CN110375598A - One kind being directed to priming system product testing system analysis method for reliability - Google Patents
One kind being directed to priming system product testing system analysis method for reliability Download PDFInfo
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- CN110375598A CN110375598A CN201910499548.8A CN201910499548A CN110375598A CN 110375598 A CN110375598 A CN 110375598A CN 201910499548 A CN201910499548 A CN 201910499548A CN 110375598 A CN110375598 A CN 110375598A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F42—AMMUNITION; BLASTING
- F42B—EXPLOSIVE CHARGES, e.g. FOR BLASTING, FIREWORKS, AMMUNITION
- F42B35/00—Testing or checking of ammunition
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- General Engineering & Computer Science (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
Fire-working article test systems reliability analysis method provided by the invention is related to Space Pyrotechnics Devices product product quality detection field.The fire-working article test systems reliability analysis method includes: to propose a kind of reliability estimation method based on dynamic bayesian network for Space Pyrotechnics Devices product product flexibility test macro reliability.Space flight grade priming system has extreme requirement to reliability, it is necessary to reach 100%.Generally use ignition and test and determine firer's quality, however priming system belongs to disposable products, every batch of product can only finite sampling ignition test, to assess the total quality characteristic of product, test macro is the important leverage of accurate evaluation priming system reliability.Many kinds of due to Space Pyrotechnics Devices product product, different types of priming system has different test equipments, TCH test channel and parameter configuration.Test macro reliability and time and product task batch association, the dynamic bayesian network structure chart of test macro is established using dynamic bayesian network appraisal procedure, timing causality between different time piece and the causality in timeslice are combined, is dynamically analyzed and is predicted by quantifying reasoning.
Description
The present invention relates to Space Pyrotechnics Devices product product quality detection technique fields, and in particular to Space Pyrotechnics Devices product product test system
System analysis method for reliability.
Background technique
Space Pyrotechnics Devices product are indispensable important components in space flight system, various types of in one piece of rocket
Priming system quantity can achieve thousands of, and almost the movement of each and function realize that too busy to get away batch hangs over rocket whole body to rocket
Priming system.Any failure that priming system occurs all may cause space launch mission failure, or even the consequence of bringing on a disaster property；
Space Pyrotechnics Devices product belong to explosive class product, can only be disposable, lead to not all carry out ignition test to all products, can only
With the overall quality of limited ignition number reaction；Since Space Pyrotechnics Devices product are many kinds of, common Space Pyrotechnics Devices product are just up to
More than 1200 kinds, fire-working article test parameter is also just not quite similar, and this requires Space Pyrotechnics Devices product test macros to have comparable flexibility.
There are mainly two types of the approach for guaranteeing Space Pyrotechnics Devices quality now: manufacturing process is improved and outgoing test verification.Due to system
Make process modification verifying be also relied on quality test inspection as a result, so Space Pyrotechnics Devices quality test verification is increasingly important.
Space Pyrotechnics Devices product properties of product flexibility testing system is applied to the quality test of priming system product batches, to detect priming system product
The quality of production, ensure the zero-fault of Space Pyrotechnics Devices product, it is absolutely reliable.Currently, not yet proposing in the market a kind of for space flight fire
The analysis method of the reliability of work product test macro can not assess the reliability of test macro, therefore be badly in need of one kind and comment
Method is estimated to guarantee the reliability of Space Pyrotechnics Devices product test macro, and then ensures the high reliability of Space Pyrotechnics Devices product product, zero matter
Measure defect.
Summary of the invention
It is above-mentioned to solve the purpose of the invention is to provide a kind of priming system product testing system analysis method for reliability
Problem.
Therefore the present invention provides one kind and is applied to during Space Pyrotechnics Devices product product testing system quality test inspection technique,
The priming system product testing system analysis method for reliability includes: the priming system product test system for considering time and batch factor
The dynamic Bayesian network model and matrix switch channel optimal configuration method of system.
The dynamic Bayesian network model of the priming system product testing system for considering time and batch factor is to use
On the one hand dynamic bayesian network principle considers batch factor, the selection of the measuring instruments such as dynamic resistance strain instrument can be with production
The variation of product batch and change, dynamic Bayesian network model pass through based on batch driving establish；On the other hand consider the time
Factor, the instrument reliabilities such as D.C. regulated power supply change, dynamic Bayesian networks with the variation of time during the test
Network model based on time driving by being established.By establishing the dynamic Bayesian network model of nine subsystems come integrated entire system
The dynamic Bayesian network model of system, the reliability variation of real-time tracking priming system product testing system, assist operators sentence
The reliability of disconnected test macro.
Matrix switch channel optimal configuration method refers to that before priming system product test, matrix switch can be according to product
The characteristics of batch, selects Measurement channel by controlling the closing of relay, so that the reliability of test macro is optimal, protects
The reliability for hindering test macro in test process is still reliable when last sends out priming system product test.
Compared with prior art, a kind of priming system product testing system analysis method for reliability provided by the invention can be real
Now guarantee that the reliability of priming system product testing system is optimal before test, while the real-time tracking priming system product in test
Test macro reliability real-time change situation.Both new available channel can be distributed rationally, can also be judged with assist operators
The reliability of any time test macro, reduces hidden danger of quality, improves testing efficiency, has ensured the high quality of product.
Detailed description of the invention
In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out
Illustrate:
Fig. 1: priming system product ignition testing reliability block diagram
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it should be understood that the following specific embodiments are merely illustrative of the invention and are not intended to limit the scope of the invention.
On the one hand a kind of priming system product testing system analysis method for reliability considers the priming system of time and batch factor
The dynamic Bayesian network model of product testing system includes low resistance tester subsystem dynamic Bayesian network model, direct current
Regulated power supply subsystem dynamic Bayesian network model, detonation tester subsystem dynamic Bayesian network model, dynamic electric resistor
Deformeter subsystem dynamic Bayesian network model, target wire box subsystem dynamic Bayesian network model, photoamplifier subsystem
System dynamic Bayesian network model, matrix switch subsystem dynamic Bayesian network model, data collecting instrument subsystem dynamic shellfish
This network model of leaf and industrial personal computer subsystem dynamic Bayesian network model；
Further, low resistance tester subsystem, the D.C. regulated power supply subsystem, detonation set up based on time driving
The reliability of tester subsystem, data collecting instrument subsystem and industrial personal computer subsystem etc. is gradually dropped with the variation of time
It is low；
Further, dynamic resistance strain instrument subsystem, the target wire box subsystem, photoelectricity amplification set up based on batch driving
The reliability of device subsystem and matrix switch subsystem etc. changes, the reliability of different meter device with the variation of batch
It is not quite similar；
Further, the dynamic Bayesian network model of integrated priming system product testing system is in summary set up, in real time
The reliability of tracking testing system changes.
Another aspect matrix switch is before priming system product test with the method for arriving allocation optimum, and matrix switch is according to target
The input channels of the measuring instruments such as wire box, photoamplifier and dynamic resistance strain instrument configures output channel, with this by measuring instrument
The data that device obtains are transmitted to data collecting instrument, ensure that the reliability of test macro is optimal.SettingIt can for matrix switch
Lower limit value is required by property.With the progress of product test, the circuit reliability of matrix switch is generally downward trend.Therefore last
When one hair product is tested, test macro reaches reliability requirement, then during integral product, test macro also reaches can
It is required by property.If tsStart the time tested of being under fire, N for certain batch of productsFor this batch of product test quantity, PMS(Ns) it is that this batch produces
Product test the reliability of test macro before last hair product.To meet the needs of system integrated testability, PMS(Ns) meet:
Wherein, PminFor test macro reliability requirement lower limit, PLRT(ts), PPA(ts), PDC(ts), PIPC(ts), PTB(ts),
PDRSG(ts), PDS(ts) it is that other component is in the reliability of the initial time for test of being under fire in test macro, reliability is at any time
Dynamic change.After product test demand, target wire box, photoamplifier and dynamic resistance strain instrument connection are preset.It surveys
Matrix switch input channel thereby determines that δ before examination1,…,δ22.The route of matrix switch constrains are as follows:
This constraint condition is to guarantee that input channel and output channel match one by one, does not occur output channel and shares situation.It examines
Consider the working environment of matrix switch, each relay in matrix switch the problem of there may be agings, bad point, for failure
Dry-reed relay, set δnm=1, corresponding collection is combined into ΦMSN, then matrix switch to be optimized be
ΦMSY=ΦMS/ΦMSN (3)
Consider PMS(Ns) reliability maximize, construct following optimization problem:
s.t.(1),(2),(3)
Matrix switch device is dry-reed relay, and some kinds of priming system needs high current to trigger priming system, easily leads
The failure of dry-reed relay is caused, therefore occurs dry-reed relay failure case during the test and carries out two suboptimums in optimization problem
Change and solves.
Claims (8)
1. a kind of analysis method for reliability of priming system product testing system, it is characterised in that: it includes: to consider time and batch
The dynamic Bayesian network model and matrix switch channel optimal configuration method of the priming system product testing system of factor.
2. the dynamic Bayesian networks of the priming system product testing system according to claim 1 for considering time and batch factor
Network model, it is characterised in that subsystem modeling and the establishment subsystem modeling based on batch driving are set up based on time driving.
3. the subsystem according to claim 2 set up based on time driving, it is characterised in that: it includes: that low resistance is surveyed
Try instrument subsystem, D.C. regulated power supply subsystem, detonation tester subsystem, data collecting instrument subsystem and industrial personal computer subsystem
System.The low resistance tester subsystem is that resistance meter is accessed electricity of being under fire for passing through initiator during the test
Road measures product resistance value with this.The D.C. regulated power supply subsystem be for for detonation tester provide DC voltage and
Electric current is the energy source that product is under fire.The detonation tester subsystem is for providing hair to Special-purpose enclosed outburst container
Thermoelectricity stream.The data collecting instrument subsystem is the electric signal changed over time for recording each peripheral equipment conversion.It is described
Industrial personal computer subsystem is to help operator intuitively to judge for showing the data measured on visualization interface.
4. the subsystem according to claim 2 set up based on batch driving, it is characterised in that: it includes: dynamic electric resistor
Deformeter subsystem, target wire box subsystem, photoamplifier subsystem and matrix switch are in subsystem.The dynamic electric resistor is answered
Becoming instrument subsystem is to improve pressure sensor signal, amplify, and is sent into data collecting instrument record.The target wire box subsystem
It is that the time signal measured is sent into data collecting instrument record with photoamplifier subsystem.The matrix switch subsystem is
Realize the key that fire-working article test channel automatically configures, improves testing efficiency, reducing mistake.
5. the dynamic Bayesian networks of the priming system product testing system according to claim 2 for considering time and batch factor
Network model, it is characterised in that: low resistance tester accesses the resistance value that ignition circuit obtains product, and D.C. regulated power supply is arranged
Electric current and voltage carry out ignition ignition by the tester that detonates, and photoamplifier, target are accessed on the outburst instrument of Special-purpose enclosed
Wire box and dynamic resistance strain instrument measure time and the thrust/pressure when outburst with this, setting photoamplifier, target wire box and
The input channel of dynamic resistance strain instrument access matrix switch, matrix switch configure TCH test channel, will be surveyed by line converter
The signal of amount is transferred to data collecting instrument and is shown by industrial personal computer.
6. the dynamic Bayesian networks of the priming system product testing system according to claim 2 for considering time and batch factor
Network model, it is characterised in that: priming system product testing system is formed by nine set of subsystems.Different sub-systems are determined first
Probability before test, respectivelySecondly,
Determine the transition probability of different sub-systems；For time driving component, transition probability are as follows:
It drives and sets up for batch, transition probability are as follows:
Finally, establishing the conditional probability of subsystem.
7. the dynamic Bayesian networks of the priming system product testing system according to claim 6 for considering time and batch factor
Network model, it is characterised in that: the dynamic Bayesian network model set of nine different subsystem buildings is formed into entire firer
The dynamic Bayesian network model of product product not only changes with the variation of time, also adapts to the variation of product batches and becomes
Change, the situation of change of real-time tracking priming system product testing system reliability.
8. matrix switch channel according to claim 1 optimal configuration method, it is characterised in that: matrix switch includes input
Channel, relay switch and output channel, wherein input channel has 22, and channel m reliability is expressed asOutput channel
There are 14, channel n reliability is expressed asIndicate the relay switch of input channel m and output channel n connection
Reliability.Input channel is directly connect with target wire box, photoamplifier and dynamic resistance strain instrument, therefore the input of matrix switch
Depending on channel selecting is required by product test.The reliability of matrix switch are as follows:
Pass through the selection δ of relay switchnm=1, to realize the option and installment of output channel.Before product test matrix switch according to
The characteristics of test product batch, configures optimal output channel according to input channel by the closure of relay, so that priming system
The reliability of product is optimal, and ensures the reliability of priming system product testing system in test process.
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| CN113393146A (en) * | 2021-06-25 | 2021-09-14 | 重庆大学 | Multi-stage flexible test system reliability evaluation method based on Bayesian network |
| CN115016421A (en) * | 2022-07-27 | 2022-09-06 | 重庆大学 | Batch quality control method for flexible manufacturing of pressure powder in aerospace initiating explosive devices |
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