Evidence map›Paper›PMID 37238514›Full record

ArticleEntropy (Basel, Switzerland)2023

Failure Mode and Effects Analysis on the Air System of an Aero Turbofan Engine Using the Gaussian Model and Evidence Theory.

Yongchuan Tang, Yonghao Zhou, Ying Zhou, Yubo Huang, Deyun Zhou

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yongchuan TangSchool of Microelectronics, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0003-2568-9628
Yonghao ZhouSchool of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.
Ying ZhouSchool of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.
Yubo HuangSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.
Deyun ZhouSchool of Microelectronics, Northwestern Polytechnical University, Xi'an 710072, China.

Funding

Natural Science Basic Research Program of Shaanxi 2023-JC-QN-0689NWPU Research Fund for Young Scholars G2022WD01010
6 · The paper itself

Abstract

Failure mode and effects analysis (FMEA) is a proactive risk management approach. Risk management under uncertainty with the FMEA method has attracted a lot of attention. The Dempster-Shafer (D-S) evidence theory is a popular approximate reasoning theory for addressing uncertain information and it can be adopted in FMEA for uncertain information processing because of its flexibility and superiority in coping with uncertain and subjective assessments. The assessments coming from FMEA experts may include highly conflicting evidence for information fusion in the framework of D-S evidence theory. Therefore, in this paper, we propose an improved FMEA method based on the Gaussian model and D-S evidence theory to handle the subjective assessments of FMEA experts and apply it to deal with FMEA in the air system of an aero turbofan engine. First, we define three kinds of generalized scaling by Gaussian distribution characteristics to deal with potential highly conflicting evidence in the assessments. Then, we fuse expert assessments with the Dempster combination rule. Finally, we obtain the risk priority number to rank the risk level of the FMEA items. The experimental results show that the method is effective and reasonable in dealing with risk analysis in the air system of an aero turbofan engine.

Indexed as

aero turbofan engineDempster–Shafer evidence theoryfailure mode and effects analysisGaussian modelrisk management

Identifiers

PMID37238514
PMCPMC10217241

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.