CN110532116A - A kind of System reliability modeling method and device - Google Patents
A kind of System reliability modeling method and device Download PDFInfo
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- CN110532116A CN110532116A CN201910646349.5A CN201910646349A CN110532116A CN 110532116 A CN110532116 A CN 110532116A CN 201910646349 A CN201910646349 A CN 201910646349A CN 110532116 A CN110532116 A CN 110532116A
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- G06F11/008—Reliability or availability analysis
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Abstract
The invention discloses a kind of System reliability modeling method and devices, wherein this method comprises: when acquisition system fault-free workpiece standard operational data；During system is from initialization moment to thrashing, real-time detection and the operational data for recording system workpiece；Using the standard operational data of workpiece as contrast standard, the fail data of workpiece is picked out from the operational data of workpiece；Wherein, fail data includes out-of-service time, failure cause and the failure number of workpiece；According to the fail data of workpiece, the failure curve figure of workpiece is drawn；According to the failure curve figure of workpiece, the crash rate of workpiece is calculated；According to the crash rate of workpiece, the reliability model of system is established.By the invention it is possible to the reliability detection of product systems be carried out for product currently in use, so that the service life for alloing user to predict that product can work normally in real time and product generate the time point of failure.
Description
Technical field
The present invention relates to system reliability detection field, in particular to a kind of System reliability modeling method and device.
Background technique
Electronic product is generally required when having produced factory by testing come the reliability of testing product system, so as to production
The performance parameter for every component that the service life and product systems of product include has more understandings.Existing reliability inspection
Surveying is typically all to carry out in laboratory simulation test environment, certain several product is specially selected in a collection of product as sample
Carry out reliability test, the reliability that the reliability of a collection of product is represented with the experimental result of sample, but is detected in this way
As a result accuracy is not strong, can not carry out reliability detection for each product, and for product currently in use, real
It tests the method for room testing product reliability and is not suitable for, the normal working life of product can not be thus predicted when product uses
And the time point that product breaks down.
Summary of the invention
The present invention provides a kind of System reliability modeling method and device, can carry out product for product currently in use
The reliability of system detects, so that the service life for alloing user to predict that product can work normally in real time and product generate failure
Time point.
According to an aspect of the invention, there is provided a kind of System reliability modeling method, comprising the following steps:
The standard operational data of workpiece when acquisition system fault-free；
During system is from initialization moment to thrashing, real-time detection and the work for recording system workpiece
Make data；
Using the standard operational data of the workpiece as contrast standard, selected from the operational data of the workpiece
The fail data of the workpiece out；Wherein, the fail data includes the out-of-service time of the workpiece, failure cause
And failure number；
According to the fail data of the workpiece, the failure curve figure of the workpiece is drawn；
According to the failure curve figure of the workpiece, the crash rate of the workpiece is calculated；
According to the crash rate of the workpiece, the reliability model of the system is established.
Preferably, it according to the crash rate of the workpiece, establishes after the reliability model of the system, this method is also
The following steps are included:
Detect the instant operational data when workpiece work of examining system；
Instant operational data when the workpiece of the examining system is worked inputs in the reliability model, obtains
The coefficient of reliability of the examining system.
Preferably, detect examining system workpiece work when instant operational data after, this method further include with
Lower step:
According to the failure curve figure of the workpiece, the bearing capacity of the workpiece is calculated；
Obtain the total load of the examining system；
Instant operational data when the workpiece of the examining system is worked inputs in the reliability model, obtains
The coefficient of reliability of the examining system, specifically: analyze the workpiece bearing capacity and the examining system it is total
Relationship between load, and the instant operational data when workpiece of the examining system is worked inputs the reliability mould
In type, the coefficient of reliability of the examining system is obtained.
Preferably, according to the failure curve figure of the workpiece, the crash rate of the workpiece is calculated, including following
Step:
According to the failure curve figure of the workpiece, the total number and total working duration of the workpiece are counted；
According to the failure curve figure of the workpiece, the number and each failure work department of statistics failure workpiece
The out-of-service time of part；
According to the calculation formula of crash rateCalculate the workpiece
Crash rate；Wherein, λ (t) indicates crash rate, and Δ n (t) indicates the number of failure workpiece, and Δ (t) indicates the work department
The total working duration of part, N indicate the total number of the workpiece, and ni indicates that failure workpiece, ti indicate failure work department
The out-of-service time of part ni.
According to another aspect of the present invention, a kind of System reliability modeling device is additionally provided, comprising:
Acquisition unit, the standard operational data of workpiece when for acquisition system fault-free；
First detection unit, for during system is from initialization moment to thrashing, real-time detection simultaneously to be remembered
The operational data of recording system workpiece；
Data module of selection, for the standard operational data using the workpiece as contrast standard, from the work department
The fail data of the workpiece is picked out in the operational data of part；Wherein, the fail data includes the workpiece
Out-of-service time, failure cause and failure number；
Drawing unit draws the failure curve figure of the workpiece for the fail data according to the workpiece；
First computing unit calculates the failure of the workpiece for the failure curve figure according to the workpiece
Rate；
Model foundation unit establishes the reliability model of the system for the crash rate according to the workpiece.
Preferably, a kind of System reliability modeling device further include:
Second detection unit, for the crash rate in the model foundation unit according to the workpiece, described in foundation
After the reliability model of system, the instant operational data when workpiece work of examining system is detected；
First acquisition unit, described in instant operational data input when for the workpiece of the examining system to work
In reliability model, the coefficient of reliability of the examining system is obtained.
Preferably, a kind of System reliability modeling device further include:
Second computing unit, for instant in the workpiece work of second detection unit detection examining system
After operational data, according to the failure curve figure of the workpiece, the bearing capacity of the workpiece is calculated；
Second acquisition unit, for obtaining the total load of the examining system；
The first acquisition unit, specifically for analyze the workpiece bearing capacity and the examining system it is total
Relationship between load, and the instant operational data when workpiece of the examining system is worked inputs the reliability mould
In type, the coefficient of reliability of the examining system is obtained.
Preferably, first computing unit includes:
First statistical module counts total of the workpiece for the failure curve figure according to the workpiece
Several and total working duration；
Second statistical module, for the failure curve figure according to the workpiece, the number of statistics failure workpiece
And the out-of-service time of each failure workpiece；
Computing module, for the calculation formula according to crash rateIt calculates
The crash rate of the workpiece；Wherein, λ (t) indicates crash rate, and Δ n (t) indicates the number of failure workpiece, Δ (t) table
Show the total working duration of the workpiece, N indicates the total number of the workpiece, and ni indicates failure workpiece, ti table
Show the out-of-service time of failure workpiece ni.
Compared with prior art, beneficial effects of the present invention are as follows:
Through the invention, the operational data of multiple product systems is first collected, then picks out the work of failure workpiece again
Make data, to calculate the crash rate of product systems, this makes it possible to the reliabilities that the product systems are established according to crash rate
Model, when needing to treat testing product progress reliability detection, it is only necessary to can by the instant operational data input of product systems
It can be obtained the coefficient of reliability of product in property model.The product reliability that do not dispatch from the factory not only can be detected, to examine
It whether qualified surveys product, and can detecte product reliability just at work, and then keep user more convenient accurately
The service life and product that predict product are likely to occur the time point of failure.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In attached drawing:
Fig. 1 is a kind of flow chart of System reliability modeling method according to an embodiment of the present invention；
Fig. 2 is a kind of structural block diagram of System reliability modeling device according to an embodiment of the present invention；
Fig. 3 is the flow chart of according to embodiments of the present invention one another System reliability modeling method.
Specific embodiment
Below in conjunction with attached drawing of the present invention, technical solution of the present invention is described, but described embodiment is only
A part of the embodiment of the present invention, based on the embodiments of the present invention, those of ordinary skill in the art are not making creative labor
Every other embodiment obtained under the premise of dynamic, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a kind of System reliability modeling method, Fig. 1 is one kind according to an embodiment of the present invention
The flow chart of System reliability modeling method, as shown in Figure 1, comprising the following steps:
Step S101: the standard operational data of workpiece when acquisition system fault-free；
Step S102: during system is from initialization moment to thrashing, real-time detection simultaneously records system work
Make the operational data of component；
Step S103: it using the standard operational data of workpiece as contrast standard, is chosen from the operational data of workpiece
Select the fail data of workpiece；Wherein, fail data includes out-of-service time, failure cause and the failure of workpiece
Number；
Step S104: according to the fail data of workpiece, the failure curve figure of workpiece is drawn；
Step S105: according to the failure curve figure of workpiece, the crash rate of workpiece is calculated；
Step S106: according to the crash rate of workpiece, the reliability model of system is established.
In implementation process, after step s 106, the instant work when workpiece work of examining system can detecte
Make data；In instant operational data input reliability model when then the workpiece of examining system being worked, obtain to be measured
The coefficient of reliability of system.
It further, can also basis after the instant operational data in the workpiece work for detecting examining system
The failure curve figure of workpiece, calculates the bearing capacity of workpiece；Obtain the total load of examining system；By examining system
In instant operational data input reliability model when workpiece works, the coefficient of reliability of examining system is obtained, specifically:
The relationship between the bearing capacity of workpiece and the total load of examining system is analyzed, and the workpiece of examining system is worked
When instant operational data input reliability model in, obtain the coefficient of reliability of examining system.
In step s105, according to the failure curve figure of workpiece, when the total number and total working of statistical work component
It is long；According to the failure curve figure of workpiece, the failure of the number of statistics failure workpiece and each failure workpiece
Time；According to the calculation formula of crash rateCalculate the failure of workpiece
Rate；Wherein, λ (t) indicates crash rate, and Δ n (t) indicates the number of failure workpiece, and Δ (t) indicates the total working of workpiece
Duration, N indicate the total number of workpiece, and ni indicates that failure workpiece, ti indicate the out-of-service time of failure workpiece ni.
Through the above steps, it not only can detecte the product reliability that do not dispatch from the factory, so that whether testing product is qualified, and
Also can detecte product reliability just at work, so make user it is more convenient accurately predict product service life and
Product is likely to occur the time point of failure.
The embodiment of the invention also provides a kind of System reliability modeling devices 20, reliable for realizing a kind of above-mentioned system
Property modeling method.
Fig. 2 is a kind of structural block diagram of System reliability modeling device 20 according to an embodiment of the present invention, as shown in Fig. 2,
The device 20 includes: acquisition unit 201, the standard operational data of workpiece when for acquisition system fault-free；First detection
Unit 202, for during system is from initialization moment to thrashing, real-time detection simultaneously to record system workpiece
Operational data；Data module of selection 203, for the standard operational data using workpiece as contrast standard, from workpiece
Operational data in pick out the fail data of workpiece；Wherein, fail data includes the out-of-service time of workpiece, failure
Reason and failure number；Drawing unit 204, for the fail data according to workpiece, the failure for drawing workpiece is bent
Line chart；First computing unit 205 calculates the crash rate of workpiece for the failure curve figure according to workpiece；Model is built
Vertical unit 206 establishes the reliability model of system for the crash rate according to workpiece.
For System reliability modeling device 20, further includes: second detection unit 207, in model foundation unit 206
According to the crash rate of workpiece, establish after the reliability model of system, detect examining system workpiece work when
Instant operational data；First acquisition unit 208, instant operational data when for the workpiece of examining system to work input
In reliability model, the coefficient of reliability of examining system is obtained.
For System reliability modeling device 20, further includes: the second computing unit 209, in second detection unit 207
After instant operational data when detecting the workpiece work of examining system, according to the failure curve figure of workpiece, calculate
The bearing capacity of workpiece；Second acquisition unit 210, for obtaining the total load of examining system；First acquisition unit 208,
Specifically for analyzing the relationship between the bearing capacity of workpiece and the total load of examining system, and by the work of examining system
In instant operational data input reliability model when component works, the coefficient of reliability of examining system is obtained.
For System reliability modeling device 20, the first computing unit 205 includes: the first statistical module 2051, is used for root
According to the failure curve figure of workpiece, the total number and total working duration of statistical work component；Second statistical module 2052, is used for
According to the failure curve figure of workpiece, when the failure of the number of statistics failure workpiece and each failure workpiece
Between；Computing module 2053, for the calculation formula according to crash rateIt calculates
The crash rate of workpiece；Wherein, λ (t) indicates crash rate, and Δ n (t) indicates the number of failure workpiece, and Δ (t) indicates work
Make the total working duration of component, N indicates the total number of workpiece, and ni indicates that failure workpiece, ti indicate failure work department
The out-of-service time of part ni.
Implement it should be noted that System reliability modeling device described in Installation practice corresponds to above-mentioned method
Example, concrete implementation process had carried out detailed description in embodiment of the method, and details are not described herein.
In order to keep technical solution of the present invention and implementation method clearer, below in conjunction with preferred embodiment in fact
Existing process is described in detail.
Embodiment one
The present embodiment provides another System reliability modeling methods, as shown in figure 3, Fig. 3 is according to embodiments of the present invention
The flow chart of one another System reliability modeling method, comprising the following steps:
Step S301: the standard operational data of workpiece when acquisition system fault-free；
In the embodiment of the present invention, need to acquire each sample in fault-free using a large amount of product systems as sample
The operational data for the workpiece for including, and using the operational data as standard operational data, above-mentioned fault-free refer to be
Unite original operating state until system break down until period in detect system workpiece normal work
Operational data；
Step S302: during system is from initialization moment to thrashing, real-time detection simultaneously records system work
Make the operational data of component；
Step S303: it using the standard operational data of workpiece as contrast standard, is chosen from the operational data of workpiece
Select the fail data of workpiece；
In the embodiment of the present invention, above-mentioned fail data includes out-of-service time, failure cause and the failure of workpiece
Number；
Optionally, the operational data of workpiece is compared with standard operational data one by one, when some work department
When the operational data of part and the difference of standard operational data have exceeded default adjustable normal range of operation, just illustrate this work
The operational data of component is the operational data that failed, i.e. the workpiece is no longer valid, needs to record workpiece mistake at this time
The time of effect, failure cause all finish the operational data for all working component that whole system includes with standard operational data
The number of Microprocessor System for Real Time Record failure workpiece is needed after comparison.
Step S304: according to the fail data of workpiece, the failure curve figure of workpiece is drawn；
Step S305: according to the failure curve figure of workpiece, the total number and total working duration of statistical work component；
Step S306: according to the failure curve figure of workpiece, the number and each failure of statistics failure workpiece
The out-of-service time of workpiece；
Step S307: according to the calculation formula of crash rateCalculate work
The crash rate of component；
In the embodiment of the present invention, λ (t) indicates crash rate, and Δ n (t) indicates the number of failure workpiece, and Δ (t) indicates
The total working duration of workpiece, N indicate the total number of workpiece, and ni indicates that failure workpiece, ti indicate failure work
The out-of-service time of component ni.
Step S308: according to the crash rate of workpiece, the reliability model of system is established；
Step S309: the instant operational data when workpiece work of examining system is detected；
Step S310: according to the failure curve figure of workpiece, the bearing capacity of workpiece is calculated；
Step S311: the total load of examining system is obtained；
Step S312: the relationship between the bearing capacity of workpiece and the total load of examining system is analyzed, and will be to be measured
In instant operational data input reliability model when the workpiece work of system, the coefficient of reliability of examining system is obtained.
In summary, through the foregoing embodiment, the operational data of multiple product systems is first collected, then picks out failure again
The operational data of workpiece, to calculate the crash rate of product systems, this makes it possible to establish the product according to crash rate
The reliability model of system, when needing to treat testing product progress reliability detection, it is only necessary to by the instant work of product systems
Make the coefficient of reliability that can be obtained product in data input reliability model.The product not dispatched from the factory not only can be detected can
By property, so that whether testing product is qualified, and product reliability just at work can detecte, and then make user more
The convenient service life for accurately predicting product and product are likely to occur the time point of failure.
Claims (8)
1. a kind of System reliability modeling method, which comprises the following steps:
The standard operational data of workpiece when acquisition system fault-free；
During system is from initialization moment to thrashing, real-time detection and the work number for recording system workpiece
According to；
Using the standard operational data of the workpiece as contrast standard, institute is picked out from the operational data of the workpiece
State the fail data of workpiece；Wherein, the fail data include out-of-service time of the workpiece, failure cause and
Fail number；
According to the fail data of the workpiece, the failure curve figure of the workpiece is drawn；
According to the failure curve figure of the workpiece, the crash rate of the workpiece is calculated；
According to the crash rate of the workpiece, the reliability model of the system is established.
2. the method according to claim 1, wherein establishing the system according to the crash rate of the workpiece
It is further comprising the steps of after the reliability model of system:
Detect the instant operational data when workpiece work of examining system；
Instant operational data when the workpiece of the examining system is worked inputs in the reliability model, obtains described
The coefficient of reliability of examining system.
3. according to the method described in claim 2, it is characterized in that, detecting the instant work when workpiece work of examining system
It is further comprising the steps of after making data:
According to the failure curve figure of the workpiece, the bearing capacity of the workpiece is calculated；
Obtain the total load of the examining system；
Instant operational data when the workpiece of the examining system is worked inputs in the reliability model, obtains described
The coefficient of reliability of examining system, specifically:
Analyze the relationship between the bearing capacity of the workpiece and the total load of the examining system, and by the system to be measured
Instant operational data when the workpiece work of system inputs in the reliability model, obtains the reliability of the examining system
Coefficient.
4. the method according to claim 1, wherein calculating institute according to the failure curve figure of the workpiece
State the crash rate of workpiece, comprising the following steps:
According to the failure curve figure of the workpiece, the total number and total working duration of the workpiece are counted；
According to the failure curve figure of the workpiece, the number of statistics failure workpiece and each failure workpiece
Out-of-service time；
According to the calculation formula of crash rateCalculate the failure of the workpiece
Rate；Wherein, λ (t) indicates crash rate, and Δ n (t) indicates the number of failure workpiece, and Δ (t) indicates the total of the workpiece
Operating time, N indicate the total number of the workpiece, and ni indicates that failure workpiece, ti indicate failure workpiece ni's
Out-of-service time.
5. a kind of System reliability modeling device characterized by comprising
Acquisition unit, the standard operational data of workpiece when for acquisition system fault-free；
First detection unit, for during system is from initialization moment to thrashing, real-time detection simultaneously records and is
The operational data of system workpiece；
Data module of selection, for the standard operational data using the workpiece as contrast standard, from the workpiece
The fail data of the workpiece is picked out in operational data；Wherein, the fail data includes the mistake of the workpiece
Imitate time, failure cause and failure number；
Drawing unit draws the failure curve figure of the workpiece for the fail data according to the workpiece；
First computing unit calculates the crash rate of the workpiece for the failure curve figure according to the workpiece；
Model foundation unit establishes the reliability model of the system for the crash rate according to the workpiece.
6. device according to claim 5, which is characterized in that further include:
Second detection unit establishes the system for the crash rate in the model foundation unit according to the workpiece
Reliability model after, detect examining system workpiece work when instant operational data；
First acquisition unit, instant operational data input when for the workpiece of the examining system to work are described reliable
In property model, the coefficient of reliability of the examining system is obtained.
7. device according to claim 6, which is characterized in that further include:
Second computing unit, for the instant work in the workpiece work of second detection unit detection examining system
After data, according to the failure curve figure of the workpiece, the bearing capacity of the workpiece is calculated；
Second acquisition unit, for obtaining the total load of the examining system；
The first acquisition unit, specifically for analyzing the bearing capacity of the workpiece and the total load of the examining system
Between relationship, and the instant operational data when workpiece of the examining system is worked inputs the reliability model
In, obtain the coefficient of reliability of the examining system.
8. device according to claim 5, which is characterized in that first computing unit includes:
First statistical module, for the failure curve figure according to the workpiece, count the workpiece total number and
Total working duration；
Second statistical module, for the failure curve figure according to the workpiece, the number of statistics failure workpiece and
The out-of-service time of each failure workpiece；
Computing module, for the calculation formula according to crash rateDescribed in calculating
The crash rate of workpiece；Wherein, λ (t) indicates crash rate, and Δ n (t) indicates the number of failure workpiece, and Δ (t) indicates institute
The total working duration of workpiece is stated, N indicates the total number of the workpiece, and ni indicates that failure workpiece, ti indicate to lose
Imitate the out-of-service time of workpiece ni.
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