CN112633745A - Method for expressing reliability attribute of product - Google Patents
Method for expressing reliability attribute of product Download PDFInfo
- Publication number
- CN112633745A CN112633745A CN202011617967.6A CN202011617967A CN112633745A CN 112633745 A CN112633745 A CN 112633745A CN 202011617967 A CN202011617967 A CN 202011617967A CN 112633745 A CN112633745 A CN 112633745A
- Authority
- CN
- China
- Prior art keywords
- reliability
- product
- classification
- attribute
- attributes
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000013461 design Methods 0.000 claims abstract description 56
- 238000011161 development Methods 0.000 claims abstract description 42
- 230000008569 process Effects 0.000 claims abstract description 15
- 238000012360 testing method Methods 0.000 claims description 12
- 238000012502 risk assessment Methods 0.000 claims description 11
- 238000012795 verification Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 7
- 238000011058 failure modes and effects analysis Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 5
- 230000006353 environmental stress Effects 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 238000011981 development test Methods 0.000 claims description 3
- 230000001502 supplementing effect Effects 0.000 claims description 3
- 238000012356 Product development Methods 0.000 abstract description 5
- 239000000047 product Substances 0.000 abstract 12
- 238000012937 correction Methods 0.000 abstract 1
- 238000012217 deletion Methods 0.000 abstract 1
- 230000037430 deletion Effects 0.000 abstract 1
- 239000013589 supplement Substances 0.000 abstract 1
- 230000014509 gene expression Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 238000012827 research and development Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Game Theory and Decision Science (AREA)
- Databases & Information Systems (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method for expressing the reliability attribute of a product, which classifies the product according to the product level, the development stage and the reliability attribute of the product; in the first development stage, classifying products according to product levels, classifying each component in each class according to product reliability attributes, and digitally defining the last class of classification; and (4) forming a product reliability attribute structure tree by the reliability attributes of each component according to the product hierarchy, and carrying out inheritance, deletion, supplement or correction on the product reliability attribute structure tree of the previous development stage according to the time sequence of the development stage to obtain the product reliability attribute structure tree of each development stage. The invention can realize the classified storage and management of the reliability information of the complex product, and is updated and perfected along with the time axis (development stage), thereby facilitating the realization of the digitization and traceability of the reliability attribute in the process of product development and laying a foundation for integrating the reliability work into a multi-professional digitized collaborative design environment.
Description
Technical Field
The invention belongs to the technical field of reliability engineering, and particularly relates to a method for expressing reliability attributes of a product.
Background
Reliability engineering refers to a series of technical and administrative activities performed to determine and meet the reliability requirements of a product. When a product is initially developed, a user puts forward functional and performance requirements, and simultaneously puts forward product reliability requirements including qualitative reliability requirements, quantitative reliability requirements and work item reliability requirements. In the process of developing products, a bearer party needs to complete the decomposition, implementation and inspection of reliability requirements through various reliability work items, and the purpose is to ensure that the products meet the specified reliability requirements when being designed and shaped. The reliability work items comprise the steps of making a reliability work plan, reliability distribution, making a reliability design criterion, reliability modeling and prediction, reliability evaluation and the like, and are specifically described in general requirements for equipment reliability work GJB 450A-2004.
In recent years, with the rapid development of computer technology, in order to improve the research and development efficiency of complex products and reduce the commissioning risk and the research and development cost of physical prototypes, modeling and application technologies based on digital prototypes become mature day by day, and the research and development mode is promoted to be converted into a multi-professional collaborative mode in a network environment. The reliable work is taken as an important gripper for the general quality characteristic work of products, at present, a manual work mode based on documents is mainly used, the work efficiency is low, the process management and control are poor, part of work is lack of forced execution or execution lag, no strong constraint force for guiding the product design, improvement and inspection is formed, and the requirement of multi-professional digital collaborative design under new technical conditions is not met any more.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a method for expressing the reliability attribute of a product. The scheme of the invention can solve the problems in the prior art.
The technical solution of the invention is as follows:
a reliability attribute expression method of a product includes the following steps:
classifying products according to product levels, development stages and product reliability attributes;
according to the classification of the development stages, classifying products according to the product levels in the first development stage, classifying each component in each class according to the product reliability attribute, and digitally defining the last-stage classification of the product reliability attribute;
forming a product reliability attribute structure tree by the digitally defined reliability attributes of each component according to the product hierarchy to form a complete reliability attribute chain on the product structure;
according to the classification of the development stages and the time sequence of the development stages, inheriting, deleting, supplementing or correcting the product reliability attribute structure tree of the previous development stage to respectively obtain the product reliability attribute structure trees of the development stages and form a complete reliability attribute chain of the product in time.
Furthermore, the product hierarchy comprises a system, a subsystem, a unit and a part below the unit;
further, the development stage comprises an demonstration stage, a scheme stage, an engineering development stage, a state identification stage and a use stage.
Further, the classification method of the product reliability attributes is as follows:
s1.1, using the reliability attribute as a first-level classification of the product attribute;
s1.2, performing secondary classification on the reliability attributes according to the action and the form of the reliability information, wherein the secondary classification comprises qualitative attributes, quantitative attributes and work item attributes;
s1.3, performing three-level classification on the qualitative attribute, the quantitative attribute and the work item attribute; carrying out three-level classification on the qualitative attributes according to a closed-loop working process of proposing a design requirement, developing fault risk analysis, giving a design measure and finishing conformance check or verification; carrying out three-level classification on the quantitative attributes according to the closed-loop working processes of reliability distribution, reliability prediction, reliability data collection and reliability evaluation; performing three-level classification on the attributes of the work items according to a closed-loop work process of proposing a work plan and an inspection completion result;
s1.4, performing four-level classification on the reliability attribute obtained after the three-level classification according to a certain rule.
Furthermore, five or more grades of classification can be carried out under the four-grade classification.
Further, the three-level classification of the qualitative attributes comprises design requirements, fault risk analysis, design measure information and compliance check or verification.
Further, the three-level classification of the quantitative attributes comprises an assigned value, an expected value, reliability data and an evaluation value.
Further, the three-level classification of the work item attributes includes planning requirements and completion results.
Further, the four-level classification of the design requirements includes derating design, mature design, redundant design, component selection, environment-tolerant design and thermal design.
Further, the four-level classification of the fault risk analysis comprises a fault mode, a fault reason, the influence of the fault on a product at the current level, the influence of the fault on a product at the previous level, the final influence of the fault and the severity of the fault.
Furthermore, the four levels of the design measure information are classified into information obtained by corresponding design requirements one by one.
Further, the four levels of compliance checking or verification are classified into information obtained by analyzing corresponding design requirements and fault risks one by one.
Further, the four-level classification of the assignment values includes storage reliability and task reliability.
Further, the said four-level classification of the predicted value and the evaluated value is developed with reference to the case of the assigned value.
Furthermore, the four-level classification of the reliability data comprises a temperature test, a vibration test, a reliability development test and an environmental stress screening.
Further, the four-level classification of the planning requirements includes FMEA, FTA, reliability prediction, and durability analysis.
Furthermore, the four-level classification of the finished result corresponds to the unfolding condition required by the plan one by one.
Further, the classification conditions below three levels can be adjusted according to different requirements.
Further, the digital definition includes the name, field name, hierarchical classification, definition, data type, necessity, generation mode, data form and remark of the data item.
Preferably, the name is a chinese name of each data item, the field name is an english abbreviation of each data item, the hierarchical classification is a name of each level of classification where the data item is located, the definition is a paraphrase or filling description of each data item, the data type refers to a data type of each data item, the necessity is to configure the data item according to whether a product is configured, the generation mode is a mode of generating the data item, and includes a configuration item, an automatic generation item, and a collection item, the data form is a data item configuration and collection form, and the remarks are other items that need to be described for the data item.
Preferably, the data forms include text boxes, rich text boxes, radio box lists, check box lists, pop-up box lists, and dates.
Compared with the prior art, the invention has the beneficial effects that:
(1) the reliability attribute is discretized into data items through the hierarchical definition and the digital definition of the reliability attribute, and the data items are the same as other attributes such as product geometry, material, weight and the like, so that the data items are used for guiding and constraining product design and evaluating design results, and a foundation is laid for integrating reliability work into a multi-professional digital collaborative design environment;
(2) the reliability attribute expression method based on the product structure tree can realize the classified storage and management of the reliability information of complex products, and is updated and perfected along with the time axis (development stage), thereby facilitating the realization of the digitization and traceability of the reliability attribute in the process of product development, and further laying a foundation for integrating the reliability work into a multi-professional digitized collaborative design environment.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram illustrating steps of a reliability attribute expression method for a product according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a product reliability attribute hierarchical classification provided in accordance with an embodiment of the present invention;
FIG. 3 is a diagram illustrating a product reliability attribute structure tree provided in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a product development phase reliability attribute data chain provided in accordance with an embodiment of the present invention;
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
As shown in fig. 1, a method for expressing reliability attributes of a product according to an embodiment of the present invention includes the following steps:
classifying products according to product levels, development stages and product reliability attributes;
in one embodiment, the product hierarchy includes systems, subsystems, units, and units; the development stage comprises a demonstration stage, a scheme stage, an engineering development stage, a state identification stage and a use stage;
as shown in FIG. 2, in one embodiment, the product reliability attribute classification method comprises the following steps:
s1.1, using the reliability attribute as a first-level classification of the product attribute;
the reliability attribute is information such as data, text, symbols and the like required for expressing the reliability requirement or characteristic of the product, and can be regarded as an inherent attribute for guiding and restricting the product design and evaluating the design result. The reliability attributes are used as the first class of product attributes, as are other attributes such as geometry, material, weight, etc.
S1.2, performing secondary classification on the reliability attributes according to the action and the form of the reliability information, wherein the secondary classification comprises qualitative attributes, quantitative attributes and work item attributes;
qualitative attributes are textual information used to qualitatively describe product reliability requirements or characteristics, such as: the elements should adopt II-level derating design, the parts executing the XX function adopt redundancy design, and the like; quantitative attributes are data information used to quantitatively describe product reliability requirements or characteristics, such as: the lowest acceptable value of the task reliability is not less than 0.99, the accumulated power-on time is not less than 200 hours, the accumulated power-on times is not less than 200 times, the service life is not less than 10 years and the like; the work item attribute is a special qualitative attribute, and is text information for qualitatively describing the planning requirement and the completion result of developing the reliability work item of the product, such as: hardware FMEA and the like should be completed in the engineering development stage.
S1.3, performing three-level classification on the qualitative attribute, the quantitative attribute and the work item attribute; carrying out three-level classification on the qualitative attributes according to a closed-loop working process of proposing a design requirement, developing fault risk analysis, giving a design measure and finishing conformance check or verification; further in one embodiment, the three-level classification of qualitative attributes includes design requirements, failure risk analysis, design measure information, and compliance checking or verification;
carrying out three-level classification on the quantitative attributes according to the closed-loop working processes of reliability distribution, reliability prediction, reliability data collection and reliability evaluation; further in one embodiment, the three levels of classification of quantitative attributes include assigned values, predicted values, reliability data, and evaluated values;
performing three-level classification on the attributes of the work items according to a closed-loop work process of proposing a work plan and an inspection completion result; further in one embodiment, the three levels of classification of work item attributes include planning requirements and completion results.
S1.4, performing four-level classification on the reliability attribute obtained after the three-level classification;
further in one embodiment, the four levels of classification of design requirements include derated design, mature design, redundant design, component selection, environment tolerant design, and thermal design.
Further in one embodiment, the four levels of classification of the failure risk analysis include failure mode, failure cause, failure impact on the product of the current level, failure impact on the product of the previous level, failure final impact and failure severity.
Further in one embodiment, the four levels of design measure information are classified into information obtained by corresponding design requirements piece by piece.
Further in one embodiment, the four levels of compliance checking or verification are categorized into pieces of information obtained by the corresponding design requirements and failure risk analysis.
Further in one embodiment, the four levels of classification of assigned values include storage reliability and task reliability.
Further, in one embodiment, the four-level classification of the predicted value and the evaluated value is obtained according to the four-level classification of the assigned value, and if the four-level classification of the assigned value includes the storage reliability and the task reliability, the four-level classification of the predicted value is the storage reliability predicted value and the task reliability predicted value, and the four-level classification of the evaluated value is the storage reliability evaluated value and the task reliability evaluated value.
Further in one embodiment, the four-level classification of reliability data includes temperature testing, vibration testing, reliability development testing, and environmental stress screening.
Further in one embodiment, the four levels of classification required for the plan include FMEA, FTA, reliability prediction, and durability analysis.
Further in one embodiment, the four-level classification of the completion results is in one-to-one correspondence with respect to the separation of the planning requirements, and if the four-level classification of the planning requirements includes FMEA, FTA, reliability prediction, and endurance analysis, the four-level classification of the completion results is FMEA completion result, FTA completion result, reliability prediction completion result, and endurance analysis completion result.
In one embodiment, the reliability data can be developed into four-level classification according to different test items, such as temperature test, vibration test, reliability development test, environmental stress screening and the like, and the different test items can be developed into five-level classification according to working time, fault number, test frequency, failure frequency and the like; when the failure mode, the failure reason and the like are not unique, the system can be continuously expanded according to five-level classification; in terms of work item attributes, the planning requirements can be expanded into four-level classifications according to specific work items, such as FMEA, FTA, reliability prediction, durability analysis and the like, and each corresponding work item can be expanded into five-level classifications according to an applicable object, an applicable stage, a completion form, a responsibility unit, completion time and the like. In other embodiments, classification of six or more levels may be continued if desired, and will not be described further herein.
Further, in an embodiment, the classification method of the reliability attributes below three levels is not fixed and can be adjusted by comprehensively considering factors such as product characteristics, engineering experience of the undertaking units, requirements of the development stage and the like when necessary.
Classifying products according to the product levels in the first development stage according to the classification of the development stages, and digitally defining each component in each class according to the last-level classification of the product reliability attribute classification;
in one embodiment, the method is that in the demonstration stage, each of the system, the sub-system, the unit and the parts below the unit is formed, namely each sub-system, each unit and the parts below each unit are classified to the last stage according to a classification method of classifying the two stages into qualitative attributes, quantitative attributes and work item attributes.
Digitization is a design mode for product definition in computer languages for the purpose of data communication, interpretation, or processing based on a computer environment. And digitally defining the reliability attribute of the product, namely decomposing the reliability attribute according to classification and grading until discrete data items are formed.
Further in one embodiment, the digital definition includes a name, field name, hierarchical classification, definition, data type, necessity, manner of generation, data form, and remark for the data item.
Preferably, in an embodiment, the name is a chinese name of each data item, the field name is an english abbreviation of each data item, the hierarchical classification is a name of each level classification where the data item is located, the name is defined as a paraphrase or filling description of each data item, the data type refers to a data type of each data item, the necessity is whether the data item is configured according to a product, a generation mode is generated for the data item, the generation mode comprises a configuration item, an automatic generation item and a collection item, the data form is a data item configuration and collection mode, preferably, in an embodiment, the data form comprises a text box, a rich text box, a list of radio boxes, a list of check boxes, a list of pop-up boxes, a list and a date, and notes are other items to be described for the data item, as shown in table 1, thereby ensuring that each data item is collectable, unique, discrete.
TABLE 1
For better understanding of the present invention, in a specific embodiment, the reliability attributes of an electronic product are classified hierarchically to form individual data items, and the data items are defined digitally, for example, as shown in table 2, which are part of the reliability attribute data items.
TABLE 2
Step three, forming a product reliability attribute structure tree by the digitally defined reliability attributes of each component according to the product hierarchy to form a complete reliability attribute chain on the product structure;
as shown in fig. 3, in one embodiment, the components below each unit are combined into a unit, each unit is combined into a subsystem, each subsystem is combined into a system, the reliability attributes of the system are classified as the attributes of the first class, and the attributes are the same as the quality, the size and the like, so that a reliability attribute structure tree of the whole system is formed, and a complete reliability attribute chain of the whole product is obtained.
And step four, according to the classification of the development stages and the time sequence of the development stages, inheriting, deleting, supplementing or correcting the product reliability attribute structure tree of the previous development stage to respectively obtain the product reliability attribute structure trees of the development stages and form a complete reliability attribute chain of the product in time.
As shown in fig. 4, the reliability attribute structure tree of the product is obtained in the solution stage, in one embodiment, in the engineering development stage, some components in the product in the solution stage may be modified, replaced, deleted or added, and at this time, the reliability attribute structure tree of the product in the solution stage is inherited, deleted, supplemented or modified, so as to obtain the reliability attribute structure tree of the product in the engineering development stage. Similarly, the product reliability attribute structure tree of the product in the engineering development stage, the state identification stage and the use stage can be obtained, so that the digitization and the traceability of the reliability attribute can be conveniently realized in the product development process.
In summary, compared with the prior art, the reliability attribute expression method of the product provided by the invention has at least the following advantages:
(1) the reliability attribute is dispersed into data items through the hierarchical definition of the reliability attribute, and the data items are the same as other attributes such as product geometry, material, weight and the like and are used for guiding and constraining product design and evaluating design results;
(2) the reliability attribute is classified and then digitized, so that each data item of the reliability attribute is acquirable, unique and discrete, the reliability attribute can be configured/acquired, stored, transmitted, retrieved and counted by a computer, the efficiency and the accuracy are improved, and a foundation is laid for integrating the reliability work into a multi-professional digital collaborative design environment;
(3) the reliability attribute expression method based on the product structure tree can realize the classified storage and management of the reliability information of complex products, and is updated and perfected along with the time axis (development stage), thereby facilitating the realization of the digitization and traceability of the reliability attribute in the process of product development, and further laying a foundation for integrating the reliability work into a multi-professional digitized collaborative design environment.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of expressing a reliability attribute of a product, the method comprising the steps of:
classifying products according to product levels, development stages and product reliability attributes;
according to the classification of the development stages, classifying products according to the product levels in the first development stage, classifying each component in each class according to the product reliability attribute, and digitally defining the last-stage classification of the product reliability attribute;
forming a product reliability attribute structure tree by the digitally defined reliability attributes of each component according to the product hierarchy to form a complete reliability attribute chain on the product structure;
according to the classification of the development stages and the time sequence of the development stages, inheriting, deleting, supplementing or correcting the product reliability attribute structure tree of the previous development stage to respectively obtain the product reliability attribute structure trees of the development stages and form a complete reliability attribute chain of the product in time.
2. The method as claimed in claim 1, wherein the step of classifying the product reliability attributes comprises:
s1.1, using the reliability attribute as a first-level classification of the product attribute;
s1.2, performing secondary classification on the reliability attributes according to the action and the form of the reliability information, wherein the secondary classification comprises qualitative attributes, quantitative attributes and work item attributes;
s1.3, performing three-level classification on the qualitative attribute, the quantitative attribute and the work item attribute; carrying out three-level classification on the qualitative attributes according to a closed-loop working process of proposing a design requirement, developing fault risk analysis, giving a design measure and finishing conformance check or verification; carrying out three-level classification on the quantitative attributes according to the closed-loop working processes of reliability distribution, reliability prediction, reliability data collection and reliability evaluation; performing three-level classification on the attributes of the work items according to a closed-loop work process of proposing a work plan and an inspection completion result;
s1.4, performing four-level classification on the reliability attribute obtained after the three-level classification according to a certain rule.
3. The method as claimed in claim 2, wherein the three-level classification of qualitative attributes includes design requirements, failure risk analysis, design measure information, and compliance check or verification; the three-level classification of the quantitative attributes comprises an assigned value, a predicted value, reliability data and an evaluation value; the three-level classification of the work item attributes comprises planning requirements and completion results.
4. The method as claimed in claim 3, wherein the design requirements are classified into four classes including derated design, mature design, redundant design, component selection, environment-tolerant design and thermal design; the four-level classification of the fault risk analysis comprises a fault mode, a fault reason, the influence of the fault on a product at the current level, the influence of the fault on a product at the previous level, the final influence of the fault and the severity of the fault; the four levels of the design measure information are classified into information obtained by corresponding design requirements one by one; the four levels of the conformity checking or the verification are classified into information which corresponds to the design requirements and is obtained by fault risk analysis one by one; the four-level classification of the distribution values comprises storage reliability and task reliability; the four-level classification of the predicted value and the evaluation value is developed according to the condition of the distribution value; the four-level classification of the reliability data comprises a temperature test, a vibration test, a reliability development test and an environmental stress screening; the four-level classification of the planning requirements includes FMEA, FTA, reliability prediction and durability analysis; and the four-level classification of the finished result corresponds to the unfolding condition required by the plan one by one.
5. The method for expressing the reliability attribute of a product according to any one of claims 2, 3 or 4, wherein the classification conditions of three or less levels are adjusted according to different requirements; and five-level classification or more-level classification is carried out under the four-level classification.
6. The method as claimed in claim 1, wherein the digital definition includes a name, a field name, a hierarchical classification, a definition, a data type, a necessity, a generation manner, a data form and a remark of the data item.
7. The method as claimed in claim 6, wherein the name is a chinese name of each data item, the field name is an english abbreviation of each data item, the hierarchical classification is a name of each level of classification where the data item is located, the definition is a paraphrase or a filling description of each data item, the data type is a data type of each data item, the necessity is whether the data item is configured according to a product, the generation mode is a mode of generating the data item, and includes a configuration item, an automatic generation item, and a collection item, the data form is a data item configuration and collection form, and the remarks are other items that need to be described for the data item.
8. The method as claimed in claim 7, wherein the data form includes a text box, a rich text box, a list of radio boxes, a list of check boxes, a list of pop-up boxes, a list and a date.
9. The method as claimed in claim 1, wherein the product hierarchy includes system, subsystem, unit and unit components.
10. The method as claimed in claim 1, wherein the development stage comprises demonstration stage, scheme stage, engineering development stage, status identification stage and use stage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011617967.6A CN112633745A (en) | 2020-12-30 | 2020-12-30 | Method for expressing reliability attribute of product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011617967.6A CN112633745A (en) | 2020-12-30 | 2020-12-30 | Method for expressing reliability attribute of product |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112633745A true CN112633745A (en) | 2021-04-09 |
Family
ID=75287207
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011617967.6A Pending CN112633745A (en) | 2020-12-30 | 2020-12-30 | Method for expressing reliability attribute of product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112633745A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117875311A (en) * | 2024-01-11 | 2024-04-12 | 北京领初医药科技有限公司 | Abbreviation sentence matching method, device and storage medium |
| CN117875311B (en) * | 2024-01-11 | 2024-06-21 | 北京领初医药科技有限公司 | Abbreviation sentence matching method, device and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002197290A (en) * | 2000-12-26 | 2002-07-12 | Adhoc Kk | Pets' attributes determination system, pets attributes database system and way of using those systems |
| CN102142114A (en) * | 2010-12-10 | 2011-08-03 | 北京航空航天大学 | Reliable data modeling method for complex products |
| AU2013205020A1 (en) * | 2011-01-21 | 2013-05-16 | Labrador Diagnostics Llc | Systems and methods for sample use maximization |
| AU2014202286A1 (en) * | 2010-02-19 | 2014-05-22 | Pacific Biosciences Of California, Inc. | Integrated analytical system and method |
| CN105678384A (en) * | 2015-12-11 | 2016-06-15 | 中国民航大学 | Three-dimensional digital work card maintenance system based on product structure tree, and method thereof |
| CN105912820A (en) * | 2016-05-09 | 2016-08-31 | 江苏祥和电子科技有限公司 | Method for automobile engine reliability modeling |
| CN106874407A (en) * | 2017-01-19 | 2017-06-20 | 北京工商大学 | Agriculture residue based on concept abstraction hierarchy is according to method for amalgamation processing and its system |
| WO2018031628A1 (en) * | 2016-08-09 | 2018-02-15 | Ripcord, Inc. | Systems and methods for electronic records tagging |
| WO2019153094A1 (en) * | 2018-02-10 | 2019-08-15 | The Governing Council Of The University Of Toronto | System and method for interfacing with biological tissue |
| CN110216553A (en) * | 2019-05-22 | 2019-09-10 | 湖南科技大学 | A kind of the intelligent decision cloud service method and system of the processing of camshaft numerical control grinding |
| CN110991044A (en) * | 2019-12-03 | 2020-04-10 | 北京机电工程研究所 | Agent modeling-based aircraft system task reliability assessment method |
| KR102103670B1 (en) * | 2019-07-17 | 2020-04-23 | 주식회사 커넥트닷 | Method and apparatus for estimating real estates |
| CN111222204A (en) * | 2019-11-12 | 2020-06-02 | 中国航天标准化研究所 | Joint simulation design method for performance and reliability of aerospace machinery and electrical product |
| CN112633744A (en) * | 2020-12-30 | 2021-04-09 | 北京机电工程研究所 | Reliability construction method in digital environment |
| CN112633746A (en) * | 2020-12-30 | 2021-04-09 | 北京机电工程研究所 | Reliability attribute digital determination method |
-
2020
- 2020-12-30 CN CN202011617967.6A patent/CN112633745A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002197290A (en) * | 2000-12-26 | 2002-07-12 | Adhoc Kk | Pets' attributes determination system, pets attributes database system and way of using those systems |
| AU2014202286A1 (en) * | 2010-02-19 | 2014-05-22 | Pacific Biosciences Of California, Inc. | Integrated analytical system and method |
| CN102142114A (en) * | 2010-12-10 | 2011-08-03 | 北京航空航天大学 | Reliable data modeling method for complex products |
| AU2013205020A1 (en) * | 2011-01-21 | 2013-05-16 | Labrador Diagnostics Llc | Systems and methods for sample use maximization |
| CN105678384A (en) * | 2015-12-11 | 2016-06-15 | 中国民航大学 | Three-dimensional digital work card maintenance system based on product structure tree, and method thereof |
| CN105912820A (en) * | 2016-05-09 | 2016-08-31 | 江苏祥和电子科技有限公司 | Method for automobile engine reliability modeling |
| WO2018031628A1 (en) * | 2016-08-09 | 2018-02-15 | Ripcord, Inc. | Systems and methods for electronic records tagging |
| CN106874407A (en) * | 2017-01-19 | 2017-06-20 | 北京工商大学 | Agriculture residue based on concept abstraction hierarchy is according to method for amalgamation processing and its system |
| WO2019153094A1 (en) * | 2018-02-10 | 2019-08-15 | The Governing Council Of The University Of Toronto | System and method for interfacing with biological tissue |
| CN110216553A (en) * | 2019-05-22 | 2019-09-10 | 湖南科技大学 | A kind of the intelligent decision cloud service method and system of the processing of camshaft numerical control grinding |
| KR102103670B1 (en) * | 2019-07-17 | 2020-04-23 | 주식회사 커넥트닷 | Method and apparatus for estimating real estates |
| CN111222204A (en) * | 2019-11-12 | 2020-06-02 | 中国航天标准化研究所 | Joint simulation design method for performance and reliability of aerospace machinery and electrical product |
| CN110991044A (en) * | 2019-12-03 | 2020-04-10 | 北京机电工程研究所 | Agent modeling-based aircraft system task reliability assessment method |
| CN112633744A (en) * | 2020-12-30 | 2021-04-09 | 北京机电工程研究所 | Reliability construction method in digital environment |
| CN112633746A (en) * | 2020-12-30 | 2021-04-09 | 北京机电工程研究所 | Reliability attribute digital determination method |
Non-Patent Citations (4)
| Title |
|---|
| VOLNA, E: "Enhanced ensemble-based classifier with boosting for pattern recognition", APPLIED MATHEMATICS AND COMPUTATION, vol. 310, 1 October 2017 (2017-10-01), pages 1 - 14 * |
| 杨婷;: "高校档案管理数字化建设研究", 内蒙古财经大学学报, vol. 14, no. 02, 28 April 2016 (2016-04-28), pages 148 - 151 * |
| 贾评家: "基于可靠性的复杂机械设备数字化设计", 中国优秀硕士论文, no. 07, 15 July 2013 (2013-07-15), pages 029 - 21 * |
| 陈振清;: "数字房产建设中房产测绘数字化探讨", 城建档案, no. 06, 15 June 2010 (2010-06-15), pages 54 - 56 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117875311A (en) * | 2024-01-11 | 2024-04-12 | 北京领初医药科技有限公司 | Abbreviation sentence matching method, device and storage medium |
| CN117875311B (en) * | 2024-01-11 | 2024-06-21 | 北京领初医药科技有限公司 | Abbreviation sentence matching method, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9195952B2 (en) | Systems and methods for contextual mapping utilized in business process controls | |
| CN113408853A (en) | Neutral BOM construction method and system based on engineering and manufacturing bill of materials | |
| CN109144481B (en) | Component software configuration method of domain-oriented software intensive system | |
| US7558803B1 (en) | Computer-implemented systems and methods for bottom-up induction of decision trees | |
| Murgia et al. | A machine learning approach for text categorization of fixing-issue commits on CVS | |
| CN112633746A (en) | Reliability attribute digital determination method | |
| CN113095524A (en) | Intelligent generation method, system and storage medium for maintenance work document of power equipment | |
| Kumar et al. | Conceptualizing “COBieEvaluator” A rule based system for tracking asset changes using COBie datasheets | |
| Corea et al. | A taxonomy of business rule organizing approaches in regard to business process compliance | |
| CN117575222A (en) | Production management method, system, equipment and storage medium | |
| CN112633744B (en) | Reliability construction method in digital environment | |
| CN104335161B (en) | Efficient evaluation of network robustness with a graph | |
| CN105138612A (en) | Method and system for analyzing and locating reasons of data consistency difference | |
| CN112084323A (en) | Airworthiness approval collaborative work platform and method | |
| CN112633745A (en) | Method for expressing reliability attribute of product | |
| Ruiz et al. | Towards a case-based reasoning approach for safety assurance reuse | |
| JP3195031B2 (en) | Test specification generation method, semiconductor device inspection apparatus, and semiconductor device inspection method | |
| CN114416524B (en) | File error positioning method and device | |
| Söderholm | Maintenance and continuous improvement of complex systems: linking stakeholder requirements to the use of built-in test systems | |
| Yurin et al. | The conception of an intelligent system for troubleshooting an aircraft | |
| CN113919800A (en) | Work order processing method, device and equipment | |
| US20200293565A1 (en) | Repair action label generation system | |
| CN112667492A (en) | Recommendation method for software defect report repairer | |
| Barbosa et al. | Software testing in critical embedded systems: A systematic review of adherence to the do-178b standard | |
| CN116611793B (en) | Service data induction method and system based on feature analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |