example of a transformer state evaluation result：
1) the 1st class quantity of state, represents the sequential value of " body " quantity of state
Now k=1, represents the sequential value r of the 1st class quantity of state " body "1,nIt is as follows：
First and second row：
Third and fourth row：
5th row：
2) the 2nd class quantity of state, represents the sequential value of " sleeve pipe " quantity of state
Now k=2, represents the sequential value r of the 2nd class quantity of state " sleeve pipe "2,nIt is as follows：
First and second row：
Third and fourth row：
5th row：
3) the 3rd class quantity of state, represents the sequential value of " cooling system " quantity of state
Now k=3, represents the sequential value r of the 3rd class quantity of state " cooling system "3,nIt is as follows：
4) the 4th class quantity of state, represents the sequential value of " shunting switch " quantity of state
Now k=4, represents the sequential value r of the 4th class quantity of state " shunting switch "4,nIt is as follows：
First and second row：
Third and fourth row：
5th row：
5) the 5th class quantity of state, represents the sequential value of " non-ionizing energy loss " quantity of state
Now k=5, represents the sequential value r of the 5th class quantity of state " non-ionizing energy loss "5,nIt is as follows：
The above sequence is carried out classification processing, the quantity of state mapping discrete series value on TRIZ inventive principles domain is obtained
In formula,Be i-th j inventive principle that kth class quantity of state is reconstructed on TRIZ inventive principles domain mapping from Sequential value is dissipated, ij represents i-th j inventive principle in TRIZ inventive principle tables, nk,maxRepresent the parameter of kth class quantity of state Number, rk,n,ijRepresent sequences of the parameter n of kth class quantity of state in TRIZ inventive principles after i-th j inventive principle relationship maps Value.
3. Condition-based Maintenance of Substation Equipment guides the foundation of model
The mapping discrete series value of some inventive principle reconstructed on TRIZ inventive principles domain is intactly mapped to TRIZ hairs Bright principle, carries out guidance optimization, and its computational methods is as follows,
In formula, RijIt is all quantity of states and TRIZ inventive principles aijBetween perfectly correlated coefficient.
Quantity of state is calculated one by one using the analysis calculation formula (16) of correlation, perfectly correlated coefficient is less than 0.5 is set to 0, and others are set to 1, show that model of the transformer under the guidance of TRIZ inventive principles is,
ZD in formulaTriz,SRepresent guidance model matrix.
4. a pair transformer is guided
Transformer is guided, i.e., according to the particular state amount discrete series of transformer, using formula (16) and (17) calculated, obtain guiding result.Comprise the concrete steps that：
First, the parameters for gathering all kinds of quantity of states of Condition-based Maintenance of Substation Equipment to be guided are invented with above-mentioned TRIZ Each inventive principle in principle table whether related evaluating data, obtain its actual sequence in TRIZ inventive principles domain rk,n'；
Secondly, each invention original that each class quantity of state is reconstructed on TRIZ inventive principles domain is asked for according to actual sequence The actual mapping discrete series value of reason
Again, the actual mapping of each inventive principle reconstructed according to each class quantity of state on TRIZ inventive principles domain Discrete series valueAsk for each class quantity of state and b in transformer guidance modelijBetween perfectly correlated coefficient
Finally, R is worked asij' ＜ 0.5 then makes cij=0, work as Rij' >=0.5 makes cij=1, obtain transformer guidance result
Wherein, cij=1 represents after guidance in TRIZ inventive principle tables I-th j inventive principle can use, cij=0 represents that i-th j inventive principle is unavailable after guidance.
The example of result is guided the following is a transformer：
Table 2
It can show that transformer workable inventive principle in TRIZ models has from upper table：Segmentation, urgent action, have The continuity of effect effect, separation, precompensation, pre-operation, mobilism, Parameters variation, dimension change, periodically state change, work With, feedback.
Possibility solution to guidance optimization carries out inverse mapping, and the quantity of state that generation returns to transformer maintenance carries out guidance optimization point Analysis.For example, " mobilism ", " dimension change " are substituted into specific maintenance process,
(a) dimension changes：Motion or static object in the one-dimensional space are become into the motion or static in two-dimensional space Object, the object in two-dimensional space is become the object in three dimensions；The arrangement of object multilayer is replaced into monolayer alignment.
(b) mobilism：Make an object or its environment in each stage adjust automatically of operation, to reach the property of optimization Energy.
Because transformer is influenceed by operating mode in process of production, one of variable of its characteristic is time t, from electric company The repair based on condition of component effect analysis of development：Time is one of influence transformer important parameter, the state of different phase transformer Quantitative change law is different.Therefore the guidance result of " dimension change " is to increase variable in evaluation model；" mobilism " It is to make evaluation model in each stage adjust automatically to guide result.
Guidance direction can be improved from increase variable t and mobilism.With reference to power network oil-filled transformer (reactor) shape State evaluation rule, final power network oil-filled transformer (reactor) optimizing evaluation result is expressed as,
In formula, SkFor evaluation result, SiAnd WiFor the original score value of power network,For the graded of quantity of state.It is i.e. excellent Evaluation model increase after change considers that the score value that quantity of state is brought with the graded of time changes.

Claims (1)

1. a kind of Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ, it is characterised in that including
The step of setting up Condition-based Maintenance of Substation Equipment guidance model：
1.1 according to TRIZ inventive principle tables
Set TRIZ inventive principle matrixesWherein aijRepresent TRIZ inventive principle tables In i-th j inventive principle centrifugal pump, aij=1；
1.2 gather the parameters and above-mentioned TRIZ inventive principles table of all kinds of quantity of states of Condition-based Maintenance of Substation Equipment to be guided In the whether related history evaluation result of each inventive principle, obtain its experience value sequence in TRIZ inventive principles domain
<mrow> <msub> <mi>r</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>n</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>11</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>12</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>13</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>14</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>15</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>21</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>22</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>23</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>24</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>25</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> </mtr> <mtr> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> </mtr> <mtr> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>81</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>82</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>83</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>84</mn> </msub> </mtd> <mtd> <msub> <mrow> <mo>(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msub> <mi>n</mi> <mi>max</mi> </msub> <mo>)</mo> </mrow> <mn>85</mn> </msub> </mtd> </mtr> </mtable> </mfenced> </mrow>
Wherein,
(n1,n2,...,nmax)ijRepresent i-th j inventive principle in parameters n and TRIZ the inventive principle table of such quantity of state Correlation, represent that the parameter is related to corresponding inventive principle as n=1, represented as n=0 the parameter and it is corresponding hair Bright principle is uncorrelated, represents that the parameter is related to corresponding inventive principle part as 0 ＜ n ＜ 1；
K represents quantity of state classification,
As k=1, body class quantity of state, including 32 parameters are represented：Short circuit current flow, short-circuit number of times, short-circuit impact adds up, and becomes Depressor overload, overexcitation, conservator potted component, body oil conservater oil level, permeability, oil leak, noise and vibration, surface corrosion, Respirator, runs oil temperature, pressure relief valve, Buchholz relay, winding D.C. resistance, winding dielectric dissipation factor, capacitance, iron Core insulation, winding frequency response test, short-circuit impedance, leakage current, winding insulation resistance, winding insulation absorptance or polarization refer to Number；Solution gas in oil loss factor, oil breakdown voltage, moisture, gas content of oil, insulation paper polymerization degree, infrared measurement of temperature, oil Body is analyzed, transformer neutral point DC current test；Experience value sequence r1,nIn, (n1,n2,...,n32) above-mentioned 32 ginsengs of correspondence Number；
As k=2, set tubing quantity of state, including 12 parameters are represented：External insulation retting-flax wastewater, external insulation climbs electrostrictive coefficient, insulator Filth, insulator destruction, insulator electric discharge, seepage, oil level indicates that insulaion resistance, dielectric loss, capacitance, oil dissolved gas divides Analysis, infrared measurement of temperature；Experience value sequence r2,nIn, (n1,n2,...,n12) above-mentioned 12 parameters of correspondence；
As k=3, cooling system class quantity of state, including 5 parameters are represented：Motor operation, cooling device control system, cooling Device radiation effect, permeability, oil leak；Experience value sequence r3,nIn, (n1,n2,...,n5) above-mentioned 5 parameters of correspondence；
As k=4, shunting switch class quantity of state, including 13 parameters are represented：Oil level, respirator, tap position, seepage, switching Number of times, with previous maintenance interval, on-line oil filter, transmission mechanism, stopping means failure, slide piece, control loop, action is special Property, oil is pressure-resistant；Experience value sequence r4,nIn, (n1,n2,...,n13) above-mentioned 13 parameters of correspondence；
