CN108182311A - A kind of communication for command equipment dependability appraisal procedure based on accelerated life test - Google Patents
A kind of communication for command equipment dependability appraisal procedure based on accelerated life test Download PDFInfo
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- CN108182311A CN108182311A CN201711419754.0A CN201711419754A CN108182311A CN 108182311 A CN108182311 A CN 108182311A CN 201711419754 A CN201711419754 A CN 201711419754A CN 108182311 A CN108182311 A CN 108182311A
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- G—PHYSICS
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Abstract
The present invention discloses a kind of communication for command equipment dependability appraisal procedure based on accelerated life test, by determining environmental stress, determine electric stress, determine environmental stress accelerated life model, determine electric stress accelerated life model, accelerated life test section determines, equipment detection, the step of equipment fault analysis, maintenance penalty analysis and life appraisal and the analysis of equipment weak link and reliability improve is realized.It is of the invention effectively to judge to restrict the weak element that equipment uses, according to the opportunity that failure occurs, the fault time of equipment weak element is estimated, support is provided for maintenance project and the formulation of maintenance and repair parts deposit scheme.
Description
Technical field
The present invention relates to a kind of electronic equipment reliability estimation method, particularly a kind of commander based on accelerated life test
Reliability of communication equipment appraisal procedure.
Background technology
Communication for command equipment has specific projected life, replaces new equipment if reaching projected life, will result in
The waste of the existing equipment surplus value reduces the economy that equipment uses.But with the increase of equipment in-service time, failure rate
It gradually rises, reduces the reliability of equipment.If it can determine the component and reasonable arrangement spare part for restricting service life of equipment
And safeguard, the maintenance of equipment time can be shortened, and then improve the availability of equipment；The actual use longevity of the in-service equipment of accurate evaluation
Life, and batch replacement is carried out before it reaches service life, the reliability and economy use raising equipment has larger
Meaning.
The reliability design of communication for command equipment is ensured generally by component selection, using under specific environment
Degradation and routine test carry out reliability demonstration.The actual use natural environment complexity of equipment is harsh, mode of operation and electricity
Magnetic environment is various, differs greatly with reliability demonstration environment, causes the failure rate of communication for command equipment, actual life with setting
Meter is not inconsistent, and difficulty is brought to the maintenance and health control of equipment.The specifically used service life of equipment, which need to combine it, practical to be made
Quantizing examination verification is carried out with environment.For the actual life of accurate evaluation active service communication for command equipment and reasonable arrangement is standby
Part and maintenance, it is proposed that the communication for command equipment dependability appraisal procedure based on accelerated life test.
Invention content
Present invention aims at providing a kind of communication for command equipment dependability appraisal procedure based on accelerated life test,
Reliability assessment is insufficient, operates with environmental change under solution specific environment causes maintenance of equipment insufficient and maintenance and repair parts stores up
The problem of standby insufficient.
A kind of communication for command equipment dependability appraisal procedure based on accelerated life test the specific steps are：
The first step determines environmental stress
Lengthened the life according to storage theoretical theoretical with accelerated life test, determined with reference to the practical service environment of communication for command equipment
Influence the environmental stress of service life of equipment.Communication for command equipment working environment complexity is various, needs the specific peace according to equipment
Holding position, ambient enviroment determine to influence the environmental stress of service life.The determining reference class of the stress is like the failure and mistake equipped
Effect analytical conclusions determine.In the space that shelter class is relatively clean, the environmental stress of service life of equipment is influenced, including：It is temperature, wet
Degree, vibration, air pressure and salt fog；Exposed environment is operated in, considers to increase dust storm stress.
Statistical analysis varying environment stress is in equipment period of storage and duration and stress intensity amplitude in the working time, shape
The actual use section of forming apparatus.
Second step determines electric stress
Electric stress, including：Voltage stress, power and switching pulse, actual measured value or use of the stress with reference to equipment
Condition determines that the working range that also can refer to equipment requires to be determined.
Third step determines environmental stress accelerated life model
According to the actual service conditions of equipment, the service life of equipment is divided into storage life and working life.Influence is set
The stress of standby storage life is environmental stress, including：It is vibrated when temperature, humidity, air pressure and transport；Influence service life of structure
Combined stress of the stress for environmental stress and electric stress.
Using Arrhenius, i.e. Arrhenius models are represented temperature stress in storage life with formula (1)：
In formula (1), ε is the service life；EaFor activation energy, related with material, unit is an electron-volt eV, according to influence electronics
The activation of the main components of equipment life can determine that；K is Boltzmann constant, is 8.617 × 10‐5eV/K；T is absolutely temperature
Degree；Λ is the normal number related with product characteristic, geometry, test method.
Accelerated factor AF (T) is represented with formula (2)：
In formula (2), T0To work normally absolute temperature, unit K；T be accelerated storage absolute temperature, unit K.
Corresponding accelerated aging time t is obtained according to practical period of storage1, represented with formula (3)：
In formula (3), t0For running time.
For the temperature stress in standby using circulating temperature stress, the high temperature acceleration time uses Arrhenius relationship
It is calculated, cycle-index is estimated using Coffin-Manson models, i.e.,
In formula (4), N is cycle-index；Δ T is the difference of temperature cycles upper and lower limit temperature；α is that the plasticity of material refers to
Number, takes 1.4-2；C is constant.
Then,
In formula (5), N0For temperature cycle times in real work；N1Accelerate Posterior circle number for temperature；ΔT0For reality
The temperature difference；ΔT1The temperature difference used for accelerated test.
The effect of product meeting stress vibrated in transportational process, using based on Palmgren-Miner accumulated damages standard
Vibration accelerated life model then.I.e.
In formula (6), t0For time of vibration；t12For the equivalent acceleration time；S0It is composed for vibration amplitude in practical service environment；
S1It is composed for Acceleration study vibration amplitude；M be and the relevant value of S-N Curve slope.
Humidity modification uses antipower law accelerated life model, i.e.,
ε=AS-c (7)
In formula (7), ε is the service life；A is a normal number；C is a normal number related with activation energy；S is stress water
It is flat.
4th step determines electric stress accelerated life model
Electric stress, including：Voltage stress, power and switching pulse.
For voltage stress using the inverse power rate accelerated life model shown in formula (7), the selection of voltage range need to set
In standby normal range of operation.
For power stress, the actual condition for needing bonding apparatus required when using considers the load of equipment and different work(
Working time ratio under rate is designed.
Switching pulse stress apparatus for checking is in the endurance quality of moment that is powered.On-off times when being used according to physical device
Carry out 1 to 1 simulating examination.
5th step accelerated life test section determines
According to environmental stress determined above, electric stress and corresponding accelerated life model, the annual reality of bonding apparatus
Border Usage profile determines the year accelerated life test section of the equipment.In actual environment, equipment can be by the comprehensive of a variety of stress
It closes and applies, determine accelerated life test section by the way of a variety of integrated stress applications in accelerated life test section.
6th step equipment detects
During accelerated life test, the detection opportunity of equipment is：Before experiment, after experiment neutralization test.Reasonable arrangement
Detection opportunity, state of effective testing equipment during experiment.When the function and performance indicator of equipment are unsatisfactory for requiring, into
Row accident analysis.
7th step equipment fault analysis
It uses for reference parsimonious covering theory and establishes the correspondence of fault signature collection and source of trouble set, and then find out failure
Source.Different fault signatures corresponds to different source of trouble set, use for reference parsimonious covering theory obtain best fault signature with
The correspondence of the source of trouble.It is as follows using parsimonious covering theory analytic process：
If F represents the fault signature set that equipment may occur, | F | possible fault signature number is represented, then failure is sent out
Life shares 2FKind possibility.Each possibility is considered as a subset F of FI.Work as FI={ f1,f2,…,fnRepresent that failure is special
Levy { f1,f2,…,fnWhen breaking down, and otherFailure do not occur then.Solve the problems, such as multi-fault Diagnosis in equipment
It is exactly all 2FMost probable combination is found in a possibility.It is best to find using symbolic reasoning-saving covering theory
Combination.
It is that a kind of using abductive inferencing to illustrate diagnostic expert system theoretical to save covering theory.It will diagnosis problem description
For four-tuple P=＜ a F, A, R, A+＞, wherein
F={ f1,f2,…,fnRepresent fault signature finite nonempty set；
A={ a1,a2,…,anRepresent the source of trouble finite nonempty set；
Expression is defined on the ordering relationship subset on F × A；
Source of trouble set known to expression.
Direct causality between symbol R representing faults feature and the source of trouble, ＜ fi,aj＞ ∈ R represent fiIt may be by aj
Cause, it is not offered as working as fiIn the presence of ajAlways occur, and be only possibility.A+It is a special subset of A, represents
The known existing feature under a particular problem, not in A+Feature be regarded as what is be not present.
In addition, define two functions：For all aj∈ A, parts (aj)={ fi| ＜ fi,aj＞ ∈ R } representing fault source
ajFault signature caused by it is possible that, features (fi)={ aj| ＜ fi,aj＞ ∈ R } represent may cause fault signature fi
All sources of trouble.It defines simultaneouslyWithWhenWhen, then claim fault signature set FIIt is characteristic valueOne covering.
Using minimum criteria, i.e.,：Work as A+One covered with it is minimum may number failure when, it is exactly one and meets most
The explanation of small rule determines that each failure corresponds to minimum source of trouble covering in equipment.
8th step maintenance penalty is analyzed and life appraisal
Failure is repaired, the performance of restorer, the maintenance penalty of analytical equipment, when maintenance penalty is smaller, after
It is continuous to carry out accelerated life test.Determine whether equipment reaches the service life according to the frequency of failure and the cost of repair replacement, into
And it determines complete machine and replaces opportunity.
9th step equipment weak link is analyzed and reliability improves
The failure and repair replacement measure occur to equipment during accelerated life test is analyzed, and determines to restrict equipment
The lifetime piece used, the opportunity occurred according to failure and the demand of equipment guarantee determine maintenance measure and the service life of equipment
Part replaces opportunity, to improve the reliability of equipment.
Effectively judgement of the invention restricts the weak element that equipment uses, and according to the opportunity that failure occurs, it is weak to estimate equipment
The fault time of component provides support for maintenance project and the formulation of maintenance and repair parts deposit scheme.
Specific embodiment
A kind of communication for command equipment dependability appraisal procedure based on accelerated life test the specific steps are：
The first step determines environmental stress
Lengthened the life according to storage theoretical theoretical with accelerated life test, determined with reference to the practical service environment of communication for command equipment
Influence the environmental stress of service life of equipment.Communication for command equipment working environment complexity is various, needs the specific peace according to equipment
Holding position, ambient enviroment determine to influence the environmental stress of service life.The determining reference class of the stress is like the failure and mistake equipped
Effect analytical conclusions determine.In the space that shelter class is relatively clean, the environmental stress of service life of equipment is influenced, including：It is temperature, wet
Degree, vibration, air pressure and salt fog；Exposed environment is operated in, considers to increase dust storm stress.
Statistical analysis varying environment stress is in equipment period of storage and duration and stress intensity amplitude in the working time, shape
The actual use section of forming apparatus.
Second step determines electric stress
Electric stress, including：Voltage stress, power and switching pulse, actual measured value or use of the stress with reference to equipment
Condition determines that the working range that also can refer to equipment requires to be determined.
Third step determines environmental stress accelerated life model
According to the actual service conditions of equipment, the service life of equipment is divided into storage life and working life.Influence is set
The stress of standby storage life is environmental stress, including：It is vibrated when temperature, humidity, air pressure and transport；Influence service life of structure
Combined stress of the stress for environmental stress and electric stress.
Using Arrhenius, i.e. Arrhenius models are represented temperature stress in storage life with formula (1)：
In formula (1), ε is the service life；EaFor activation energy, related with material, unit is an electron-volt eV, according to influence electronics
The activation of the main components of equipment life can determine that；K is Boltzmann constant, is 8.617 × 10‐5eV/K；T is absolutely temperature
Degree；Λ is the normal number related with product characteristic, geometry, test method.
Accelerated factor AF (T) is represented with formula (2)：
In formula (2), T0To work normally absolute temperature, unit K；T be accelerated storage absolute temperature, unit K.
Corresponding accelerated aging time t is obtained according to practical period of storage1, represented with formula (3)：
In formula (3), t0For running time.
For the temperature stress in standby using circulating temperature stress, the high temperature acceleration time uses Arrhenius relationship
It is calculated, cycle-index is estimated using Coffin-Manson models, i.e.,
In formula (4), N is cycle-index；Δ T is the difference of temperature cycles upper and lower limit temperature；α is that the plasticity of material refers to
Number, takes 1.4-2；C is constant.
Then,
In formula (5), N0For temperature cycle times in real work；N1Accelerate Posterior circle number for temperature；ΔT0For reality
The temperature difference；ΔT1The temperature difference used for accelerated test.
The effect of product meeting stress vibrated in transportational process, using based on Palmgren-Miner accumulated damages standard
Vibration accelerated life model then.I.e.
In formula (6), t0For time of vibration；t12For the equivalent acceleration time；S0It is composed for vibration amplitude in practical service environment；
S1It is composed for Acceleration study vibration amplitude；M be and the relevant value of S-N Curve slope.
Humidity modification uses antipower law accelerated life model, i.e.,
ε=AS-c (7)
In formula (7), ε is the service life；A is a normal number；C is a normal number related with activation energy；S is stress water
It is flat.
4th step determines electric stress accelerated life model
Electric stress, including：Voltage stress, power and switching pulse.
For voltage stress using the inverse power rate accelerated life model shown in formula (7), the selection of voltage range need to set
In standby normal range of operation.
For power stress, required actual condition when bonding apparatus uses considers load and the different capacity of equipment
Under working time ratio be determined.
Switching pulse stress apparatus for checking is in the endurance quality of moment that is powered.On-off times when being used according to physical device
Carry out 1 to 1 simulating examination.
5th step accelerated life test section determines
According to environmental stress determined above, electric stress and corresponding accelerated life model, the annual reality of bonding apparatus
Border Usage profile determines the year accelerated life test section of the equipment.In actual environment, equipment can be by the comprehensive of a variety of stress
It closes and applies, determine accelerated life test section by the way of a variety of integrated stress applications in accelerated life test section.
6th step equipment detects
During accelerated life test, the detection opportunity of equipment is：Before experiment, after experiment neutralization test.Reasonable arrangement
Detection opportunity, state of effective testing equipment during experiment.When the function and performance indicator of equipment are unsatisfactory for requiring, need
Carry out accident analysis.
7th step equipment fault analysis
It uses for reference parsimonious covering theory and establishes the correspondence of fault signature collection and source of trouble set, and then find out failure
Source.Different fault signatures corresponds to different source of trouble set, use for reference parsimonious covering theory obtain best fault signature with
The correspondence of the source of trouble.It is as follows using parsimonious covering theory analytic process：
If F represents the fault signature set that equipment may occur, | F | possible fault signature number is represented, then failure is sent out
Life shares 2FKind possibility.Each possibility is considered as a subset F of FI.Work as FI={ f1,f2,…,fnRepresent that failure is special
Levy { f1,f2,…,fnWhen breaking down, and otherFailure do not occur then.Solve the problems, such as multi-fault Diagnosis in equipment
It is exactly all 2FMost probable combination is found in a possibility.It is best to find using symbolic reasoning-saving covering theory
Combination.
It is that a kind of using abductive inferencing to illustrate diagnostic expert system theoretical to save covering theory.It will diagnosis problem description
For four-tuple P=＜ F, A, R, A+ a ＞, wherein
F={ f1,f2,…,fnRepresent fault signature finite nonempty set；
A={ a1,a2,…,anRepresent the source of trouble finite nonempty set；
Expression is defined on the ordering relationship subset on F × A；
Source of trouble set known to expression.
Direct causality between symbol R representing faults feature and the source of trouble, ＜ fi,aj＞ ∈ R represent fiIt may be by aj
Cause, it is not offered as working as fiIn the presence of ajAlways occur, and be only possibility.A+It is a special subset of A, represents
The known existing feature under a particular problem, not in A+Feature be regarded as what is be not present.
In addition, define two functions：For all aj∈ A, parts (aj)={ fi| ＜ fi,aj＞ ∈ R } representing fault source
ajFault signature caused by it is possible that, features (fi)={ aj| ＜ fi,aj＞ ∈ R } represent may cause fault signature fi
All sources of trouble.It defines simultaneouslyWithWhenWhen, then claim fault signature set FIIt is characteristic valueOne covering.
Using minimum criteria, i.e.,：Work as A+One covered with it is minimum may number failure when, it is exactly one and meets most
The explanation of small rule determines that each failure corresponds to minimum source of trouble covering in equipment.
8th step maintenance penalty is analyzed and life appraisal
Failure is repaired, the performance of restorer, the maintenance penalty of analytical equipment, when maintenance penalty is smaller, after
It is continuous to carry out accelerated life test.Determine whether equipment reaches the service life according to the frequency of failure and the cost of repair replacement, into
And it determines complete machine and replaces opportunity.
9th step equipment weak link is analyzed and reliability improves
The failure and repair replacement measure occur to equipment during accelerated life test is analyzed, and determines to restrict equipment
The lifetime piece used, the opportunity occurred according to failure and the demand of equipment guarantee determine maintenance measure and the service life of equipment
Part replaces opportunity, to improve the reliability of equipment.
Claims (1)
1. a kind of communication for command equipment dependability appraisal procedure based on accelerated life test, it is characterised in that the specific steps are：
The first step determines environmental stress
Lengthened the life according to storage theoretical theoretical with accelerated life test, determine to influence with reference to the practical service environment of communication for command equipment
The environmental stress of service life of equipment；Communication for command equipment working environment complexity is various, needs the specific installation position according to equipment
It puts, ambient enviroment determines to influence the environmental stress of service life；The determining reference class of the stress is like the failure and failure point equipped
Analysis conclusion determines；In the space that shelter class is relatively clean, the environmental stress of service life of equipment is influenced, including：Temperature, humidity,
Vibration, air pressure and salt fog；Exposed environment is operated in, considers to increase dust storm stress；
Statistical analysis varying environment stress is set in equipment period of storage and duration in the working time and stress intensity amplitude, formation
Standby actual use section；
Second step determines electric stress
Electric stress, including：Voltage stress, power and switching pulse, the stress is with reference to the actual measured value or use condition of equipment
It determines, the working range that also can refer to equipment requires to be determined；
Third step determines environmental stress accelerated life model
According to the actual service conditions of equipment, the service life of equipment is divided into storage life and working life；Influence equipment storage
The stress for depositing the service life is environmental stress, including：It is vibrated when temperature, humidity, air pressure and transport；Influence the stress of service life of structure
Combined stress for environmental stress and electric stress；
Using Arrhenius, i.e. Arrhenius models are represented temperature stress in storage life with formula (1)：
In formula (1), ε is the service life；EaFor activation energy, related with material, unit is an electron-volt eV, according to influence electronic equipment
The activation of the main components in service life can determine that；K is Boltzmann constant, is 8.617 × 10‐5eV/K；T is absolute temperature；Λ
For the normal number related with product characteristic, geometry, test method；
Accelerated factor AF (T) is represented with formula (2)：
In formula (2), T0To work normally absolute temperature, unit K；T be accelerated storage absolute temperature, unit K；
Corresponding accelerated aging time t is obtained according to practical period of storage1, represented with formula (3)：
In formula (3), t0For running time；
For the temperature stress in standby using circulating temperature stress, the high temperature acceleration time is carried out using Arrhenius relationship
It calculates, cycle-index is estimated using Coffin-Manson models, i.e.,
In formula (4), N is cycle-index；Δ T is the difference of temperature cycles upper and lower limit temperature；α is the plasticity index of material, is taken
1.4—2；C is constant；
Then,
In formula (5), N0For temperature cycle times in real work；N1Accelerate Posterior circle number for temperature；ΔT0For practical temperature
Difference；ΔT1The temperature difference used for accelerated test；
The effect of product meeting stress vibrated in transportational process, using based on Palmgren-Miner accumulated damage criterion
Vibrate accelerated life model；I.e.
In formula (6), t0For time of vibration；t12For the equivalent acceleration time；S0It is composed for vibration amplitude in practical service environment；S1For
Acceleration study vibration amplitude is composed；M be and the relevant value of S-N Curve slope；
Humidity modification uses antipower law accelerated life model, i.e.,
ε=AS-c (7)
In formula (7), ε is the service life；A is a normal number；C is a normal number related with activation energy；S is stress level；
4th step determines electric stress accelerated life model
Electric stress, including：Voltage stress, power and switching pulse；
For voltage stress using the inverse power rate accelerated life model shown in formula (7), the selection of voltage range need to be in equipment
In normal range of operation；
For power stress, required actual condition when bonding apparatus uses, under the load and the different capacity that consider equipment
Working time ratio is determined；
Switching pulse stress apparatus for checking is in the endurance quality of moment that is powered；On-off times when being used according to physical device carry out
1 to 1 simulating examination；
5th step accelerated life test section determines
According to environmental stress determined above, electric stress and corresponding accelerated life model, bonding apparatus is annual actually to be made
The year accelerated life test section of the equipment is determined with section；In actual environment, equipment can be applied by the synthesis of a variety of stress
Add, determine accelerated life test section by the way of a variety of integrated stress applications in accelerated life test section；
6th step equipment detects
During accelerated life test, the detection opportunity of equipment is：Before experiment, after experiment neutralization test；Reasonable arrangement detects
Opportunity, state of effective testing equipment during experiment；When the function and performance indicator of equipment are unsatisfactory for requiring, event is carried out
Barrier analysis；
7th step equipment fault analysis
It uses for reference parsimonious covering theory and establishes the correspondence of fault signature collection and source of trouble set, and then find out the source of trouble；No
Same fault signature corresponds to different source of trouble set, uses for reference parsimonious covering theory and obtains best fault signature and the source of trouble
Correspondence；It is as follows using parsimonious covering theory analytic process：
If F represents the fault signature set that equipment may occur, | F | possible fault signature number is represented, then failure occurs altogether
Have 2|F|Kind possibility；Each possibility regards a subset F of F asI；Work as FI={ f1,f2,…,fnRepresent fault signature { f1,
f2,…,fnWhen breaking down, and otherFailure do not occur then；Solve the problems, such as that multi-fault Diagnosis is exactly in equipment
All 2|F|Most probable combination is found in a possibility；Best group is found using symbolic reasoning-saving covering theory
It closes；
It is that a kind of using abductive inferencing to illustrate diagnostic expert system theoretical to save covering theory；Diagnosis problem is described as one by it
A four-tuple P=＜ F, A, R, A+＞, wherein
F={ f1,f2,…,fnRepresent fault signature finite nonempty set；
A={ a1,a2,…,anRepresent the source of trouble finite nonempty set；
Expression is defined on the ordering relationship subset on F × A；
Source of trouble set known to expression；
Direct causality between symbol R representing faults feature and the source of trouble, ＜ fi,aj＞ ∈ R represent fiIt may be by ajCause,
It is not offered as working as fiIn the presence of ajAlways occur, and be only possibility；A+It is a special subset of A, represents one
Known existing feature, is not regarded as what is be not present in the feature of A+ under a particular problem；
In addition, define two functions：For all aj∈ A, parts (aj)={ fi| ＜ fi,aj＞ ∈ R } representing fault source ajInstitute
Fault signature caused by it is possible that, features (fi)={ aj| ＜ fi,aj＞ ∈ R } represent may cause fault signature fiInstitute
Faulty source；It defines simultaneouslyWithWhenWhen, then claim fault signature set FIIt is characteristic valueOne covering；
Using minimum criteria, i.e.,：Work as A+One covered with it is minimum may number failure when, it is exactly one and meets minimum rule
Explanation then determines that each failure corresponds to minimum source of trouble covering in equipment；
8th step maintenance penalty is analyzed and life appraisal
Failure is repaired, the performance of restorer, the maintenance penalty of analytical equipment, when maintenance penalty is smaller, continue into
Row accelerated life test；Determine whether equipment reaches the service life according to the frequency of failure and the cost of repair replacement, and then really
Determine complete machine and replace opportunity；
9th step equipment weak link is analyzed and reliability improves
The failure and repair replacement measure occur to equipment during accelerated life test is analyzed, and determines that restricting equipment uses
Lifetime piece, according to failure occur opportunity and equipment guarantee demand determine equipment maintenance measure and lifetime piece more
Opportunity is changed, to improve the reliability of equipment.
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| CN110658393A (en) * | 2018-06-28 | 2020-01-07 | 中车株洲电力机车研究所有限公司 | Comprehensive evaluation method for accelerated life of electronic control device |
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| CN111239535A (en) * | 2020-03-23 | 2020-06-05 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Loading reliability acceleration test method for naval vessel electronic product |
| CN111579185A (en) * | 2020-04-08 | 2020-08-25 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Reliability acceleration test method and device for electronic equipment for submarine |
| CN112131722A (en) * | 2020-09-07 | 2020-12-25 | 中国人民解放军海军航空大学青岛校区 | Shipboard aircraft spare part prediction method based on service environment and task time |
| CN114062825A (en) * | 2021-11-24 | 2022-02-18 | 中国科学院微小卫星创新研究院 | Method for verifying service life of passive high-power device |
| CN114323427A (en) * | 2021-12-24 | 2022-04-12 | 中国电子科技集团公司第四十九研究所 | Multi-stress accelerated storage test method based on pressure sensor |
| CN114459544A (en) * | 2022-02-17 | 2022-05-10 | 中国电子科技集团公司第五十八研究所 | Evaluation method for comprehensive stress sand dust test of electronic product |
| CN115468759A (en) * | 2022-09-22 | 2022-12-13 | 中国核动力研究设计院 | Method for accelerated test of hot standby service life of electric valve |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003107059A1 (en) * | 2002-05-20 | 2003-12-24 | Song Miao | Laser production and product qualification via accelerated life testing based on statistical modeling |
| CN104048825A (en) * | 2014-05-28 | 2014-09-17 | 北京航空航天大学 | Multi-sensor fusion type fault locating method for gearbox of wind turbine generator |
-
2017
- 2017-12-25 CN CN201711419754.0A patent/CN108182311B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003107059A1 (en) * | 2002-05-20 | 2003-12-24 | Song Miao | Laser production and product qualification via accelerated life testing based on statistical modeling |
| CN104048825A (en) * | 2014-05-28 | 2014-09-17 | 北京航空航天大学 | Multi-sensor fusion type fault locating method for gearbox of wind turbine generator |
Non-Patent Citations (3)
| Title |
|---|
| JANNE KIILUNEN: "Development and Evaluation of Accelerated Environmental Test Methods for Products with High Reliability Requirements", 《TERPO.TUNI.FI/BITSTREAM/HANDLE/10024/113955/KIILUNEP.PDF?SEQUENCE=1&ISALLOWED》 * |
| 李海波等: "加速寿命试验方法及其在航天产品中的应用", 《强度与环境》 * |
| 罗冉冉: "单相智能电能表可靠性加速寿命试验研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
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