CN103901072B - Method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis - Google Patents
Method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis Download PDFInfo
- Publication number
- CN103901072B CN103901072B CN201410161021.1A CN201410161021A CN103901072B CN 103901072 B CN103901072 B CN 103901072B CN 201410161021 A CN201410161021 A CN 201410161021A CN 103901072 B CN103901072 B CN 103901072B
- Authority
- CN
- China
- Prior art keywords
- temperature
- collection
- illustrative plates
- equipment
- defect
- 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.)
- Expired - Fee Related
Links
Landscapes
- Radiation Pyrometers (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The invention discloses a method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis. The method comprises the following steps: establishing a standard spectrum library and a typical abnormal infrared spectrum library; acquiring an infrared chart of equipment on site and identifying and matching standing book information of the equipment; calculating related temperature indexes of the spectrum, and automatically extracting the most similar case spectrum; fully contrasting the standard spectrum, the typical abnormal spectrum and the most similar case spectrum, and analyzing and judging whether the equipment is overheated; judging and ranking the equipment state and defect degree, analyzing the risk and giving processing decision suggestions; and transmitting the state data and decision suggestions to a production management system. According to the method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis, centralized management and information sharing of the spectrums are conveniently realized, the accuracy and reliability of spectrum analysis and diagnosis are improved, ad the method provides decision suggestions for field defect processing, is in interactive cooperation with the production management system and has a positive effect of thoroughly promoting equipment state maintenance.
Description
Technical field
The invention belongs to electrical equipment live detection diagnostic field, be specifically related to red atlas analysis diagnosis outside a kind of utilization and run
Whether middle electrical equipment there is the method for overheating defect.
Background technology
Electrical equipment usually owing to occurring overheating defect to damage, results even in the most serious power grid accident sometimes,
Therefore, the most as early as possible, timely discovering device overheating defect, the equipment that ensures is healthy and safe operation of electric network, becomes electric power enterprise relatively
For the problem paid close attention to.Infrared Thermography Technology can obtain equipment surface and internal temperature information quickly, in real time, and is not required to directly contact
Operating charging equipment, it is thus possible to analyzing and diagnosing goes out most apparatus overheat defect easily and accurately, in actual field
In can play a significant role.But, owing to the data volume of electrical equipment infrared thermogram is the biggest, lack the most again
Analyzing and diagnosing accuracy is high, highly reliable, the centralized management means of systemic-function comparatively perfect and method, largely restricts
Infrared Thermography Technology application in power generation and development.
Summary of the invention
The present invention is for avoiding weak point present in above-mentioned prior art, it is provided that one utilizes infared spectrum analysis to examine
The method of disconnected apparatus overheat defect, to realize centralized management and the information sharing of infared spectrum, improves the standard of atlas analysis diagnosis
Exactness, reliability, provide decision recommendation for defect in-situ processing.
The present invention solves that technical problem is by the following technical solutions.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect, is characterized in,
Step 1: specification spectrum data form, by equipment by platform or by Criterion spectrum library and typical case are abnormal the reddest respectively mutually
Outer spectrum library；
Step 2: use Portable Multifunctional Temperature Measurer device or online infrared measurement of temperature instrument, the infra-red heat of collection in worksite equipment under test
Figure, and the facility information of equipment under test is obtained according to infrared chart；
Step 3: the facility information of equipment under test is mated with the account information in production management system, positions tested
Equipment
Step 4: judge the suspicious hot spot of equipment under test, and judge the pyrogenicity type of equipment under test pyrogenicity；
Step 5: obtain temperature parameter and the in-site measurement personnel of equipment under test in infrared chart, measure time, measuring instrument
Device and ambient parameter information；
Step 6: utilize temperature parameter and the ambient parameter information of the infrared chart of equipment under test, calculates the red of equipment under test
The associated temperature index of outer thermal map；Described associated temperature index includes hot(test)-spot temperature, the temperature difference, relative temperature difference and temperature rise；
Step 7: according to the associated temperature index calculated in step 6, automatically search for extraction in all history collection of illustrative plates
Go out most like case collection of illustrative plates；
Step 8: the associated temperature index that the pyrogenicity type of equipment under test obtained according to step 4 and step 6 obtain, than
On the basis of standard diagram, the abnormal infared spectrum of typical case and most like case collection of illustrative plates, whether comprehensive analyzing and diagnosing equipment under test
There is overheating defect；
Step 9: according to the analyzing and diagnosing result of step 8, equipment under test state and defect level being judged deciding grade and level, analysis can
The risk that can cause also provides corresponding in-situ processing decision recommendation；
Step 10: by equipment under test status information (i.e. the equipment under test state of step 9, including equipment heating position, send out
Hot degree) and step 9 in process decision recommendation be transferred to production management system, trigger defect management flow startup and evaluate shape
State automatically updates.
The feature of the method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention lies also in:
In described step 1, described standard diagram storehouse comprises the normal infared spectrum storehouse of all equipment under tests and visible
Light spectrum library two parts；Described normal infared spectrum storehouse is for reference to comparison analysis, and described visible ray spectrum library is retouched for high definition
Paint display device heat generating spot；
The abnormal infared spectrum storehouse of described typical case includes that the representativeness of each common heat generating components of all equipment under tests is different
Often infared spectrum, described abnormal infared spectrum is also accompanied with defect situation description, Causes Analysis and in-situ processing situation etc.
Information.
In described step 2, described Portable Multifunctional Temperature Measurer device utilizes USB standard interface that the collection of illustrative plates collected is stored meter
Calculation machine also uploads onto the server；Described online infrared radiation thermometer utensil has real-time communication function, automatically will be gathered by RS485
To collection of illustrative plates upload onto the server.
In described step 2, according to infrared chart obtain equipment under test facility information include device type, electric pressure,
Unit type, equipment manufacturer and device name, to realize the name automatically of infared spectrum, storage；Use Portable Multifunctional Temperature Measurer device
Time, manual identification equipment under test account information, the collection of illustrative plates of online thermometric collection identifies by the way of mark scan point automatically
Equipment and account information thereof.
In described step 5, the temperature parameter of equipment under test is automatically to extract from collection of illustrative plates；Use Portable Multifunctional Temperature Measurer device
Time, in-site measurement personnel, measurement time, measuring instrument and ambient parameter information backfill manually；Use online red
Outer temperature measuring device, in-site measurement personnel, measurement time, measuring instrument and ambient parameter information are automatically to obtain；Described environment
Parameter refers to atmospheric temperature, relative humidity, wind-force, radiance, measurement distance and working voltage and load current.
Most like case collection of illustrative plates in described step 7, refers to have identical pyrogenicity type, identical voltage etc. with this collection of illustrative plates
Level, identical device type with in the collection of illustrative plates of identical heat generating components, for by hot(test)-spot temperature, the temperature difference, relative temperature difference and temperature rise institute shape
The temperature index characteristic vector become, the collection of illustrative plates that similarity coefficient is higher, deviation ratio is minimum.
In step 8, described analysis and diagnosis method includes: surface temperature determining method, relative temperature difference determining method, characteristics of image
Determining method, similar multilevel iudge method and analysis file determining method.
In step 10, after triggering equipment deficiency flow startup and evaluation state automatically update, collection of illustrative plates will be to defect stream
Journey and record are tracked, and defect state, Causes Analysis and in-situ processing situation will be backfilling into attaching of corresponding collection of illustrative plates
Going in information, analyzing for later collection of illustrative plates comparison provides reference.
Described equipment under test includes transformator, chopper, disconnecting switch, current transformer, voltage transformer, reactance
Device, power capacitor, spark gap, insulator, bus, combined electrical apparatus, sleeve pipe, wall bushing, wire, wire clamp, cable termination and
Secondary terminals case.
Compared with the prior art, the present invention has the beneficial effect that:
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention, Criterion spectrum library and typical case are different
Often infared spectrum storehouse；Collection in worksite equipment infrared chart and identify, matching unit account information；Calculate the temperature index of collection of illustrative plates
Value, automatically extracts most like case collection of illustrative plates；With standard diagram, the abnormal collection of illustrative plates of typical case and the most like abundant comparison of case collection of illustrative plates, adopt
Diagnostic device is comprehensively analyzed the most overheated by multiple method；Equipment state and defect level are judged deciding grade and level, analyzes risk and give
Go out to process decision recommendation；Status data and decision recommendation are transferred to production management system, trigger defect management flow startup and comment
Valency state automatically updates.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention, be convenient to collection of illustrative plates centralized management and
Information sharing, improves the accuracy of atlas analysis diagnosis, reliability, and provides decision recommendation for defect in-situ processing, also
Dock alternately with production management system, play the most positive effect to going deep into puopulsion equipment repair based on condition of component.
Accompanying drawing explanation
Fig. 1 is the stream of the analyzing and diagnosing process of the method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention
Cheng Tu.
Fig. 2 is the stream of the method Criterion spectrum library utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention
Cheng Tu.
Fig. 3 is that the foundation typical case of the method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention is abnormal infrared
The flow chart of spectrum library.
Fig. 4 is the most like case diagram of acquisition of the method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention
The flow chart of spectrum.
Below by way of detailed description of the invention, and the invention will be further described to combine accompanying drawing.
Detailed description of the invention
See accompanying drawing 1～Fig. 4, the method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect, it is characterized in that, including such as
Lower step:
Step 1: specification spectrum data form, by equipment by platform or by Criterion spectrum library and typical case are abnormal the reddest respectively mutually
Outer spectrum library；
Step 2: use Portable Multifunctional Temperature Measurer device or online infrared measurement of temperature instrument, the infra-red heat of collection in worksite equipment under test
Figure, and the facility information of equipment under test is obtained according to infrared chart；
Step 3: the facility information of equipment under test is mated with the account information in production management system, positions tested
Equipment, to determine that equipment under test is which the platform equipment in account information, so that it is determined that the type of equipment under test, model and institute
Position etc., one is that two is to be convenient to so that make staff quickly to process when equipment exists abnormal conditions
The statistical query of infared spectrum, three are easy for realizing docking with the mutual of production management system；Infared spectrum identification, matching unit
Account information process: after Portable Multifunctional Temperature Measurer device collection in worksite infared spectrum, collection of illustrative plates is manually kept on computers, then leads to
Cross and dock with production management system server, manually transfer equipment under test equipment account information in production management system, real
Automatically the name of existing collection of illustrative plates and storage, realize mating of collection of illustrative plates and equipment account information with this；Online temperature measuring device is due to thing
First each scanning element be marked the operation numbering of field apparatus, device name, so can pass through in instrument internal system
The collection of illustrative plates that collects is realized automatically and equipment account information match with the real-time communication of production management system server.
Step 4: judge the suspicious hot spot of equipment under test, and judge the pyrogenicity type of equipment under test pyrogenicity；Equipment causes
Hot type includes: current mode pyrogenicity, voltage-type pyrogenicity and comprehensive pyrogenicity；
Step 5: obtain temperature parameter and the in-site measurement personnel of equipment under test in infrared chart, measure time, measuring instrument
Device and ambient parameter information；
Step 6: utilize temperature parameter and the ambient parameter information of the infrared chart of equipment under test, calculates the red of equipment under test
The associated temperature index of outer thermal map；Described associated temperature index includes hot(test)-spot temperature, the temperature difference, relative temperature difference and temperature rise；Described heat
Point temperature directly obtains from equipment under test infrared chart, and the temperature difference, relative temperature difference, temperature rise are by obtaining from infrared chart
Minimum temperature and ambient temperature carry out calculating, in DL/T664-2008 " charging equipment infrared diagnostics application specification "
Having the definition of these indexs, temperature rise is the difference of equipment hot(test)-spot temperature and ambient temperature, and the temperature difference is hot(test)-spot temperature and minimum temperature
Difference, relative temperature difference i.e. (hot(test)-spot temperature-minimum temperature) is multiplied by absolutely divided by (minimum temperature-ambient temperature) again.