As k=5, non-ionizing energy loss class quantity of state, including 6 parameters are represented：Thermometer, oil level indicating gage, pressure relief valve, Gas relay, a thermometer distant place with indicating uniformity on the spot, and a position of tapping switch distant place with indicating uniformity on the spot；Empirical value Sequence r5,nIn, (n1,n2,...,n6) above-mentioned 6 parameters of correspondence；
1.3 rule of thumb value sequence ask for each inventive principle that each class quantity of state is reconstructed on TRIZ inventive principles domain Map discrete series value
Wherein,It is the mapping centrifugal pump for i-th j inventive principle that kth class quantity of state is reconstructed on TRIZ inventive principles domain, nk,maxIt is the number of parameters of kth class quantity of state, rk,n,ijRepresent the i-th j in parameter n and TRIZ the inventive principle table of kth class quantity of state The sequential value of individual inventive principle correlation；
The mapping discrete series value of 1.4 each inventive principle reconstructed according to each class quantity of state on TRIZ inventive principles domainAsk for each class quantity of state and each TRIZ inventive principle aijBetween perfectly correlated coefficientWherein, RijIt is all quantity of states of transformer and TRIZ inventive principles aijBetween it is complete Coefficient correlation；
1.5 work as Rij＜ 0.5 then makes bij=0, work as Rij>=0.5 makes bij=1, build transformer guidance model
<mrow> <msub> <mi>ZD</mi> <mrow> <mi>T</mi> <mi>r</mi> <mi>i</mi> <mi>z</mi> <mo>,</mo> <mi>S</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>b</mi> <mn>11</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>12</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>13</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>14</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>15</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>b</mi> <mn>21</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>22</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>23</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>24</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>25</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> </mtr> <mtr> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> <mtd> <mn>..</mn> </mtd> </mtr> <mtr> <mtd> <msub> <mi>b</mi> <mn>81</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>82</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>83</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>84</mn> </msub> </mtd> <mtd> <msub> <mi>b</mi> <mn>85</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>;</mo> </mrow>
Wherein, bij=1 represents that i-th j inventive principle can use in TRIZ inventive principle tables, bij=0 represents i-th j inventive principle It is unavailable；
Also include, the step of being guided using transformer guidance model to transformer：
2.1 gather the parameters and above-mentioned TRIZ inventive principles table of all kinds of quantity of states of Condition-based Maintenance of Substation Equipment to be guided In the whether related evaluating data of each inventive principle, obtain its actual sequence r in TRIZ inventive principles domaink,n'；
2.2 ask for the reality for each inventive principle that each class quantity of state is reconstructed on TRIZ inventive principles domain according to actual sequence Border maps discrete series value
The discrete sequence of actual mapping of 2.3 each inventive principle reconstructed according to each class quantity of state on TRIZ inventive principles domain Train valueAsk for each class quantity of state and b in transformer guidance modelijBetween perfectly correlated coefficient
<mrow> <msup> <msub> <mi>R</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <mfrac> <mn>1</mn> <mn>5</mn> </mfrac> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>5</mn> </munderover> <mrow> <mo>(</mo> <msup> <msub> <mi>f</mi> <msub> <mi>S</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>i</mi> <mi>j</mi> </mrow> </msub> </msub> <mo>&amp;prime;</mo> </msup> <mo>)</mo> </mrow> <msub> <mi>b</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>;</mo> </mrow>
2.4 work as Rij' ＜ 0.5 then makes cij=0, work as Rij' >=0.5 makes cij=1, obtain transformer guidance result
Wherein, cijI-th j in TRIZ inventive principle tables after=1 expression guidance Individual inventive principle can use, cij=0 represents that i-th j inventive principle is unavailable after guidance.
CN201410808285.1A 2014-12-22 2014-12-22 Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ Active CN104573931B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410808285.1A CN104573931B (en) 2014-12-22 2014-12-22 Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410808285.1A CN104573931B (en) 2014-12-22 2014-12-22 Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ

Publications (2)

Publication Number Publication Date
CN104573931A CN104573931A (en) 2015-04-29
CN104573931B true CN104573931B (en) 2017-08-25

Family

ID=53089940

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410808285.1A Active CN104573931B (en) 2014-12-22 2014-12-22 Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ

Country Status (1)

Country Link
CN (1) CN104573931B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110426577A (en) * 2019-07-30 2019-11-08 西安西拓电气股份有限公司 Transformer equipment state evaluating method, server and system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7805455B2 (en) * 2005-11-14 2010-09-28 Invention Machine Corporation System and method for problem analysis
US7958078B2 (en) * 2007-05-21 2011-06-07 National Taiwan University Of Science And Technology Clustering triz analysis method
CN103049621A (en) * 2013-01-14 2013-04-17 合肥工业大学 Design method of detachable connecting structure based on TRIZ (Theory of Intensive Problem solving)
CN103400192A (en) * 2013-08-08 2013-11-20 重庆市科学技术研究院 Assessment method of technical economic life based on TRIZ theory

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7805455B2 (en) * 2005-11-14 2010-09-28 Invention Machine Corporation System and method for problem analysis
US7958078B2 (en) * 2007-05-21 2011-06-07 National Taiwan University Of Science And Technology Clustering triz analysis method
CN103049621A (en) * 2013-01-14 2013-04-17 合肥工业大学 Design method of detachable connecting structure based on TRIZ (Theory of Intensive Problem solving)
CN103400192A (en) * 2013-08-08 2013-11-20 重庆市科学技术研究院 Assessment method of technical economic life based on TRIZ theory

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
OPGW光缆线路状态监测的TRIZ制导;戴炜，林双庆，黄宏光;《通信与信息技术》;20141125;全文 *

Also Published As

Publication number Publication date
CN104573931A (en) 2015-04-29

Similar Documents

Publication Publication Date Title
CN104914327A (en) Transformer fault maintenance prediction method based on real-time monitoring information
CN103001235B (en) Method for evaluating risks of MOV (metal oxide varistor) of series capacitive compensator
CN106908674A (en) A kind of Transformer condition evaluation based on the prediction of multimode amount
CN106203863A (en) A kind of power transformer full dose state evaluation model of comprehensive multi-source information
CN106651189B (en) Transformer state evaluation method based on multilayer composite rule
CN103605881A (en) Fault tree and analytic hierarchy process based evaluation method of state of power transformer
CN105550435A (en) Winding magnetic flux leakage and electrodynamic force calculation method based on transformer segmented model
CN103699668B (en) Electric distribution network electrical equipment assembled state appraisal procedure based on data section uniformity
CN103135014A (en) Transformer fault diagnosis method based on case-based reasoning
CN102570392A (en) Method for identifying exciting inrush current of transformer based on improved probability neural network
CN103698627B (en) The Diagnosis Method of Transformer Faults that glowworm swarm algorithm optimizes is obscured based on ash
CN104331544A (en) Three-phase three-column transformer modeling method based on EIC principle
CN106257462A (en) A kind of method of inside transformer short trouble Nonlinear Simulation
CN105808941A (en) Fuzzy comprehensive diagnosis method for high-voltage shunt reactor based on dissolved gas in oil
CN109344559A (en) A kind of transformer temperature rise of hot spot prediction technique comparing optical fiber temperature-measurement
CN104573931B (en) Condition-based Maintenance of Substation Equipment method of guidance based on TRIZ
CN105468911A (en) Transformer state evaluation method based on analytic hierarchy process and rough set
CN109460609B (en) Method for calculating turn-to-turn short circuit reverse circulation of transformer winding
CN110807243A (en) Transformer winding equivalent circuit model building method considering frequency-dependent parameters
CN103761577A (en) Capacitive type device auxiliary decision making system based on risk assessment and condition evaluation
CN107122506A (en) A kind of top-oil temperature thermal model for considering transformer oil Nonlinear Time constant
CN104268393B (en) A kind of primary cut-out Degrees of Importance of Components appraisal procedure
CN103728517A (en) Correcting algorithm for transformer state assessment by considering poor working conditions
Bigdeli et al. Identification of transient model parameters of transformer using genetic algorithm
CN103258124A (en) Power frequency magnetic field assessment method for electromagnetic equipment of high voltage transformer substation

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant