Supercharge Your Innovation With Domain-Expert AI Agents!

A multi-level task reliability assignment method and system

An allocation method and reliability technology, applied in the field of multi-level task reliability allocation methods and systems, can solve problems such as poor practicability of allocation plans, and achieve the effects of fast calculation and convenient operation.

Active Publication Date: 2022-04-05
JIANGSU XCMG CONSTR MASCH RES INST LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] In view of the above problems, the present invention proposes a multi-level task reliability allocation method and system, which discretizes the allocation process into multiple levels of execution, uses the reliability index as the starting point for determining the reliability allocation coefficient of the target level, and proposes an "adjustment coefficient" The concept of reliability allocation is determined based on the adjustment coefficient. The allocation process is completely based on the fault history data of the product, which eliminates the influence of human factors and avoids the implementation of the allocation scheme caused by the allocation result being too high or too low. sex problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A multi-level task reliability assignment method and system
  • A multi-level task reliability assignment method and system
  • A multi-level task reliability assignment method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] An embodiment of the present invention provides a multi-level task reliability assignment method, including the following steps:

[0062] (1) Obtain the required distribution level model based on the target product and the analysis target. The distribution level model includes several sequentially associated single-layer models, and the scale of the constituent units in each sequentially associated single-layer model decreases successively. Small, and each parameter in the single-layer model is a reliability index of the target product;

[0063] In a specific implementation manner of the embodiment of the present invention, step (1) specifically includes the following sub-steps:

[0064] (1.1) Obtain the reliability basic data of the target product; the reliability basic data includes fault data information, sales data information, and installed machine data information. In the actual application process, the described fault data information, sales data information, and...

Embodiment 2

[0120] The difference between the embodiment of the present invention and embodiment 1 is:

[0121] The multi-level task reliability assignment method also includes:

[0122] Display the reliability distribution coefficient and optimized reliability distribution coefficient of each component unit in each single-layer model obtained, and also display the basic information of the reliability basic data of the target product, including sample size, calculation time period, Deadline, original evaluation matrix, standardized matrix, allocation unit factor coefficient matrix, allocation unit comprehensive coefficient, allocation unit allocation coefficient; the third sub-module mainly displays the allocation unit adjustment coefficient; the fourth sub-module mainly displays the initial unit allocation plan, unit allocation final plan.

Embodiment 3

[0124] An embodiment of the present invention provides a multi-level task reliability distribution system, including:

[0125] The data acquisition unit is used to obtain the required distribution level model based on the target product and the analysis target, the distribution level model includes several sequentially associated single-layer models, and the constituent units in each sequentially associated single-layer model The scale decreases successively, and each parameter in the single-layer model is a reliability index of the target product;

[0126] A reliability initial allocation unit, configured to obtain the reliability allocation coefficients of each component unit in each single-layer model based on the allocation level model and the analysis target;

[0127] The reliability optimization unit is used to optimize the reliability distribution coefficient of each component unit in each single-layer model, obtain the optimized reliability distribution coefficient, an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a multi-level task reliability allocation method and system, including the allocation level model required for acquisition based on the target product and the analysis target. The allocation level model includes several sequentially associated single-level models, each The scale of the constituent units in the associated single-layer model decreases successively, and each parameter in the single-layer model is the reliability index of the target product; based on the distribution hierarchy model and the analysis target, each single-layer model is obtained Reliability distribution coefficients of each component unit in each model; optimize the reliability distribution coefficients of each component unit in each single-layer model, obtain the optimized reliability distribution coefficient, and complete the distribution of multi-level task reliability. The method for determining the core distribution coefficient of the present invention starts from the fault maintenance data, and is based on the occurrence characteristics of unit faults, without continuing the mutual fault occurrence relationship, and avoids the disadvantages of poor subjectivity and implementability of the traditional technical scheme.

Description

technical field [0001] The invention belongs to the technical field of reliability distribution of electromechanical equipment, and in particular relates to a multi-level task reliability distribution method and system. Background technique [0002] Reliability allocation technology is a key technology in the process of product reliability design. For electromechanical equipment, the same unit will have different reliability performance when installed in different electromechanical equipment, that is, the failure rate is not fixed, and standardization cannot be achieved. , which brings great difficulties to the reliability prediction of electromechanical equipment. Whether the prediction results are reasonable depends entirely on the rationality of the reliability distribution results. Especially in the initial stage of new product development, how to reasonably allocate the reliability level of each unit, identify weak points and To circumvent, there is no effective and fe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06312G06Q10/067
Inventor 田磊耿彦波薛璐
Owner JIANGSU XCMG CONSTR MASCH RES INST LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More