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Failure mode risk sorting method based on RCM-PROMETHEE

A failure mode and sorting method technology, applied in the field of failure mode risk sorting based on RCM-PROMETHEE, can solve the problem of low reliability of risk sorting

Pending Publication Date: 2021-08-03
HENAN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a failure mode risk ranking method based on RCM-PROMETHEE, which is used to solve the problem that the existing method carries out risk ranking of failure modes with low reliability

Method used

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  • Failure mode risk sorting method based on RCM-PROMETHEE
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  • Failure mode risk sorting method based on RCM-PROMETHEE

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Embodiment

[0057] This embodiment proposes a failure mode risk ranking method based on RCM-PROMETHEE. The overall process of the method is as follows figure 1 As shown, the basic idea of ​​its realization is to use the rough set model to process the risk assessment matrix to obtain the rough set interval of the risk assessment matrix to form a rough set assessment matrix; then use the cloud model to process the rough set assessment matrix to obtain the The rough set evaluation matrix is ​​converted into a rough cloud evaluation matrix, and the rough cloud evaluation value of each element in the risk evaluation matrix is ​​obtained, and the expert evaluation weight is weighted on this value to obtain a weighted rough cloud evaluation matrix; then, using each element in the matrix The distance between the two rough cloud evaluation values ​​under the risk element constructs a preference function, and combines the comprehensive weight of each risk element to calculate the overall risk value...

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Abstract

The invention relates to a failure mode risk ranking method based on RCM-PROMETHEE, and belongs to the field of reliability analys.The method comprises the steps that a risk assessment matrix is processed through a rough set model, a rough set interval of the risk assessment matrix is obtained, and a rough set assessment matrix is formed; the rough set assessment matrix is processed by using a cloud model to convert the rough set assessment matrix into a rough cloud assessment matrix, a rough cloud assessment value of each element in the risk assessment matrix is obtained, and expert assessment weights are weighted on the values to obtain a weighted rough cloud assessment matrix; a preference function is constructed by utilizing the distance between two rough cloud assessment values under each risk element in the matrix, a total risk value between two failure modes is calculated by combining with the comprehensive weight of each risk element, and the outflow quantity and inflow quantity of each failure mode are calculated according to the total risk value, and the difference value between the outflow quantity and inflow quantity is taken as net flow; and finally, the net flows of failure modes are sorted so as to obtain an overall risk sequence of the failure modes, and the reliability is relatively high.

Description

technical field [0001] The invention belongs to the technical field of reliability analysis, and in particular relates to a failure mode risk ranking method based on RCM-PROMETHEE. Background technique [0002] Failure Mode and Effects Analysis (FMEA) was first proposed by the American aerospace industry as a systematic and structural method to ensure the reliability and safety of system operation. Nowadays, it has been widely used in aerospace, automobile manufacturing, medical service and other industries. The traditional FMEA evaluates each potential failure mode from the three aspects of frequency (O), severity (S) and detectability (D), and uses the product of the three (RPN) as the criterion for judging the importance of the failure mode. [0003] However, there are some defects in the traditional FMEA, including: 1) different O, S, D may get the same RPN value; 2) the weight of risk elements is not considered; 3) the measurement of each risk element has a large subje...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/06G06F119/02
CPCG06F30/20G06Q10/06316G06Q10/0635G06Q10/0639G06F2119/02
Inventor 邱明牛凯岑李军星李燕科庞晓旭董艳方杨传猛陈立海杜辉李迎春许艳雷
Owner HENAN UNIV OF SCI & TECH
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