Step 7: according to the associated temperature index calculated in step 6, automatically search for extraction in all history collection of illustrative plates
Go out most like case collection of illustrative plates；Described history collection of illustrative plates includes the collection of illustrative plates in standard diagram storehouse and typical case's exception infared spectrum storehouse, also
Including the on-the-spot collection of illustrative plates of the most all previous collection, the collection of illustrative plates every time gathered is analyzed after diagnosing, i.e. turn after equipment deficiency in-situ processing
For history collection of illustrative plates.
Step 8: the associated temperature index that the pyrogenicity type of equipment under test obtained according to step 4 and step 6 obtain, than
On the basis of standard diagram, the abnormal infared spectrum of typical case and most like case collection of illustrative plates, whether comprehensive analyzing and diagnosing equipment under test
There is overheating defect；Whether comprehensive analysis diagnostic device occurs the method for overheating defect to include surface temperature determining method, relatively temperature
Difference determining method, characteristics of image determining method, similar multilevel iudge method and analysis file determining method；Surface temperature determining method is i.e. according to survey
The equipment surface temperature value obtained, to high pressure in comparison GB/T11022 " high-tension switch gear and control equipment common specification "
Switchgear and the control various parts of equipment, material, the temperature of dielectric and the pertinent regulations of temperature rise limit, combining environmental gas
Time condition, payload are analyzed judging；Relative temperature difference determining method i.e. according to recording equipment relative temperature difference, compares DL/T664-
The pertinent regulations of 2008 " charging equipment infrared diagnostics application specifications ", are analyzed judging in conjunction with fault signature；Characteristics of image is sentenced
Disconnected method is i.e. according to normal condition and the Thermal imaging spectrum of abnormality of same category of device, it is judged that equipment is the most normal；Similar comparison is sentenced
Disconnected method i.e. according to organizing between three-phase equipment, homophase equipment and between same category of device, the temperature difference of corresponding position compares analysis,
Judge that equipment is the most normal；Analysis file determining method i.e. combines history map record, analyzes the temperature of same equipment different times
Field distribution, finds out the change of equipment pyrogenicity parameter, it is judged that equipment is the most normal.
Step 9: according to the analyzing and diagnosing result of step 8, equipment under test state and defect level being judged deciding grade and level, analysis can
The risk that can cause also provides corresponding in-situ processing decision recommendation；
Step 10: by equipment under test status information (i.e. the equipment under test state of step 9, including equipment heating position, send out
Hot degree) and step 9 in process decision recommendation be transferred to production management system, trigger defect management flow startup and evaluate shape
State automatically updates.
Equipment under test state in described step 9 includes normal condition, attention state, defect state, and defect level divides again
Level is general defect, major defect and critical defect；Described in-situ processing decision recommendation is primarily directed to need that takes to enter
One step checkup item, equipment whether need to strengthen to monitor and to the treatment measures of certain concrete parts, the defect processing time limit and
The suggestion of the aspects such as urgency requirement.
In described step 1, described standard diagram storehouse comprises the normal infared spectrum storehouse of all equipment under tests and visible
Light spectrum library two parts；Described normal infared spectrum storehouse is for reference to comparison analysis, and described visible ray spectrum library is retouched for high definition
Paint display device heat generating spot；
The abnormal infared spectrum storehouse of described typical case includes that the representativeness of each common heat generating components of all equipment under tests is different
Often infared spectrum, described abnormal infared spectrum is also accompanied with defect situation description, Causes Analysis and in-situ processing situation etc.
Information.
In described step 2, described Portable Multifunctional Temperature Measurer device utilizes USB standard interface that the collection of illustrative plates collected is stored meter
Calculation machine also uploads onto the server；Described online infrared radiation thermometer utensil has real-time communication function, automatically will be gathered by RS485
To collection of illustrative plates upload onto the server.
In described step 2, according to infrared chart obtain equipment under test facility information include device type, electric pressure,
Unit type, equipment manufacturer and device name, to realize the name automatically of infared spectrum, storage；Use Portable Multifunctional Temperature Measurer device
Time, manual identification equipment under test account information, the collection of illustrative plates of online thermometric collection identifies by the way of mark scan point automatically
Equipment and account information thereof.
In described step 5, the temperature parameter of equipment under test is automatically to extract from collection of illustrative plates；Use Portable Multifunctional Temperature Measurer device
Time, in-site measurement personnel, measurement time, measuring instrument and ambient parameter information backfill manually；Use online red
Outer temperature measuring device, in-site measurement personnel, measurement time, measuring instrument and ambient parameter information are automatically to obtain；Described environment
Parameter refers to atmospheric temperature, relative humidity, wind-force, radiance, measurement distance and working voltage and load current.
Most like case collection of illustrative plates in described step 7, refers to have identical pyrogenicity type, identical voltage etc. with this collection of illustrative plates
Level, identical device type with in the collection of illustrative plates of identical heat generating components, for by hot(test)-spot temperature, the temperature difference, relative temperature difference and temperature rise institute shape
The temperature index characteristic vector become, the collection of illustrative plates that similarity coefficient is higher, deviation ratio is minimum.
In step 8, described analysis and diagnosis method includes: surface temperature determining method, relative temperature difference determining method, characteristics of image
Determining method, similar multilevel iudge method and analysis file determining method.
In step 10, after triggering equipment deficiency flow startup and evaluation state automatically update, collection of illustrative plates will be to defect stream
Journey and record are tracked, and defect state, Causes Analysis and in-situ processing situation will be backfilling into attaching of corresponding collection of illustrative plates
Going in information, analyzing for later collection of illustrative plates comparison provides reference.
Described equipment under test includes transformator, chopper, disconnecting switch, current transformer, voltage transformer, reactance
Device, power capacitor, spark gap, insulator, bus, combined electrical apparatus, sleeve pipe, wall bushing, wire, wire clamp, cable termination and
Secondary terminals case.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention, specification spectrum data form, side
It is easy to centralized management and the information sharing of collection of illustrative plates；High definition visible ray collection of illustrative plates multi-angle presentation device panorama, can aid in the most aobvious
Show equipment heating point, provide reliable basis for analyzing and diagnosing and in-situ processing, and solve temperature measuring device well at collection of illustrative plates
Contradictory relation between definition and discriminatory analysis speed；Fully comparison standard diagram, the abnormal collection of illustrative plates of typical case and most like case
Collection of illustrative plates, introduces the reference of on-the-spot practical experience, uses multiple methods analyst to diagnose on this basis, substantially increase collection of illustrative plates and divide
The accuracy of analysis judgement and reliability；Have inquiry quick, comprehensive, add up, browse, the maintenance function such as amendment, can be to super week
Phase is without the corresponding collection of illustrative plates mark color warning of the equipment of map record and non-defect elimination over time limit, it is simple to carry out equipment thermometric cycle management and
Defect process management, and owing to docking with production management system real-time, interactive, can provide the most just for equipment state overhauling
Profit.
The present invention provides the embodiment of method as follows:
See accompanying drawing 1, utilize the method for infared spectrum analyzing and diagnosing apparatus overheat defect to comprise the following steps:
(1) specification spectrum data form, by equipment by platform or by Criterion spectrum library and typical case are abnormal the most infrared respectively mutually
Spectrum library；
Spectrum data uniform format specification is JPG or BMP form；Equipment includes transformator, chopper, disconnecting switch, electricity
Current transformer, voltage transformer, reactor, power capacitor, spark gap, insulator, bus, combined electrical apparatus, sleeve pipe, set through walls
Pipe, wire, wire clamp, cable termination and secondary terminals case.
The process of setting up in standard diagram storehouse is as shown in Figure 2.High definition visible light camera is on-the-spot collects panorama by platform equipment
Visible ray collection of illustrative plates, under manually equipment account is arrived in storage, forms the visible ray spectrum library containing full equipment；Portable or online survey
Temperature instrument is on-the-spot collects normal infrared chart by platform equipment, and equipment account information is identified, is mated, and normal infared spectrum enters
Row achieves, and forms the normal infared spectrum storehouse containing each possible heat generating components of armamentarium；The collection of illustrative plates form in two storehouses of specification, builds
Erect standby standard diagram storehouse.
The process of setting up in the abnormal infared spectrum storehouse of typical case is as shown in Figure 3.Portable or online temperature measuring device sets by platform
The possible heat generating components that standby location is common, on-site collection typical case's exception infared spectrum, equipment account is identified, mates,
Typical case is abnormal, and infared spectrum achieves, and specification collection of illustrative plates form sets up equipment typical case's exception infared spectrum storehouse.
(2) portable or online infrared measurement of temperature instrument collection in worksite equipment infrared chart is used；
During Portable Multifunctional Temperature Measurer device collection in worksite infrared chart, weather is advisable with cloudy, cloudy, and wind speed is generally no greater than
0.5 meter per second, equipment more than 24 hours, should avoid the interference of infrared source conduction time as far as possible, and temperature measuring device also needs regular school
Test；Online temperature measuring equipment should be able to work by continuous-stable for a long time, meets round-the-clock environment and uses condition.
The collection of illustrative plates that Portable Multifunctional Temperature Measurer device collects utilizes USB standard interface store computer and upload onto the server；
Online temperature measuring device has real-time communication function, is automatically uploaded onto the server by the collection of illustrative plates collected by RS485.
(3) identifying equipment account information in production management system, infrared chart mates with relevant device account；
Name automatically and storage can be realized after spectrum recognition matching unit account, and can be according to equipment account information to collection of illustrative plates
Safeguard, carry out collection of illustrative plates inquiry, add up, browse, the feature operation such as amendment.
(4) the location suspicious hot spot of equipment, and judge the type of equipment pyrogenicity；
In equipment collection of illustrative plates, some region of mean temperature particularly differs from other regions, then orientate suspicious hot spot as；
The type of equipment pyrogenicity includes current mode pyrogenicity, voltage-type pyrogenicity and comprehensive pyrogenicity.
(5) obtain temperature parameter and the in-site measurement personnel of infrared chart, measure time, measuring instrument and ambient parameter
Information；
Temperature parameter calculates extracting data from the primary thermometer of collection of illustrative plates automatically；For in-site measurement personnel, measure the time,
Measuring instrument and ambient parameter information, portable thermometric mode backfills manually, and online thermometric mode obtains the most automatically
Take and upload and be backfilling into server.
(6) hot(test)-spot temperature, the temperature difference, relative temperature difference and the temperature rise etc. of the parameter information matrix unit infared spectrum obtained are utilized
Index of correlation；
Temperature parameter that the indexs such as hot(test)-spot temperature, the temperature difference, relative temperature difference and temperature rise are automatically extracted by spectrogram and air
Temperature value converts.
(7) according to the associated temperature desired value calculated, in all history collection of illustrative plates, search extracts most like automatically
Case collection of illustrative plates；
The extraction process of most like case collection of illustrative plates is as shown in Figure 4.Find out from history map record and compose with this illustration
The collection of illustrative plates that pyrogenicity type, electric pressure, device type, heat generating components are the most identical；Meet the history collection of illustrative plates of condition respectively with this example
Collection of illustrative plates relative analysis, calculates the similarity coefficient of temperature index characteristic vector；Filter out the similarity coefficient history collection of illustrative plates more than 0.9；
Determine the weight coefficient of a temperature index according to pyrogenicity type and calculate the temperature index spy of history collection of illustrative plates and this illustration spectrum respectively
Levy vector deviation ratio；Find out the history collection of illustrative plates that deviation ratio is minimum, be defined as the most like case collection of illustrative plates of this illustration spectrum.
Four dimensional vectors that hot(test)-spot temperature that temperature index characteristic vector is collection of illustrative plates, the temperature difference, relative temperature difference, temperature rise are formed,
The hot(test)-spot temperature value composed such as this illustration is designated as a1, temperature approach is designated as a2, relative temperature difference value is designated as a3, temperature rise value is designated as a4, then this example
The temperature index characteristic vector A=[a of collection of illustrative plates1, a2, a3, a4], in like manner, the hot(test)-spot temperature value of arbitrary history collection of illustrative plates can be designated as bi1,
Temperature approach is designated as bi2, relative temperature difference value is designated as bi3, temperature rise value is designated as bi4, the temperature index characteristic vector of arbitrary history collection of illustrative plates
Bi=[bi1, bi2, bi3, bi4]。
The similarity coefficient of temperature index characteristic vector uses cosine similarity coefficient to calculate, and the temperature index of this illustration spectrum is special
Levy temperature index characteristic vector B of vector A and arbitrary history collection of illustrative platesiCosine similarity coefficient ρcosCan calculate by following equation:
In view of the difference of equipment pyrogenicity type, to the influence degree of each component in the temperature index characteristic vector of collection of illustrative plates also
Different, therefore, calculating this illustration spectrum temperature index characteristic vector A and arbitrary history collection of illustrative plates temperature index characteristic vector Bi's
During deviation ratio, taking comprehensive weight deviation ratio to calculate, during calculating, weight coefficient vector is designated as K=[k1, k2, k3, k4], the most comprehensively
The computing formula of weighted deviations rate ε is as follows:
Wherein, K=[0.40,0.15,0.20,0.25] when being current mode pyrogenicity for equipment pyrogenicity type, equipment is caused
K=[0.10,0.45,0.35,0.10] when hot type is voltage-type pyrogenicity, K=when being comprehensive pyrogenicity for equipment pyrogenicity type
[0.25,0.25,0.25,0.25].
(8) bonding apparatus pyrogenicity type and temperature index value, abundant comparison standard diagram, the abnormal infared spectrum of typical case and
On the basis of most like case collection of illustrative plates, multiple method is used comprehensively to analyze whether diagnostic device occurs overheating defect；
Multiple analysis and diagnosis method includes surface temperature determining method, relative temperature difference determining method, characteristics of image determining method, similar
Multilevel iudge method and analysis file determining method.Surface temperature determining method, i.e. according to the equipment surface temperature value recorded, compares GB/
In T11022 " high-tension switch gear and control equipment common specification " to high-tension switch gear and control the various parts of equipment,
Material, the temperature of dielectric and the pertinent regulations of temperature rise limit, combining environmental weather conditions, payload are analyzed sentencing
Disconnected；Relative temperature difference determining method is i.e. according to recording equipment relative temperature difference, and comparison DL/T664-2008 " apply by charging equipment infrared diagnostics
Specification " pertinent regulations, in conjunction with fault signature be analyzed judge；Characteristics of image determining method is i.e. according to the normal shape of same category of device
State and the Thermal imaging spectrum of abnormality, it is judged that equipment is the most normal；Similar multilevel iudge method is i.e. according to organizing three-phase equipment, homophase
The temperature difference of corresponding position compares analysis between equipment and between same category of device, it is judged that equipment is the most normal；Analysis file is sentenced
Disconnected method i.e. combines history map record, analyzes the thermo parameters method of same equipment different times, finds out the change of equipment pyrogenicity parameter
Change, it is judged that equipment is the most normal.
(9) according to diagnostic result, equipment state and defect level are judged deciding grade and level, analyzes the risk that may cause and be given
Corresponding in-situ processing decision recommendation；
Equipment state includes normal condition, attention state, defect state, and defect level is classified as again general defect, serious
Defect and critical defect；Described in-situ processing decision recommendation is primarily directed to further checkup item, the equipment needing to take
Whether need to strengthen monitoring and to aspects such as treatment measures, defect processing time limit and the urgency requirements of certain concrete parts
Suggestion.
(10) status information and process decision recommendation are transferred to production management system, trigger defect management flow startup and comment
Valency state automatically updates.
After triggering equipment deficiency flow startup and evaluation state automatically update, defect flow process and record will be carried out by collection of illustrative plates
Following the tracks of, defect state, Causes Analysis and in-situ processing situation will be backfilling in the incidental information of corresponding collection of illustrative plates and go, for
After collection of illustrative plates comparison analyze provide reference.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect of the present invention, its Criterion spectrum library and typical case
Abnormal spectrum library, automatically extracts most like case collection of illustrative plates, then by this collection of illustrative plates and standard diagram, Dian Xingyi in history collection of illustrative plates
Often collection of illustrative plates and the abundant comparison of most like collection of illustrative plates, use multiple method comprehensively to analyze diagnostic device on this basis the most overheated, sentence
Locking equipment state and defect level also propose in-situ processing decision recommendation, and status data and decision recommendation are transferred to production management
System, triggers defect management flow startup and evaluation state automatically updates.
Claims (9)
1. the method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect, is characterized in that, comprise the following steps:
Step 1: specification spectrum data form, by equipment by platform or by distinguishing Criterion spectrum library and the abnormal infrared figure of typical case mutually
Spectrum storehouse；
Step 2: utilization Portable Multifunctional Temperature Measurer device or online infrared measurement of temperature instrument, the infrared chart of collection in worksite equipment under test,
And the facility information of equipment under test is obtained according to infrared chart；
Step 3: the facility information of equipment under test is mated with the account information in production management system, positions tested setting
Standby；
Step 4: judge the suspicious hot spot of equipment under test, and judge the pyrogenicity type of equipment under test pyrogenicity；
Step 5: obtain equipment under test in infrared chart temperature parameter and in-site measurement personnel, measure the time, measuring instrument and
Ambient parameter information；
Step 6: utilize temperature parameter and the ambient parameter information of the infrared chart of equipment under test, calculates the infra-red heat of equipment under test
The associated temperature index of figure；Described associated temperature index includes hot(test)-spot temperature, the temperature difference, relative temperature difference and temperature rise；
Temperature index characteristic vector is hot(test)-spot temperature a of collection of illustrative plates1, temperature difference a2, relative temperature difference a3, temperature rise a4Four dimensional vectors formed
A, A=[a1, a2, a3, a4]；The hot(test)-spot temperature value of arbitrary history collection of illustrative plates is bi1, temperature approach be bi2, relative temperature difference value be bi3, temperature
Appreciate for bi4, temperature index characteristic vector B of arbitrary history collection of illustrative platesi=[bi1, bi2, bi3, bi4]；
Temperature index characteristic vector A and temperature index characteristic vector B of arbitrary history collection of illustrative platesiSimilarity coefficient use cosine similar
Coefficient ρcosCalculate, cosine similarity coefficient ρcosCalculate by following equation:
Step 7: according to the associated temperature index calculated in step 6, in all history collection of illustrative plates, search extracts the most automatically
Similar cases collection of illustrative plates；
Find out the most identical with this illustration spectrum pyrogenicity type, electric pressure, device type, heat generating components from history map record
Collection of illustrative plates；The history collection of illustrative plates meeting condition composes relative analysis with this illustration respectively, calculates the similar system of temperature index characteristic vector
Number；Filter out the similarity coefficient history collection of illustrative plates more than 0.9；Weight coefficient the difference of a temperature index is determined according to pyrogenicity type
Calculate the temperature index characteristic vector deviation ratio of history collection of illustrative plates and this illustration spectrum；Find out the history collection of illustrative plates that deviation ratio is minimum, determine
The most like case collection of illustrative plates composed for this illustration；
Step 8: the associated temperature index that the pyrogenicity type of equipment under test obtained according to step 4 and step 6 obtain, at comparison mark
On the basis of quasi-collection of illustrative plates, the abnormal infared spectrum of typical case and most like case collection of illustrative plates, whether comprehensive analyzing and diagnosing equipment under test occurs
Overheating defect；
Step 9: according to the analyzing and diagnosing result of step 8, equipment under test state and defect level being judged deciding grade and level, analysis may be led
Cause risk and provide corresponding in-situ processing decision recommendation；
Step 10: the equipment under test status information in step 9 and process decision recommendation are transferred to production management system, wherein,
Equipment under test state includes the heating position of equipment, the degree of heat, triggers defect management flow startup and the state of evaluation is automatic the most more
Newly.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, in institute
Stating in step 1, described standard diagram storehouse comprises normal infared spectrum storehouse and the visible ray spectrum library two of all equipment under tests
Point；Described normal infared spectrum storehouse is for reference to comparison analysis, and described visible ray spectrum library is described display device for high definition and sent out
Focus；
The abnormal infared spectrum storehouse of described typical case includes the representative abnormal red of each common heat generating components of all equipment under tests
Outer collection of illustrative plates, described representative abnormal infared spectrum is also accompanied with defect situation description, Causes Analysis and in-situ processing situation.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, in institute
Stating in step 2, described Portable Multifunctional Temperature Measurer device utilizes USB standard interface the collection of illustrative plates collected is stored computer and is uploaded to
Server；Described online infrared radiation thermometer utensil has real-time communication function, is automatically uploaded by the collection of illustrative plates collected by RS485
To server.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, described
In step 2, the facility information obtaining equipment under test according to infrared chart includes device type, electric pressure, unit type, equipment
Producer and device name, to realize the name automatically of infared spectrum, storage；When using Portable Multifunctional Temperature Measurer device, manual identification quilt
Measurement equipment account information, the collection of illustrative plates that online thermometric gathers is automatic identification equipment and account letter thereof by the way of mark scan point
Breath.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, described
In step 5, the temperature parameter of equipment under test is automatically to extract from collection of illustrative plates；When using Portable Multifunctional Temperature Measurer device, in-site measurement
Personnel, measurement time, measuring instrument and ambient parameter information backfill manually；Use online infrared measurement of temperature instrument,
In-site measurement personnel, measurement time, measuring instrument and ambient parameter information are automatically to obtain；Described ambient parameter refers to air
Temperature, relative humidity, wind-force, radiance, measurement distance and working voltage and load current.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, described
Most like case collection of illustrative plates in step 7, refers to have identical pyrogenicity type, identical electric pressure, identical device with this collection of illustrative plates
Type with in the collection of illustrative plates of identical heat generating components, for the temperature index formed by hot(test)-spot temperature, the temperature difference, relative temperature difference and temperature rise
Characteristic vector, the collection of illustrative plates that similarity coefficient is more than 0.9, deviation ratio is minimum.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, step
In 8, whether comprehensive analyzing and diagnosing equipment under test occurs the method for overheating defect to include: surface temperature determining method, relative temperature difference are sentenced
Disconnected method, characteristics of image determining method, similar multilevel iudge method and analysis file determining method.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, in step
In rapid 10, after triggering equipment deficiency flow startup and evaluation state automatically update, defect flow process and record will be carried out by collection of illustrative plates
Following the tracks of, defect state, Causes Analysis and in-situ processing situation will be backfilling in the incidental information of corresponding collection of illustrative plates and go, for
After collection of illustrative plates comparison analyze provide reference.
The method utilizing infared spectrum analyzing and diagnosing apparatus overheat defect the most according to claim 1, is characterized in that, described
Equipment under test can include transformator, chopper, disconnecting switch, current transformer, voltage transformer, reactor, electric capacitor
Device, spark gap, insulator, bus, combined electrical apparatus, sleeve pipe, wall bushing, wire, wire clamp, cable termination and secondary terminals case.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410161021.1A CN103901072B (en) | 2014-04-21 | 2014-04-21 | Method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410161021.1A CN103901072B (en) | 2014-04-21 | 2014-04-21 | Method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103901072A CN103901072A (en) | 2014-07-02 |
| CN103901072B true CN103901072B (en) | 2017-01-11 |
Family
ID=50992533
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410161021.1A Expired - Fee Related CN103901072B (en) | 2014-04-21 | 2014-04-21 | Method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103901072B (en) |
Families Citing this family (37)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242239B (en) * | 2014-09-22 | 2017-07-28 | 云南电网公司电力科学研究院 | A kind of dry type parallel reactor protection method monitored based on temperature, temperature rise |
| CN104899936B (en) * | 2015-06-16 | 2017-06-13 | 深圳市联翼风电技术有限公司 | A kind of photovoltaic module fault cues method and system based on image recognition |
| CN105445516B (en) * | 2015-11-16 | 2016-10-12 | 国网山东省电力公司沂水县供电公司 | A kind of Intelligent electronic optical pole current transformer |
| CN105445515B (en) * | 2015-11-16 | 2016-09-28 | 国家电网公司 | Intelligent electronic optical pole current transformer |
| CN105242092B (en) * | 2015-11-16 | 2016-06-29 | 国家电网公司 | Self-check type electronic type voltage transformer |
| CN105242093B (en) * | 2015-11-16 | 2016-06-08 | 国家电网公司 | Electronic current mutual inductor |
| CN105301328B (en) * | 2015-11-16 | 2016-06-08 | 国网山东省电力公司定陶县供电公司 | A kind of self-check type electronic type voltage transformer |
| CN107782764B (en) * | 2016-08-25 | 2021-02-23 | 成都鼎桥通信技术有限公司 | Fault identification method for photovoltaic module |
| CN106408215A (en) * | 2016-10-28 | 2017-02-15 | 宁波天派智能科技有限公司 | Substation equipment running condition detection method and device |
| CN108082215A (en) * | 2016-11-23 | 2018-05-29 | 比亚迪股份有限公司 | Track traffic method for safety monitoring and monitoring system and track train |
| CN106844568A (en) * | 2016-12-31 | 2017-06-13 | 杭州天铂红外光电技术有限公司 | A kind of method and device of automatic name infrared chart |
| CN107024506B (en) * | 2017-03-09 | 2020-06-26 | 深圳市朗驰欣创科技股份有限公司 | Pyrogenicity defect detection method and system |
| CN106969836A (en) * | 2017-03-21 | 2017-07-21 | 华北电力大学（保定） | A kind of detection method of insulator heat generating spot |
| CN107255518A (en) * | 2017-05-22 | 2017-10-17 | 大唐宝鸡热电厂 | Power transmission and transforming equipment monitoring system and method based on infrared imagery technique |
| CN110318953B (en) * | 2018-03-30 | 2021-01-26 | 北京金风科创风电设备有限公司 | Temperature monitoring method and device for wind turbine generator electric control system |
| CN109163811B (en) * | 2018-07-26 | 2024-09-06 | 国网江苏省电力有限公司南京供电分公司 | Portable head-mounted infrared detector for real-time intelligent analysis |
| US11410133B2 (en) | 2018-12-27 | 2022-08-09 | Far Eastone Telecommunications Co., Ltd. | Management apparatus and management method thereof for electronic equipment |
| CN109945977B (en) * | 2019-04-08 | 2020-10-30 | 华北电力大学（保定） | Thermal fault diagnosis method and system for dry-type transformer |
| CN110319937A (en) * | 2019-05-21 | 2019-10-11 | 广州供电局有限公司 | Infrared measurement of temperature image processing method, device, computer equipment and storage medium |
| CN110530432A (en) * | 2019-09-30 | 2019-12-03 | 国网山东省电力公司电力科学研究院 | A kind of grid equipment electrification detection system, thermal infrared imager and method |
| US11953379B2 (en) * | 2019-09-30 | 2024-04-09 | State Grid Shandong Electric Power Research Institute | Live detection system, method, and thermal infrared imager for power grid equipment |
| CN111085992B (en) * | 2019-10-12 | 2023-02-28 | 国网山东省电力公司莱芜供电公司 | Method for planning infrared temperature measurement optimal path in open-type transformer substation, intelligent inspection robot and readable storage medium |
| CN110988612B (en) * | 2019-11-08 | 2021-07-20 | 广东电网有限责任公司 | Cable head insulation performance online monitoring system and method |
| CN111044149A (en) * | 2019-12-19 | 2020-04-21 | 国网重庆市电力公司电力科学研究院 | Method and device for detecting temperature abnormal point of voltage transformer and readable storage medium |
| CN111342391B (en) * | 2020-03-06 | 2021-05-14 | 云南电网有限责任公司电力科学研究院 | Power transmission line insulator and line fault inspection method and inspection system |
| CN111222085B (en) * | 2020-04-15 | 2020-08-04 | 广东电网有限责任公司佛山供电局 | Real-time evaluation method for health state of capacitive voltage transformer |
| CN111624229B (en) * | 2020-05-15 | 2023-03-17 | 嘉兴恒创电力设计研究院有限公司明绘分公司 | Intelligent charged equipment fault diagnosis method based on infrared imaging |
| CN113744507A (en) * | 2020-05-28 | 2021-12-03 | 中国石油化工股份有限公司 | Infrared standardized intelligent early warning/alarming wireless transmission system of refining device |
| CN111965214B (en) * | 2020-07-09 | 2023-05-16 | 国网浙江省电力有限公司电力科学研究院 | Method and system for judging heating defect of composite insulator of overhead line |
| CN112179496A (en) * | 2020-09-15 | 2021-01-05 | 西安交通大学 | Infrared diagnosis operation and maintenance method for ultra-high voltage and extra-high voltage wall bushing with contact finger structure |
| CN112199339B (en) * | 2020-10-10 | 2022-12-06 | 福州润森电气自动化有限公司 | Method for automatically naming infrared thermograph of equipment on power transmission line |
| CN112507510A (en) * | 2020-10-30 | 2021-03-16 | 珠海一多监测科技有限公司 | Power equipment state diagnosis method based on temperature rise load performance, electronic equipment and storage medium |
| CN113190693B (en) * | 2021-05-31 | 2023-01-20 | 冯凯 | Data processing method and device of energy storage system, electronic equipment and storage medium |
| CN113433167B (en) * | 2021-06-10 | 2022-06-21 | 国网湖南省电力有限公司 | Method and system for monitoring state of power cable terminal equipment based on infrared chart |
| CN113884537A (en) * | 2021-10-12 | 2022-01-04 | 国家电网有限公司 | Porcelain insulator defect detection method based on infrared temperature rise |
| CN114764684A (en) * | 2022-04-15 | 2022-07-19 | 西安热工研究院有限公司 | New energy station operation and maintenance quality evaluation method, system, equipment and medium |
| CN115266819A (en) * | 2022-07-20 | 2022-11-01 | 国网智能电网研究院有限公司 | Casing thermal diagnosis method and device and electronic equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1180164A (en) * | 1997-04-16 | 1998-04-29 | 内蒙古超高压供电局 | Relative temp. difference rate diagnostic method in infrared detection |
| US6838670B2 (en) * | 2002-11-12 | 2005-01-04 | Siemens Westinghouse Power Corporation | Methods and system for ultrasonic thermographic non-destructive examination for enhanced defect determination |
| CN102565625A (en) * | 2011-05-25 | 2012-07-11 | 上海大学 | Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image |
| CN102840918A (en) * | 2012-08-17 | 2012-12-26 | 中国电力科学研究院 | Method for managing and analyzing infrared spectrogram of electric transmission and transformation equipment |
| CN103018163A (en) * | 2011-09-21 | 2013-04-03 | 技嘉科技股份有限公司 | Fault detection method and fault detection device |
| CN103140754A (en) * | 2010-07-13 | 2013-06-05 | 普乐福尼克·迪特·布什股份公司 | Method and system for predicting errors on components of rotating machines by thermography |
| CN103376159A (en) * | 2012-04-27 | 2013-10-30 | 富泰华工业（深圳）有限公司 | Thermal imaging device, thermal imaging method and thermal imaging control system |
| CN103617501A (en) * | 2013-12-04 | 2014-03-05 | 国家电网公司 | Operation maintenance method of substation |
-
2014
- 2014-04-21 CN CN201410161021.1A patent/CN103901072B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1180164A (en) * | 1997-04-16 | 1998-04-29 | 内蒙古超高压供电局 | Relative temp. difference rate diagnostic method in infrared detection |
| US6838670B2 (en) * | 2002-11-12 | 2005-01-04 | Siemens Westinghouse Power Corporation | Methods and system for ultrasonic thermographic non-destructive examination for enhanced defect determination |
| CN103140754A (en) * | 2010-07-13 | 2013-06-05 | 普乐福尼克·迪特·布什股份公司 | Method and system for predicting errors on components of rotating machines by thermography |
| CN102565625A (en) * | 2011-05-25 | 2012-07-11 | 上海大学 | Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image |
| CN103018163A (en) * | 2011-09-21 | 2013-04-03 | 技嘉科技股份有限公司 | Fault detection method and fault detection device |
| CN103376159A (en) * | 2012-04-27 | 2013-10-30 | 富泰华工业（深圳）有限公司 | Thermal imaging device, thermal imaging method and thermal imaging control system |
| CN102840918A (en) * | 2012-08-17 | 2012-12-26 | 中国电力科学研究院 | Method for managing and analyzing infrared spectrogram of electric transmission and transformation equipment |
| CN103617501A (en) * | 2013-12-04 | 2014-03-05 | 国家电网公司 | Operation maintenance method of substation |
Non-Patent Citations (1)
| Title |
|---|
| 红外摄像技术及输变电红外图谱数据库系统的建立;李亚峰 等;《陕西电力》;20120131;第40卷(第1期);第4.1.2，4.2.1节 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103901072A (en) | 2014-07-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103901072B (en) | Method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis | |
| CN111949809B (en) | Intelligent processing method for infrared inspection data of power transmission line | |
| CN111751002B (en) | Intelligent charged equipment fault diagnosis method based on infrared thermal imaging | |
| CN111624229B (en) | Intelligent charged equipment fault diagnosis method based on infrared imaging | |
| Jadin et al. | Feature extraction and classification for detecting the thermal faults in electrical installations | |
| CN111798407B (en) | Electrified equipment fault diagnosis method based on neural network model | |
| CN110411580B (en) | Diagnosis method and diagnosis system for heating defects of electric equipment | |
| CN107167497A (en) | A kind of equipment fault detection method and system | |
| CN109357766A (en) | Defect of transformer equipment detection method and defect detecting system based on infrared measurement of temperature | |
| CN108776804A (en) | A kind of transformer specialization repair method based on portable terminal | |
| CN109945977B (en) | Thermal fault diagnosis method and system for dry-type transformer | |
| CN110288578A (en) | A kind of power equipments defect infrared image recognizing system of high discrimination | |
| CN108896186A (en) | The method and device of equipment intelligent diagnosis | |
| US20210397837A1 (en) | Apparatus for monitoring a switchgear | |
| CN103901291A (en) | Method for diagnosing internal insulation defects of transformation equipment | |
| CN113820017A (en) | Generator carbon brush temperature monitoring system based on infrared image and temperature prediction method | |
| Wang et al. | Online monitoring of electrical equipment condition based on infrared image temperature data visualization | |
| CN106548211A (en) | Transformer station's point for measuring temperature automatic identifying method and device based on infrared image | |
| Haider et al. | Fault identification in electrical equipment using thermal image processing | |
| CN113418617A (en) | Three-dimensional temperature field measuring and diagnosing method for box type transformer of wind power plant | |
| CN116736073A (en) | Method and device for diagnosing faults of secondary direct current loop of transformer substation | |
| Zheng et al. | Intelligent diagnosis method of power equipment faults based on single‐stage infrared image target detection | |
| CN117498225B (en) | Unmanned aerial vehicle intelligent power line inspection system | |
| CN117741305A (en) | Fault detection system and method for transformer substation | |
| CN117031223A (en) | Diagnostic method for partial discharge defect of switch cabinet |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170111 Termination date: 20210421 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |