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Failure mode evaluation method based on triangular distribution and evidence theory

A failure mode, triangular distribution technology, applied in the field of data processing

Inactive Publication Date: 2021-10-22
CHONGQING UNIV
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Problems solved by technology

However, how to deal with conflicting assessments from different FMEA experts remains an open question

Method used

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  • Failure mode evaluation method based on triangular distribution and evidence theory
  • Failure mode evaluation method based on triangular distribution and evidence theory
  • Failure mode evaluation method based on triangular distribution and evidence theory

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Embodiment Construction

[0031] The present invention will be described in further detail below.

[0032] In order to manage the conflict between different risk levels assessed by different FMEA experts, we propose a method to calculate the value of the basic probability assignment function (i.e., BPA value) under the framework of D-S theory.

[0033] Definition 1: RPN is composed of the product of the probability of risk occurrence (O), the severity of the risk when it occurs (S) and the probability of the risk being detected (D). The formula is as follows:

[0034] RPN=O×S×D (1)

[0035] In general, each risk factor can be measured on a 10-point scale from 1 to 10.

[0036] Table 1 Rating of the probability of occurrence of a failure mode

[0037]

[0038]

[0039] We use the RPN mean, which is the confidence of the failure mode, to replace the shortcomings of traditional RPN.

[0040] Definition 2: Assume that the nth failure mode has multiple ranking values, namely And their correspond...

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Abstract

The invention discloses a failure mode assessment method based on triangular distribution and an evidence theory, and the method comprises the steps: firstly carrying out the modeling of subjective risk assessment of field experts through employing a confidence structure in the D-S evidence theory, and then converting the assessment information with conflicts into a TDBPA model, so as to smooth the conflict information; then, fusing the evaluation information of the TDBPA model of the evaluation information of each expert by using a Dempster combination rule; and on the basis, calculating the confidence of the failure modes by using a result of fusing the risk factors, and sorting the failure models of the target system according to the confidence values of the failure modes. If the sequence is in the front, the priority of the failure mode corresponding to the confidence value in the target system is higher.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a failure mode evaluation method based on triangular distribution and evidence theory. Background technique [0002] Since the introduction of Failure Mode and Effects Analysis (FMEA) by NASA in the 1960s, as a tool of reliability analysis, it has been very effectively applied in the fields of risk assessment and decision-making. In these piracy applications, FMEAs are often used to ensure that potential risks are fully considered and properly addressed during the assessment process. The core part of this technology is the risk priority number (RPN), that is, the product failure probability (O), severity (S), and detection probability (D), that is, RPN=S×O×D. [0003] Although FMEA has many advantages, it also has some disadvantages. These three risk factors were scaled by experts on an integer scale from 1 to 10. However, with the increasing complexity of the target s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06K9/62G06F17/18
CPCG06Q10/0639G06Q10/0635G06F17/18G06F18/25
Inventor 唐永川郑海霞刘春燕雷晏
Owner CHONGQING UNIV
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