CN104851054A - Equipment maintenance method in 10kV voltage substation operation - Google Patents
Equipment maintenance method in 10kV voltage substation operation Download PDFInfo
- Publication number
- CN104851054A CN104851054A CN201510251987.9A CN201510251987A CN104851054A CN 104851054 A CN104851054 A CN 104851054A CN 201510251987 A CN201510251987 A CN 201510251987A CN 104851054 A CN104851054 A CN 104851054A
- Authority
- CN
- China
- Prior art keywords
- equipment
- fault type
- key word
- safeguarded
- fault
- 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.)
- Pending
Links
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an equipment maintenance method in 10kV voltage substation operation. The method comprises steps: attribute parameters, operation environment parameters and state parameters of the equipment are firstly generated into a configuration file with a predetermined text format; technical means such as text clustering and text classification are then used for carrying out numerical value and text data source-based association, clustering and classification on massive equipment information, that is, test clustering processing of word segmentation, stop word screening, word bag model building, feature word selection and feature vector model building are carried out on the configuration file, and automatic judgment and classification are carried out on similarities between equipment fault information; according to a fault type cleared in advance and corresponding key words, automatic matching is completed, and the equipment fault type can be accurately obtained. An equipment state development and change law is obtained, the equipment is maintained according to the law, the equipment fault detection efficiency and the maintenance efficiency are improved, the cost is reduced, and accuracy is improved.
Description
Technical field
The present invention relates to power domain, a kind of plant maintenance method specifically in 10kV voltage power transformation operation.
Background technology
Along with socioeconomic development, power load obtains to be increased rapidly, and the quantity of transformer station is also in cumulative year after year, and therefore, the running quality of power transformation station equipment more and more needs to obtain enough attention.Substation equipment is carried out effectively safeguarding to be the important channel of improving substation operation quality.
Equipment failure state detects the important component part that maintenance is equipment control, the how effectively generation of opertaing device fault, reduce the generation of similar fault to greatest extent or eliminate fault in time, fundamentally improve the operation and maintenance level of equipment, for substation safety operation service, become one of significant task of current transformer substation safe and stable operation.
At present, in the detection and maintenance of substation equipment fault, online data statistics and the centralized management of facility information has been achieved by the informatization of transformer station, and information is incorporated facility information system in real time, for lectotype selection, equipment technological transformation, the formulation of turnaround plan and the process of equipment failure provide corresponding foundation, control equipment operation risk to a certain extent.But along with the increase of online implementing working time, facility information in system gets more and more, especially for these information, system has only been carried out simple classification and has been piled up, information between equipment is all relatively independent, and the information of same category of device does not have relevance, wants the relevant device information detecting certain kind equipment or certain transformer station, usually all need to carry out complicated operation and by the help of other professional statistical tool, cause that the seek rate of facility information is slow, difficulty is large, efficiency is low.
Summary of the invention
The object of the present invention is to provide a kind of plant maintenance method in high efficiency 10kV voltage power transformation operation, to solve the problems of the technologies described above.
For achieving the above object, the invention provides following technical scheme:
Plant maintenance method in 10kV voltage power transformation operation, described equipment comprises main equipment and primary equipment, comprises the following steps:
(1) Chinese matching mode is utilized to search the information of primary equipment corresponding to main equipment, again according to the computation rule of topology, the connection period information of all primary equipments is searched for by plant stand, connecting the connection period mating main equipment in period information, thus determine the primary equipment that main equipment connects, then by recursive fashion, find out the armamentarium in interval, and obtain the property parameters of armamentarium, running environment parameter and state parameter; The property parameters of described equipment comprises producer, model, electric pressure and the operation time limit; The running environment parameter of described equipment comprises infield, humiture, meteorology and load; The state parameter of described equipment comprises equipment whether fault or test;
(2) according to the property parameters of equipment, running environment parameter and state parameter, the configuration file with pre-determined text form is generated;
(3) text word segmentation processing is carried out to configuration file;
(4) according to the screening key word preset, stop words screening is carried out to configuration file, obtain the configuration file after screening;
(5) word bag model is set up to the configuration file after screening;
(6) according to word bag model selected characteristic word, proper vector model is set up;
(7) according to the key word preset, each proper vector model is mated, if having corresponding key word in proper vector model, then this equipment is matched fault type corresponding to key word; Wherein, often kind of fault type and one or more key word have default corresponding relation;
(8) according to the fault type of the equipment obtained, equipment is safeguarded.
As the further scheme of the present invention: according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to the operation time limit and the corresponding fault type of equipment, the failure rate of equipment, with running the growth of the time limit and the rule that changes, obtains the fault growth pattern of equipment; According to the actual motion time limit of equipment and the fault growth pattern of equipment, equipment is safeguarded.
As the further scheme of the present invention: according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to the fault type of the producer of equipment, electric pressure and correspondence, obtain the corresponding relation of the failure rate of the equipment of each electric pressure that different manufacturers generates; According to producer, the electric pressure of equipment reality, equipment is safeguarded.
As the further scheme of the present invention: according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to load condition and the corresponding fault type of equipment, obtain the fault type of equipment, the incidence relation between failure rate and its load; According to the actual load of equipment, equipment is safeguarded.
As the further scheme of the present invention: according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to the infield of equipment, humiture, meteorology and corresponding fault type, obtain the failure rate of equipment and the season in equipment operating environment, regional incidence relation; According to the actual motion environment of equipment, equipment is safeguarded.
As the further scheme of the present invention: according to the key word preset, each proper vector model is mated, if have corresponding key word in proper vector model, the step then this equipment being matched fault type corresponding to key word comprises: obtain the fault type table of comparisons preset, the wherein pre-recorded corresponding relation having often kind of fault type and one or more key word in the fault type table of comparisons; According to having the corresponding keyword search fault type table of comparisons in proper vector model, obtain the fault type corresponding with key word.
Compared with prior art, the invention has the beneficial effects as follows:
The present invention is first by generating the configuration file with pre-determined text form by the property parameters of equipment, running environment parameter and state parameter, then the technological means such as text cluster, text classification is utilized, carry out based on the associating of numerical value and lteral data source, Cluster Classification to the facility information of magnanimity, namely configuration file is carried out to participle, stop words screening, sets up word bag model, selected characteristic word and set up the text cluster process of proper vector model, carry out automatic decision and classification according to the similarity between the failure message of equipment; Again according to the type of clear failure and corresponding key word in advance, complete Auto-matching, accurately obtain the fault type of equipment, namely the rule of equipment state development and change is obtained, thus the maintenance of equipment is carried out according to rule, the fault detect of equipment and the efficiency of maintenance are improved, and cost reduces, and accuracy is also improved simultaneously.
The present invention utilizes the facility information of data mining technology to the whole network to excavate, facility information is associated with fault type, relation between the various kinds of equipment that can obtain different manufacturers simply, rapidly state situation of change in use and equipment manufacturer, weather, geographical environment, working load, be convenient to lectotype selection, equipment technological transformation and turnaround plan formulation and provide foundation for plant maintenance, thus more effective opertaing device risk, improve the equipment general level of the health.
Embodiment
Below in conjunction with the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
In the embodiment of the present invention, the plant maintenance method in 10kV voltage power transformation operation, described equipment comprises main equipment and primary equipment, comprises the following steps:
(1) Chinese matching mode is utilized to search the information of primary equipment corresponding to main equipment, again according to the computation rule of topology, the connection period information of all primary equipments is searched for by plant stand, connecting the connection period mating main equipment in period information, thus determine the primary equipment that main equipment connects, then by recursive fashion, find out the armamentarium in interval, and obtain the property parameters of armamentarium, running environment parameter and state parameter; The property parameters of equipment comprises producer, model, electric pressure and the operation time limit; The running environment parameter of equipment comprises infield, humiture, meteorology and load; The state parameter of equipment comprises equipment whether fault or test;
(2) according to the property parameters of equipment, running environment parameter and state parameter, the configuration file with pre-determined text form is generated;
(3) text word segmentation processing is carried out to configuration file;
(4) according to the screening key word preset, stop words screening is carried out to configuration file;
(5) word bag model is set up to the configuration file after screening;
(6) according to word bag model selected characteristic word, proper vector model is set up;
(7) according to the key word preset, each proper vector model is mated, if having corresponding key word in proper vector model, then this equipment is matched fault type corresponding to key word; Wherein, often kind of fault type and one or more key word have default corresponding relation;
(8) according to the fault type of the equipment obtained, equipment is safeguarded.
In step (2), the equipment failure data such as the property parameters of the equipment obtained in above-mentioned steps (1), running environment parameter and state parameter are stored in a text format, generate the configuration file with pre-determined text form, predetermined text formatting is such as XML etc.
In step (3) in (7), respectively to comprising the property parameters of equipment, the configuration file of the information such as running environment parameter and state parameter carries out text cluster and text classification process.Text cluster, namely carries out automatic decision and classification according to the similarity between failure message.Text classification, i.e. clear failure type and corresponding key word in advance, and Auto-matching.The method of text cluster focuses on realizing general Text Pretreatment, and Text Pretreatment comprises successively: participle, remove stop words, set up word bag model, Feature Words selects and sets up document handling.File classification method mainly with reference to relevant electric network fault information bank, obtains the corresponding relation of often kind of fault type and one or more key word in advance.Then according to the identification that can complete the coupling of key word equipment failure type.
Step (7) comprises the following steps: obtain the fault type table of comparisons preset, the wherein pre-recorded corresponding relation having often kind of fault type and one or more key word in the fault type table of comparisons; According to having the corresponding keyword search fault type table of comparisons in proper vector model, obtain the fault type corresponding with key word.
In step (8), according to the fault type determined, can safeguard corresponding equipment.Corresponding to property parameters, the failure message such as running environment parameter and state parameter of equipment, the step in step (8), equipment safeguarded can comprise following one or more:
1, according to the operation time limit of equipment and the fault type of correspondence, the failure rate of equipment is with running the growth of the time limit and the rule that changes, the fault growth pattern of acquisition equipment, according to the actual motion time limit of equipment and the fault growth pattern of equipment, safeguards equipment;
2, according to the fault type of the producer of equipment, electric pressure and correspondence, obtain the corresponding relation of the failure rate of the equipment of each electric pressure that different manufacturers generates, according to producer, the electric pressure of equipment reality, equipment is safeguarded;
3, according to the load condition of equipment and the fault type of correspondence, obtain the fault type of equipment, the incidence relation between failure rate and its load, according to the actual load of equipment, equipment is safeguarded;
4, according to the infield of equipment, humiture, meteorology and corresponding fault type, obtain the failure rate of equipment and the season in equipment operating environment, regional incidence relation, according to the actual motion environment of equipment, equipment is safeguarded.
Wherein, in the step of the fault growth pattern of the equipment of acquisition, by the analysis to equipment failure growth pattern, draw the rule that equipment failure rate changes along with the growth of the time limit that puts into operation, to being disclosed in the development model of equipment failure in equipment O&M life cycle.
In the acquisition fault of equipment and the step associated of producer, electric pressure, the equipment failure rate difference of research different manufacturers.To device fabrication manufacturers such as the transformers of each electric pressure, failure rate rank register is divided into two: front 50% is leading manufacturer, rear 50% for falling behind manufacturer, the difference of both comparative study equipment failure speed of development, considers that equipment runs the impact of the time limit in analytic process simultaneously.Similar, by the fault growth pattern of contrast import, joint and home equipment, evaluation can be made to the quality of three kind equipments.
In the step obtaining the fault of equipment and the incidence relation of load, be divided into heavy load and light load equipment by transformer load situation, the incidence relation between the failure rate of analytical equipment and its load; Research heavy duty and the failure condition of underloading transformer, contrast fault type and the failure rate of two groups of equipment respectively, in the hope of the incidence relation of equipment load and fault type, failure rate.Meanwhile, can the ratio of region-by-region statistics heavy load transformer, for equipment O&M provides reference frame.
And the weight how defining transformer load is the first step of this work.Below for transformer, below meeting, two conditions are judged to be heavily loaded transformer for the moment: the peak load of 1. nearly a year (or nearly month) meets or exceeds 100%; The average load of 2. nearly 1 year (or nearly one month) meets or exceeds 80%, otherwise is underloading transformer, and concrete actual basis for estimation can define after analyzing again.
Finally, in the step obtaining equipment failure and season, regional incidence relation, incidence relation may be there is in some equipment failure such as respirator variable color, sleeve of main transformer defective insulation with ambient humidity etc., and environmental change is usually reflected on season, region, the equipment failure rate situation studying different month, different regions therefore should be considered.
The present invention is first by generating the configuration file with pre-determined text form by the property parameters of equipment, running environment parameter and state parameter, then the technological means such as text cluster, text classification is utilized, carry out based on the associating of numerical value and lteral data source, Cluster Classification to the facility information of magnanimity, namely configuration file is carried out to participle, stop words screening, sets up word bag model, selected characteristic word and set up the text cluster process of proper vector model, carry out automatic decision and classification according to the similarity between the failure message of equipment; Again according to the type of clear failure and corresponding key word in advance, complete Auto-matching, accurately obtain the fault type of equipment, namely the rule of equipment state development and change is obtained, thus the maintenance of equipment is carried out according to rule, the fault detect of equipment and the efficiency of maintenance are improved, and cost reduces, and accuracy is also improved simultaneously.
The present invention utilizes the facility information of data mining technology to the whole network to excavate, facility information is associated with fault type, relation between the various kinds of equipment that can obtain different manufacturers simply, rapidly state situation of change in use and equipment manufacturer, weather, geographical environment, working load, be convenient to lectotype selection, equipment technological transformation and turnaround plan formulation and provide foundation for plant maintenance, thus more effective opertaing device risk, improve the equipment general level of the health.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned one exemplary embodiment, and when not deviating from spirit of the present invention or essential characteristic, the present invention can be realized in other specific forms.Therefore, no matter from which point, all should embodiment be regarded as exemplary, and be nonrestrictive, scope of the present invention is limited by claims instead of above-mentioned explanation, and all changes be therefore intended in the implication of the equivalency by dropping on claim and scope are included in the present invention.
In addition, be to be understood that, although this instructions is described according to embodiment, but not each embodiment only comprises an independently technical scheme, this narrating mode of instructions is only for clarity sake, those skilled in the art should by instructions integrally, and the technical scheme in each embodiment also through appropriately combined, can form other embodiments that it will be appreciated by those skilled in the art that.
Claims (6)
- Plant maintenance method in 1.10kV voltage power transformation operation, described equipment comprises main equipment and primary equipment, it is characterized in that, comprises the following steps:(1) Chinese matching mode is utilized to search the information of primary equipment corresponding to main equipment, again according to the computation rule of topology, the connection period information of all primary equipments is searched for by plant stand, connecting the connection period mating main equipment in period information, thus determine the primary equipment that main equipment connects, then by recursive fashion, find out the armamentarium in interval, and obtain the property parameters of armamentarium, running environment parameter and state parameter; The property parameters of described equipment comprises producer, model, electric pressure and the operation time limit; The running environment parameter of described equipment comprises infield, humiture, meteorology and load; The state parameter of described equipment comprises equipment whether fault or test;(2) according to the property parameters of equipment, running environment parameter and state parameter, the configuration file with pre-determined text form is generated;(3) text word segmentation processing is carried out to configuration file;(4) according to the screening key word preset, stop words screening is carried out to configuration file, obtain the configuration file after screening;(5) word bag model is set up to the configuration file after screening;(6) according to word bag model selected characteristic word, proper vector model is set up;(7) according to the key word preset, each proper vector model is mated, if having corresponding key word in proper vector model, then this equipment is matched fault type corresponding to key word; Wherein, often kind of fault type and one or more key word have default corresponding relation;(8) according to the fault type of the equipment obtained, equipment is safeguarded.
- 2. the plant maintenance method in 10kV voltage power transformation operation according to claim 1, it is characterized in that, according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to the operation time limit and the corresponding fault type of equipment, the failure rate of equipment, with running the growth of the time limit and the rule that changes, obtains the fault growth pattern of equipment; According to the actual motion time limit of equipment and the fault growth pattern of equipment, equipment is safeguarded.
- 3. the plant maintenance method in 10kV voltage power transformation operation according to claim 1, it is characterized in that, according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to the fault type of the producer of equipment, electric pressure and correspondence, obtain the corresponding relation of the failure rate of the equipment of each electric pressure that different manufacturers generates; According to producer, the electric pressure of equipment reality, equipment is safeguarded.
- 4. the plant maintenance method in 10kV voltage power transformation operation according to claim 1, it is characterized in that, according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to load condition and the corresponding fault type of equipment, obtain the fault type of equipment, the incidence relation between failure rate and its load; According to the actual load of equipment, equipment is safeguarded.
- 5. the plant maintenance method in 10kV voltage power transformation operation according to claim 1, it is characterized in that, according to the fault type of the equipment obtained, the step that equipment is safeguarded is comprised: according to the infield of equipment, humiture, meteorology and corresponding fault type, obtain the failure rate of equipment and the season in equipment operating environment, regional incidence relation; According to the actual motion environment of equipment, equipment is safeguarded.
- 6. the plant maintenance method in 10kV voltage power transformation operation according to claim 1, it is characterized in that, according to the key word preset, each proper vector model is mated, if have corresponding key word in proper vector model, the step then this equipment being matched fault type corresponding to key word comprises: obtain the fault type table of comparisons preset, the wherein pre-recorded corresponding relation having often kind of fault type and one or more key word in the fault type table of comparisons; According to having the corresponding keyword search fault type table of comparisons in proper vector model, obtain the fault type corresponding with key word.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510251987.9A CN104851054A (en) | 2015-05-18 | 2015-05-18 | Equipment maintenance method in 10kV voltage substation operation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510251987.9A CN104851054A (en) | 2015-05-18 | 2015-05-18 | Equipment maintenance method in 10kV voltage substation operation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104851054A true CN104851054A (en) | 2015-08-19 |
Family
ID=53850683
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510251987.9A Pending CN104851054A (en) | 2015-05-18 | 2015-05-18 | Equipment maintenance method in 10kV voltage substation operation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104851054A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105894747A (en) * | 2016-03-25 | 2016-08-24 | 国家电网公司 | Monitoring-expert-knowledge-base-based warning signal processing decision-making suggesting method |
| CN106651645A (en) * | 2016-11-22 | 2017-05-10 | 云南电网有限责任公司电力科学研究院 | Fault data management method for direct-current transmission system |
| CN107808202A (en) * | 2017-10-27 | 2018-03-16 | 国家电网公司 | Electrical equipment fault judges guidance method and terminal device |
| CN108700872A (en) * | 2016-02-29 | 2018-10-23 | 三菱电机株式会社 | Machine sort device |
| CN109684447A (en) * | 2018-12-13 | 2019-04-26 | 贵州电网有限责任公司 | A kind of dispatching of power netwoks running log fault information analysis method based on text mining |
| CN110277163A (en) * | 2019-06-12 | 2019-09-24 | 合肥中科奔巴科技有限公司 | State recognition and monitoring early-warning system on view-based access control model old man and patient bed |
| CN110322076A (en) * | 2019-07-10 | 2019-10-11 | 云南电网有限责任公司电力科学研究院 | A kind of medium-voltage line fault treatment lectotype selection standard base construction method |
| CN113627629A (en) * | 2021-08-18 | 2021-11-09 | 广东电网有限责任公司 | Fault analysis method and device of power supply equipment |
| WO2022150012A1 (en) * | 2021-01-06 | 2022-07-14 | Hitachi, Ltd. | Method and system for fault detection and diagnostic for a building management system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103837770A (en) * | 2014-02-26 | 2014-06-04 | 广东电网公司电力科学研究院 | Electrical equipment defect detection and maintenance method |
| CN104537143A (en) * | 2014-11-26 | 2015-04-22 | 国家电网公司 | Primary equipment maintaining method for power SCADA system |
-
2015
- 2015-05-18 CN CN201510251987.9A patent/CN104851054A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103837770A (en) * | 2014-02-26 | 2014-06-04 | 广东电网公司电力科学研究院 | Electrical equipment defect detection and maintenance method |
| CN104537143A (en) * | 2014-11-26 | 2015-04-22 | 国家电网公司 | Primary equipment maintaining method for power SCADA system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108700872A (en) * | 2016-02-29 | 2018-10-23 | 三菱电机株式会社 | Machine sort device |
| CN105894747A (en) * | 2016-03-25 | 2016-08-24 | 国家电网公司 | Monitoring-expert-knowledge-base-based warning signal processing decision-making suggesting method |
| CN106651645A (en) * | 2016-11-22 | 2017-05-10 | 云南电网有限责任公司电力科学研究院 | Fault data management method for direct-current transmission system |
| CN107808202A (en) * | 2017-10-27 | 2018-03-16 | 国家电网公司 | Electrical equipment fault judges guidance method and terminal device |
| CN109684447A (en) * | 2018-12-13 | 2019-04-26 | 贵州电网有限责任公司 | A kind of dispatching of power netwoks running log fault information analysis method based on text mining |
| CN110277163A (en) * | 2019-06-12 | 2019-09-24 | 合肥中科奔巴科技有限公司 | State recognition and monitoring early-warning system on view-based access control model old man and patient bed |
| CN110322076A (en) * | 2019-07-10 | 2019-10-11 | 云南电网有限责任公司电力科学研究院 | A kind of medium-voltage line fault treatment lectotype selection standard base construction method |
| WO2022150012A1 (en) * | 2021-01-06 | 2022-07-14 | Hitachi, Ltd. | Method and system for fault detection and diagnostic for a building management system |
| CN113627629A (en) * | 2021-08-18 | 2021-11-09 | 广东电网有限责任公司 | Fault analysis method and device of power supply equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104851054A (en) | Equipment maintenance method in 10kV voltage substation operation | |
| CN103837770A (en) | Electrical equipment defect detection and maintenance method | |
| Zhu et al. | Time series shapelet classification based online short-term voltage stability assessment | |
| CN104951997B (en) | Various dimensions artwork mass analysis method towards power distribution network | |
| CN111340063B (en) | Data anomaly detection method for coal mill | |
| CN110378809A (en) | A kind of intelligent check method of supervisory control of substation information table information data | |
| CN107038167A (en) | Big data excavating analysis system and its analysis method based on model evaluation | |
| CN105303469A (en) | Method and system for line loss abnormal reason data mining and analysis | |
| CN114048870A (en) | Power system abnormity monitoring method based on log characteristic intelligent mining | |
| US20190056436A1 (en) | Similarity detection of abnormal waveforms using pmu measurement | |
| CN105044497A (en) | Method for intelligently analyzing fault of traction converter | |
| CN103268362A (en) | Auxiliary design method of virtual terminals on basis of general template and key character matching | |
| CN103544652A (en) | Power grid industry classification load automatic statistical method and system | |
| CN108448721A (en) | The method of electric system main station monitoring signal and standard signal Auto-matching | |
| CN113051755A (en) | Method and system for judging operation reliability of power distribution network capable of dividing regions | |
| CN108490282B (en) | Method and system for presetting alarm test data of intelligent substation | |
| Guo et al. | Fault diagnosis for power system transmission line based on PCA and SVMs | |
| CN117056688A (en) | New material production data management system and method based on data analysis | |
| CN107944659B (en) | Method and device for automatically generating plant station monitoring system report | |
| CN105590027A (en) | Identification method for photovoltaic power abnormal data | |
| CN112396359A (en) | Water and soil loss region supervision method and device, mobile terminal and storage medium | |
| CN110826735B (en) | Electric SCADA intelligent multidimensional query and overhaul method | |
| CN110968703B (en) | Method and system for constructing abnormal metering point knowledge base based on LSTM end-to-end extraction algorithm | |
| Gao et al. | A voltage phasor based fault-classification method for phasor measurement unit only state estimator output | |
| CN110851577A (en) | Knowledge graph expansion method and device in electric power field |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150819 |
|
| RJ01 | Rejection of invention patent application after publication |