CN105022019B - The method of single-phase intelligent electric energy meter Reliability Synthesis evaluation - Google Patents
The method of single-phase intelligent electric energy meter Reliability Synthesis evaluation Download PDFInfo
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Abstract
The present invention is a kind of method that Reliability Synthesis evaluation is carried out to single-phase intelligent electric energy meter life cycle management.Intelligent electric energy meter reliability level is decided by design multiple links such as research and development, the manufacturing, test verification, operation maintenance, and existing reliability prediction, reliability compliance test etc. are based only on the evaluation and test of some link.The present invention is comprehensive in terms of reliability prediction, preliminary reliability assessment, reliability compliance test, accelerated degradation test, live data analysis five to the reliability assessment of intelligent electric energy meter to carry out reliability evaluation, covering electric energy meter life cycle comprehensively, give a kind of quantitative calculation method for determining the material time point of the two crash rate changes in " early fault period and random failure period separation " position and " separation of random failure period and wear-out failure period " position on failure curve.
Description
Technical field
The present invention is to be related to a kind of method that resident is evaluated with single-phase intelligent electric energy meter Reliability Synthesis.Belong to measuring equipment
Operation calibrating detection technique field.
Background technology
With economic development and scientific and technological progress, a ring of the intelligent electric energy meter as China's intelligent grid construction project terminal,
Its 26S Proteasome Structure and Function becomes to become increasingly complex.According to the planning of national grid, intelligent electric meter 2.3 hundred million will be installed in 2015.Such as
The measurement meter of this vast number, whether its running status is reliable and stable, will be directly connected to vital interests and the society of the common people
Harmony it is stable.The reliability evaluation of intelligent electric energy meter is related to the preceding design of production, production technology, bid examination and scene operation etc.
Multiple life-span links, each link can influence the reliability of electric energy meter.But the country is ground to single-phase intelligent electric energy meter reliability
Study carefully level just for single link in isolation to carry out, it is therefore necessary to establish from the angle of intelligent electric energy meter life cycle management whole
The reliability assessment system of body.
Appraisement system can preferably in the course of receiving confirm electric energy meter whether meet national grid Quantitative Reliability will
Ask.In terms of conceptual design principle, component selection and controlling of production process further matter can also be done to electric energy meter producer
Amount lifting is suggested, development cost is reduced, from Sources controlling electric energy meter quality.The foundation of appraisement system can reduce equipment failure rate
With equipment replacement frequency, there is provided good service is horizontal, is advantageous to extend rotational cycle, and then reduce power network O＆M cost.
The present invention be directed to existing intelligent electric energy meter reliability consideration method can only single-point carry out, single-phase meter rotation strategy not
Flexibly, the problems such as being only concerned the failure of electric energy meter complete machine without specific aim, existing reliability test standard, proposition utilizes reliability
It is expected that, preliminary reliability assessment, reliability compliance test, accelerated degradation test, can with reference to the many-side such as data of scene operation
By property horizontal information, the failure rate characteristic (tub curve) of intelligent electric energy meter is constantly approached, corrects, to carry out intelligent electric energy meter
A kind of method of reliability level evaluation in life cycle management.
The content of the invention
The purpose of the present invention is to degenerate to try using reliability prediction, preliminary reliability assessment, reliability compliance test, acceleration
Test, with reference to many-sided reliability level information such as the data of scene operation, establishing the intelligent electric energy meter based on life cycle management can
By property integrated evaluating method.
The present invention is to take following technical scheme to realize:
The method of single-phase intelligent electric energy meter Reliability Synthesis evaluation, it is characterised in that：Comprise the following steps：
(1) reliability prediction：According to the component inventory, component design parameter, reliability of this batch intelligent electric energy meter
Related process control measure or/and design principle figure related data, method for predicting, estimated handbook and Prediction Model are selected to intelligence
Electric energy meter carries out reliability prediction, provides reliability prediction report, determines the Phase Evaluation result；
(2) reliability is according to a preliminary estimate：Reliability test, environmental test and the aging sieve provided based on intelligent electric energy meter producer
Test data is selected, the reliability for carrying out intelligent electric energy meter according to a preliminary estimate, determines the Phase Evaluation result, obtains aging curve；
(3) reliability compliance test：The supply of material carries out reliability compliance test in laboratory conditions when checking and accepting, and provides inspection
Report, the Phase Evaluation result is provided according to assay；
(4) accelerated degradation test：Accelerated degradation test is carried out according to the methods of GB/T 17215.931, calculates each group stress
Under each failure mode Weibull distribution parameters, accelerated factor and Reliability Function, obtain the pseudo- burn-out life of intelligent electric energy meter
With the accidental section of failure curve, the Phase Evaluation result is provided according to the parameter of the segment fault curve；
(5) field operational data is analyzed：In intelligent electric energy meter running, quality surveillance is carried out to intelligent electric energy meter,
Collect time of putting into operation, operation conditions and the running environment data of operation intelligent electric energy meter；When an error occurs, intelligent fault is collected
Electric energy meter, analyzing failure cause and failure mechanism, crash rate is counted, failure curve is done according to statistics and crash rate result of calculation
Further amendment, the Phase Evaluation result is determined according to correction result；
(6) overall merit：Combined reliability is estimated, reliability entry evaluation, reliability compliance test, accelerated degradation test
Intelligent electric energy meter reliability comprehensive estimation model is established with field operational data, the synthesis for completing intelligent electric energy meter reliability is commented
Valency.
Will be through reliability prediction, reliability entry evaluation, reliability compliance test, accelerated degradation test and scene operation number
According to the fail data and failure curve, two time parameter t of failure curve of the last gained of five links of analysis1、t2It is fixed to establish
Amount contact, wherein, t1For early fault period and random failure period separation, t2For the boundary of random failure period and wear-out failure period
Point；
In the reliability entry evaluation stage, t is primarily determined that according to the result that burn-in screen is tested1The position of point；It will accelerate
The end position for the accidental section of failure curve that the degradation experiment stage obtains tentatively is set to the t of failure curve2Point position, connects t1、
t2, obtain the failure curve random failure period after correcting once；The field operational data analysis phase breaks down actual motion
Crash rate be added in the crash rate at the accidental section of the failure curve corresponding moment obtained after accelerated degradation test, after being adjusted
The crash rate of t：
Wherein, subscript t represents that the moment occurs for failure；λtFor in the accidental section of failure curve that is obtained after accelerated degradation test
The crash rate of t；λ‘tFor the crash rate of the t after adjustment；α is regulation coefficient.
If the failure of same cause occurs in different time sections in this batch of intelligent electric energy meter, the moment occurs in new failure
Calculated as stated above；
If the failure of different reasons occurs in different time sections in this batch of intelligent electric energy meter, the moment occurs in new failure
Calculated as stated above；
If there is the failure of different reasons in same time period in this batch of intelligent electric energy meter, that is to say, that while occur two
Kind or two or more phenomena of the failure, then the crash rate of t is calculated as follows after adjusting：
Wherein, α1To hinder the regulation coefficient of 1 failure electric energy meter, α for some reason2To hinder the regulation coefficient of 2 failure electric energy meters for some reason,
The like；Line quality monitoring constantly is entered to operation ammeter, it is found that intelligent fault electric energy meter is handled as stated above in time；
The field operational data analysis phase is according to obtained λ 'tValue carries out the amendment of failure curve, still with aging curve
Terminal is as starting point, with (λ 't, t) coordinate be terminal mapping；If any multiple (λ 't, t), then carry out curve plan with least square method
Close.
Reliability prediction result determines commenting for reliability prediction stage according to mean time to failure value Calculation Estimation parameter
Price card is accurate.
In the case where extracting same percentage, entry evaluation is using producer's burn-in screen result of the test percent of pass as reliable
The evaluating in property stage according to a preliminary estimate, determine the evaluation criterion in reliability prediction stage.
Reliability compliance test result determines the evaluation criterion in the stage according to examination situation；Qualified check and acceptance result is A etc.,
Unqualified check and acceptance result is directly C etc..
The evaluation table of accelerated degradation test is：
Revised t2There is certain displacement the relatively original position of point, and field operational data analysis is carried out according to the displacement
The reliability evaluation in stage：
| t2The relative displacement of point | ≤ 1% | >1% and≤2% | >2% |
| Opinion rating | A etc. | B etc. | C etc. |
Step (6), integrated evaluating method are：Using expert interview, combined reliability is expected, reliability is tentatively commented
Estimate, reliability compliance test, accelerated degradation test and field operational data distribution weight index, extraction and reliability quality management
Related index system, the design to each index score by rules is realized in the form of looking into value table；According to grade form and batch electric energy
Table each link reliability evaluation grade, give batch electric energy meter marking, finally give electric energy meter Reliability Synthesis evaluation knot
Fruit.
The beneficial effect that the present invention is reached：
1. the present invention formulates the integrated evaluating method of reliability in the range of intelligent electric energy meter life cycle management.National regulation
The rotational cycle of resident's single-phase intelligent electric energy meter be 6 years, and the electric energy meter taken on is due to the difference of producer, batch etc., can
It is not quite similar by property, rotational cycle does not simultaneously have specific aim.The present invention considers reliability prediction comprehensively, preliminary reliability is commented
Estimate, the reliability ring in five reliability compliance test, accelerated degradation test, field operational data electric energy meter life cycle managements
Section, is combined with the inherent failure characteristic tub curve of electronic product, not only gives evaluation method in each reliability link,
Qualitative, quantitative contact is also established between the evaluation result of five links.The comprehensive evaluation result of gained gives batch single-phase meter
The formulation of quality life-span management policy provide theoretical foundation and data supporting, be advantageous to extend rotational cycle, and then reduce
Power network O＆M cost.
2. the present invention gives a kind of determination failure curve from the life cycle management reliability perspectives of batch electric energy meter
Upper " early fault period and random failure period separation " position and " separation of random failure period and wear-out failure period " position two
The quantitative calculation method of the material time point of individual crash rate change.
3. the present invention can preferably in the course of receiving confirm electric energy meter whether meet national grid Quantitative Reliability will
Ask.In terms of conceptual design principle, component selection and controlling of production process further matter can also be done to electric energy meter producer
Amount lifting is suggested, development cost is reduced, from Sources controlling electric energy meter quality.
The present invention has refined the information and collection method collected in each reliability execution link needs, and it is clear to be advantageous to
Change specific works task of the reliability Work in implementation process.
Brief description of the drawings
Fig. 1 is single-phase intelligent electric energy meter Reliability Synthesis evaluation method overall framework；
Fig. 2 is the tub curve of single-phase intelligent electric energy meter；
Fig. 3 is single-phase intelligent electric energy meter reliability prediction flow chart.
Embodiment
Fig. 1 show the overall framework of intelligent electric energy meter Reliability Synthesis evaluation method.Evaluation method is divided into two big modules：
Fail-safe analysis and reliability demonstration.Wherein, fail-safe analysis includes two contents again：Reliability prediction and reliability are tentatively commented
Estimate.Reliability demonstration includes three aspect contents：Reliability compliance test, accelerated degradation test and live data analysis.It is last comprehensive
Five aspect data sources are closed, Data Integration is carried out, provides reliability assessment.The purpose for establishing integrated evaluating method be tracking and
Solve the life cycle management of batch electric energy meter, preferably estimated its runs residual life, reasonable arrangement rotation time, optimization O＆M into
This.Two big five contents of module occur from left to right in electric energy meter life cycle shown in Fig. 1, have on the time and successively close
System, reliability data are progressively accumulated and increased in evaluation system is by link progradation, and the credibility of reliability result is progressively
Improve, as a result will be more significant.The result of five links is used for determining the failure curve in the whole life cycle of electric energy meter
That is the parameter t of tub curve (Fig. 2)1、t2。t1For early fault period and random failure period separation, t2For random failure period and consumption
Damage the separation of failure period.
With reference to Fig. 2, Fig. 3 describe in detail the present invention intelligent electric energy meter Reliability Synthesis evaluation method, it include with
Lower step：
(1) reliability prediction：According to the bid component inventory of batch intelligent electric energy meter, component design parameter, reliable
Property the data such as related process control measure, design principle figure, select method for predicting, estimated handbook and Prediction Model to intelligent electric energy
Table carries out reliability prediction, provides reliability prediction report, determines the link evaluation result；
Schematic diagram, structural member of the estimated work first by electric energy meter producer offer intelligent electric energy meter are clear as can be seen from Figure 3
The particulars of single, component inventory and design parameter are pressed to provincial measurement centre, then by measurement centre with component stress method
Carry out reliability prediction work according to the estimated handbook of GJBZ299C-2006 reliability of electronic equipment, provide estimated report.
It is expected that one of final intended result provided in report is the crash rate of complete machine, the crash rate of complete machine is by power supply mould
Block, metering module, control module, display module, memory module, the crash rate of six modules of communication module are added to obtain：
Wherein λSFor complete machine crash rate, and the crash rate of each module is by forming each component failure rate of the module
λPijIt is added what is obtained, wherein, N is total number of modules amount, and M is the component total quantity for forming each module.And each component exists
After environmental stress is determined, according to the device quality grade and physical parameter of typing (such as the capacitance of patch capacitor, specified work
Make voltage, temperature coefficient, insulaion resistance, loss) crash rate can be calculated.Such as the crash rate of II class ceramic capacitors calculates
Formula is：
λP=λbπEπQπCVπch
Wherein, λP--- the crash rate of II class ceramic capacitors, 10-6/h；λb--- basic failure rate, 10-6/ h, can be by
The estimated handbooks of 299C are found；πE--- environmental coefficient, it can be found by the estimated handbooks of 299C；πQ--- quality coefficient, can be pre- by 299C
Meter handbook is found；πCV--- electric capacity coefficient of discharge, it can be found by the estimated handbooks of 299C；πch--- surface mount coefficient, can be by 299C
It is expected that handbook is found.
Another intended result in reliability prediction report is the predicted life of complete machine, i.e. mean time to failure
(MTTF), its value is the inverse of complete machine crash rate.The value is used for judging whether batch intelligent electric energy meter tentatively meets in design
Life requirements.Intended result determines the evaluation criterion of reliability prediction link according to MTTF value Calculation Estimation parameters.Evaluation is tied
It is third that fruit is divided into A, B, C.Such as：MTTF is that 16-18 is A etc., and 13-15 is B etc., and 10-12 is C etc..
(2) reliability is according to a preliminary estimate：Reliability test, environmental test based on the offer of intelligent electric energy meter producer, aging sieve
Test data is selected, the reliability for carrying out intelligent electric energy meter according to a preliminary estimate, determines the link evaluation result, obtains aging curve, i.e.,
Early fault period curve in failure curve；
Reliability entry evaluation collects electric energy meter producer test data (test data, failure letter in development process first
Breath and performance parameter etc.), then test data is arranged, validity check, Zhi Houfen are carried out using consistency check method
Analyse test data：According to carry out pilot project (including：Test humiture environment, test period), sample size, failure situation
(including：Number of faults, fault type, phenomenon of the failure description), data are divided into two classes, one kind is to can be used for reliability assessment
Data, such as：Data including test period and number of faults simultaneously；It is another kind of to can be used for instructing later stage accelerated test scheme
Formulate, such as：The data described simultaneously including experimental enviroment condition and phenomenon of the failure.
Reliability is used for determining according to a preliminary estimate the time of the early fault period in electric energy meter life cycle, corresponding tub curve
On t1The position of point.Early fault period is that electric energy meter must avoid, such as, electric energy meter producer treats to all or overwhelming majority
The purpose that the electric energy meter that dispatches from the factory carries out degradation is exactly to reject initial failure defective work.Entry evaluation tries producer's burn-in screen
Evaluating of the result percent of pass (in the case where extracting same percentage) as reliability stage according to a preliminary estimate is tested, it is determined that can
By the evaluation criterion of the estimated link of property.It is third that evaluation result is divided into A, B, C.Such as：Producer's result of the test qualification rate 100% is
A etc., qualification rate more than 99% are B etc., and qualification rate more than 98% is C etc..
(3) reliability compliance test：The supply of material carries out reliability compliance test in laboratory conditions when checking and accepting, and provides inspection
Report, the link evaluation result is provided according to assay；
Sample is extracted from supply of material batch, carries out reliability compliance test.A such as typical reliability compliance test
Scheme：Apply line voltage ± 20% during experiment, apply fundamental current Ib, test specimen 42, vertical operating position, experiment is most
70 DEG C of high-temperature, humidity 85%, test period 39 days, point three cycles are carried out：In a cycle (13 days), temperature 70 C,
Humidity 85% applies half period；- 20 DEG C of temperature, humidity 85% is kept to apply half period again.Pilot project is：A) it is basic to miss
Difference experiment (order gradually reduced by load current is measured)；B) false actuation test；C) starting test；D) error of time of day tries
Test；E) AC voltage test；F) communication protocol accordance is tested；G) safety certification is tested；H) 70%~120% rated voltage
When, on-load switch breaker tripping and closing experiment；I) power consumption.Failure number r is counted in units of sample, initial value 0；Same sample is existed
It is unqualified that one or more pilot projects occur in reliability test link, are calculated as a failure sample, now failure number r
Increase by 1.During experiment, work as r>2, experiment stops, and judges that this batch of sample reliability test is unqualified.Experiment cut-off when, when r≤
2, judge that this batch of sample reliability test is qualified.Survey report is provided after off-test.
Reliability compliance test is used for the examination of batch electric energy meter, examines whether the reliability of electric energy meter meets national mark
It is accurate.As a result there was only qualified and unqualified two kinds of situations.Reliability compliance test result determines commenting for the link according to examination situation
Price card is accurate.Qualified check and acceptance result is A etc., and unqualified check and acceptance result is directly C etc..
(4) accelerated degradation test：Accelerated degradation test is carried out according to the methods of GB/T 17215.931, calculates each group stress
Under each failure mode Weibull distribution parameters, accelerated factor and Reliability Function, obtain pseudo- burn-out life and the mistake of electric energy meter
Imitate curve t1To t2Between accidental section, according to the parameter of the segment fault curve (crash rate, tub curve t1、t2Value) provide
The link evaluation result；
The purpose of accelerated degradation test is t on tub curve to be determined1、t2Between random failure period curve, it is represented
During normal use, the deterioration law of batch electric energy meter.
Accelerated degradation test job step includes：1) batch ammeter cluster sampling 42 will be tested, it is warm and humid to be put into walk-in type
Chamber is spent, and it is connected with the standard electric energy meter outside casing.When setting test temperature, humidity, circulation time, experiment cut-off
Between.All failures if all samples before ending in experiment, then experiment stopping when last failure occurs；2) try
Project is examined and determine when testing as defined in standard JJG 596-2012 continuously to detect electric energy meter, and the electric energy meter of record failure in real time
Fault type and time of failure TTFi, subscript i expression failure serial numbers.The classification of fault type will be specific to mould
Block；3) according to fail data (corresponding TTFi) calculate the failpoint seat on log-log paper of the Weibull failure curve after linearizing
Mark (xi,yi), and described point：
xi=lnTTFi
yi=ln (- ln (1-F (t)))
Parameter A in Weibull failure curve y=A+Bx after being linearized with the least square fitting curve and
B, then pass through linearization equations：
A=- β ln η
B=β
Try to achieve parameter beta, η.Wherein β is the form parameter of Weibull failure curve, and η is that the scale of Weibull failure curve is joined
Number.Finally give the Weibull Function (failure curve) of the unreliable degree of batch electric energy meter in test：
γ is the original position of Weibull failure curve；4) estimating test accelerated factor AF：
Wherein：N and EaFor fitting parameter, can be drawn by fitting；RHuFor medial humidity under actual condition；RHsIt is flat to test
Equal humidity；TuFor mean temperature under actual condition；TsTo test mean temperature；5) according in the accelerated factor and experiment calculated
The Weibull Function (failure curve) of unreliable degree extrapolate pseudo- burn-out life, carry out pseudo- time burn-out life conversion, obtain
To the Weibull Function of actual unreliable degree.
In view of reliability function：
R (t)=1-F (t)=e-λt
Wherein, λ is the crash rate of electronic product.The reliability function so represented, it is to be approximately considered crash rate as a perseverance
Determine λ failure period, correspond to random failure period on the bathtub curve.The original position in the period should correspond to tub curve t1
Moment.On the other hand, accelerated degradation test can't reach loss failure period, therefore its end position is the t of tub curve2Point
Near.Constant crash rate means the t of tub curve1、t2It is a straight line between moment, and under actual conditions, should be close to water
A flat curve.Therefore, the amendment on a slope is done to the straight line in accelerated degradation test link：The starting point of straight line takes always
Change experiment aging curve end point, then with t2Point line, the correction result can produce three kinds of phenomenons：The slope of curve is more than 1, etc.
In 1 (crash rate is invariable), and less than 1.The slope of curve is more than 1 and represents that catagen speed is more and more faster, represents to degenerate less than 1
Speed is slower and slower.The evaluation table of accelerated degradation test is：
The evaluation table of the accelerated degradation test of form 1
(5) live data analysis：In running after electric energy meter takes on, quality surveillance is carried out to meter, collects fortune
Row meter puts into operation time, operation conditions, running environment data.When an error occurs, bug list, analyzing failure cause and mistake are collected
Imitate mechanism, statistics crash rate.According to statistics and crash rate result of calculation is further to failure rate characteristic is corrected, and is changed
T afterwards2, the failure curve of loss failure period is determined, the link evaluation result is determined according to correction result.
Live data analysis job step：1) reliability level counts：According to the same batch that puts into operation, same producer, same
Type statistics intelligent electric energy meter in-site installation quantity, labeled bracketing is completed according to use environment (coastal, inland, indoor and outdoor),
And all kinds of number of faults, time of origin point (summer, winter) etc. are counted, complete statistics.2) event of site intelligent electric energy meter is completed
Record, failure sample collection and the failure mode for hindering phenomenon are concluded, and are prepared for Analysis of Failure Mechanism.3) failure mechanism point
Analysis：The reason for failure is found by Analysis of Failure Mechanism and the generating process of failure, so that it is determined that the sensitive stress of failure, together
When, by the same batch that puts into operation, same producer, same type intelligent electric energy meter data comparison determine the failure be demblee form or
Involution form.If demblee form, handle as exponential distribution, year crash rate be a definite value；If involution form, according to
Pseudo- life prediction is carried out according to Key Performance Indicator Degradation path.4) calculated according to fail data and readjust tub curve.
For example, to find that wherein several electric energy meters produce daily after operation a period of time small for certain electric energy meter batch taken on
The phenomenon of the failure that electricity is had good luck.Live data analysis, which is operated in, has been completed the 1) step early stage, after pinpointing the problems, by provincial
DianKeYuan collects bug list, carries out failure mode conclusion having qualified laboratory, and carry out Analysis of Failure Mechanism.
Through analysis, questions and prospect is copper-manganese sampling circuit wire stranding defective tightness, over time, twisted to fluff, neighbouring electricity
The leakage field of energy table transformer can induce electric current in twisted loop, be to belong to technological problemses in production, from said module angle
It is the defects of belonging to sampling circuit to divide, while the problem still belongs to degradation failure type.Such quality problems simultaneously differ
Surely ejected by accelerated degradation test, therefore, the adjustment of pseudo- life prediction curve is carried out according to actual the problem of finding.
Field operational data and t on tub curve2The position relationship of point is more close.The crash rate that actual motion is broken down is superimposed
In the crash rate at the tub curve corresponding moment obtained after to accelerated degradation test：
Wherein, subscript t represents that the moment occurs for failure；λtFor in the accidental section of failure curve that is obtained after accelerated degradation test
The crash rate of t；λ‘tFor the crash rate of the t after adjustment；α is regulation coefficient.
If the failure of same cause occurs in different time sections in this batch of electric energy meter, the moment occurs by upper in new failure
The method of stating is calculated.
If the failure of different reasons occurs in different time sections in this batch of electric energy meter, the moment occurs by upper in new failure
The method of stating is calculated.
If there is the failure of different reasons in same time period in this batch of electric energy meter, that is to say, that at the same occur two kinds or
Two or more phenomena of the failure, then：
Wherein, α1To hinder the regulation coefficient of 1 failure electric energy meter, α for some reason2To hinder the regulation coefficient of 2 failure electric energy meters for some reason,
The like；Line quality monitoring constantly is entered to operation ammeter, it is found that intelligent fault electric energy meter is handled as stated above in time；
The field operational data analysis phase is according to obtained λ 'tValue carries out the amendment of failure curve, still with aging curve
Terminal is as starting point, with (λ 't, t) coordinate be terminal mapping；If any multiple (λ 't, t), then carry out curve plan with least square method
Close.Revised t2There is certain displacement the relatively original position of point.The reliability of field data link is carried out according to the displacement
Evaluation：
The field data link reliability evaluation table of form 2
| t2The relative displacement of point | ≤ 1% | 1%<t2Relative displacement≤2% of point | >2% |
| Opinion rating | A etc. | B etc. | C etc. |
(6) overall merit：Combined reliability is estimated, reliability entry evaluation, reliability compliance test, accelerates examination of degenerating
Test, field operational data establishes intelligent electric energy meter reliability comprehensive estimation model, complete intelligent electric energy meter reliability synthesis comment
Valency.
Using expert interview, by combined reliability is estimated, reliability entry evaluation, reliability compliance test, acceleration are moved back
Change experiment, field operational data distribution weight index, the extraction index system related to reliability quality management, to look into value table
Form realizes the design to each index score by rules.According to grade form and batch electric energy meter in reliability evaluation of each link etc.
Level, given a mark to batch electric energy meter, finally give electric energy meter Reliability Synthesis evaluation result.
Claims (7)
1. the method for single-phase intelligent electric energy meter Reliability Synthesis evaluation, it is characterised in that：Comprise the following steps：
(1) reliability prediction：It is related according to the component inventory, component design parameter, reliability of this batch intelligent electric energy meter
Countermeasures or/and design principle figure related data, method for predicting, estimated handbook and Prediction Model are selected to intelligent electric energy
Table carries out reliability prediction, provides reliability prediction report, determines the Phase Evaluation result；
(2) reliability is according to a preliminary estimate：Reliability test, environmental test and the burn-in screen examination provided based on intelligent electric energy meter producer
Data are tested, the reliability for carrying out intelligent electric energy meter according to a preliminary estimate, determines the Phase Evaluation result, obtains aging curve；
(3) reliability compliance test：The supply of material carries out reliability compliance test in laboratory conditions when checking and accepting, and provides inspection report
Accuse, the Phase Evaluation result is provided according to assay；
(4) accelerated degradation test：Accelerated degradation test is carried out according to the methods of GB/T 17215.931, is calculated each under each group stress
Weibull distribution parameters, accelerated factor and the Reliability Function of failure mode, obtain pseudo- burn-out life and the mistake of intelligent electric energy meter
The accidental section of curve is imitated, the Phase Evaluation result is provided according to the parameter of the segment fault curve；
(5) field operational data is analyzed：In intelligent electric energy meter running, quality surveillance is carried out to intelligent electric energy meter, collected
Run time of putting into operation, operation conditions and the running environment data of intelligent electric energy meter；When an error occurs, intelligent fault electric energy is collected
Table, analyzing failure cause and failure mechanism, crash rate is counted, failure curve is done into one according to statistics and crash rate result of calculation
The amendment of step, the Phase Evaluation result is determined according to correction result；
(6) overall merit：Combined reliability is estimated, reliability entry evaluation, reliability compliance test, accelerated degradation test and existing
Field service data establishes intelligent electric energy meter reliability comprehensive estimation model, completes the overall merit of intelligent electric energy meter reliability；
Will be through reliability prediction, reliability entry evaluation, reliability compliance test, accelerated degradation test and field operational data point
The fail data and failure curve, two time parameter t of failure curve of the last gained of five links of analysis1、t2Establish quantitative connection
System, wherein, t1For early fault period and random failure period separation, t2For random failure period and the separation of wear-out failure period；
In the reliability entry evaluation stage, t is primarily determined that according to the result that burn-in screen is tested1The position of point；Examination of degenerating will be accelerated
The end position for the accidental section of failure curve that the stage of testing obtains tentatively is set to the t of failure curve2Point position, connects t1、t2, obtain
Failure curve random failure period after amendment once；The crash rate that the field operational data analysis phase breaks down actual motion
It is added in the crash rate at the accidental section of the failure curve corresponding moment obtained after accelerated degradation test, is adjusted rear t
Crash rate：
Wherein, subscript t represents that the moment occurs for failure；λtFor t in the accidental section of failure curve that is obtained after accelerated degradation test
Crash rate；λ′tFor the crash rate of the t after adjustment；α is regulation coefficient；
If the failure of same cause occurs in different time sections in this batch of intelligent electric energy meter, the moment occurs by upper in new failure
The method of stating is calculated；
If the failure of different reasons occurs in different time sections in this batch of intelligent electric energy meter, the moment occurs by upper in new failure
The method of stating is calculated；
If there is the failure of different reasons in same time period in this batch of intelligent electric energy meter, that is to say, that at the same occur two kinds or
Two or more phenomena of the failure, then the crash rate of t is calculated as follows after adjusting：
Wherein, a1 is the regulation coefficient of the failure of barrier 1 electric energy meter for some reason, and a2 is the regulation coefficient of the failure of barrier 2 electric energy meter for some reason, successively
Analogize；Line quality monitoring constantly is entered to operation ammeter, it is found that intelligent fault electric energy meter is handled as stated above in time；
The field operational data analysis phase is according to obtained λ 'tValue carries out the amendment of failure curve, is still made with the terminal of aging curve
For starting point, with (λ 't, t) coordinate be terminal mapping；If any multiple (λ 't, t), then carried out curve fitting with least square method.
2. the method for single-phase intelligent electric energy meter Reliability Synthesis evaluation according to claim 1, it is characterised in that：Reliability
Intended result determines the evaluation criterion in reliability prediction stage according to mean time to failure value Calculation Estimation parameter.
3. the method for single-phase intelligent electric energy meter Reliability Synthesis evaluation according to claim 1, it is characterised in that：Extracting
In the case of same percentage, entry evaluation is using producer's burn-in screen result of the test percent of pass as reliability stage according to a preliminary estimate
Evaluating, determine the evaluation criterion in reliability prediction stage.
4. the method for single-phase intelligent electric energy meter Reliability Synthesis evaluation according to claim 1, it is characterised in that：Reliability
Checking test result determines the evaluation criterion in the stage according to examination situation；Qualified check and acceptance result is A etc., and check and acceptance result is unqualified
It is directly C etc..
5. the method for single-phase intelligent electric energy meter Reliability Synthesis evaluation according to claim 1, it is characterised in that：Acceleration is moved back
Changing the evaluation table tested is：
6. the method for single-phase intelligent electric energy meter Reliability Synthesis evaluation according to claim 1, it is characterised in that：After amendment
T2There is certain displacement the relatively original position of point, and the reliability that the field operational data analysis phase is carried out according to the displacement is commented
Valency：
7. the method for single-phase intelligent electric energy meter Reliability Synthesis evaluation according to claim 1, it is characterised in that：Step
(6), integrated evaluating method is：Using expert interview, by combined reliability is estimated, reliability entry evaluation, reliability demonstration
Experiment, accelerated degradation test and field operational data distribution weight index, the extraction index body related to reliability quality management
System, the design to each index score by rules is realized in the form of looking into value table；According to grade form and batch electric energy meter in each link
Reliability evaluation grade, give batch electric energy meter marking, finally give electric energy meter Reliability Synthesis evaluation result.
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