Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis.

Xiu Yin, Xiyu Liu, Minghe Sun, Jianping Dong, Gexiang Zhang

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

On the Term Set's Semantics for Pairwise Comparisons in Fuzzy Linguistic Preference Models.Entropy (Basel, Switzerland) · 2023
Article

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.

Xiu YinAcademy of Management Science, Business School, Shandong Normal University, Jinan 250014, China.

Xiyu LiuAcademy of Management Science, Business School, Shandong Normal University, Jinan 250014, China.ORCID 0000-0003-4976-9227

Minghe SunCollege of Business, The University of Texas at San Antonio, San Antonio, TX 78249, USA.ORCID 0000-0001-8503-9761

Jianping DongResearch Center for Artificial Intelligence, Chengdu University of Technology, Chengdu 610059, China.

Gexiang ZhangSchool of Automation, Chengdu University of Information Technology, Chengdu 610225, China.ORCID 0000-0001-8034-0977

Funding

The National Natural Science Foundation of China 61876101, 61802234, 61806114

6 · The paper itself

Abstract

The fuzzy reasoning numerical spiking neural P systems (FRNSN P systems) are proposed by introducing the interval-valued triangular fuzzy numbers into the numerical spiking neural P systems (NSN P systems). The NSN P systems were applied to the SAT problem and the FRNSN P systems were applied to induction motor fault diagnosis. The FRNSN P system can easily model fuzzy production rules for motor faults and perform fuzzy reasoning. To perform the inference process, a FRNSN P reasoning algorithm was designed. During inference, the interval-valued triangular fuzzy numbers were used to characterize the incomplete and uncertain motor fault information. The relative preference relationship was used to estimate the severity of various faults, so as to warn and repair the motors in time when minor faults occur. The results of the case studies showed that the FRNSN P reasoning algorithm can successfully diagnose single and multiple induction motor faults and has certain advantages over other existing methods.

Indexed as

fault diagnosisfuzzy reasoning numerical spiking neural P systemsinterval-valued triangular fuzzy numbers

Identifiers

PMID37420405

DOI10.3390/e24101385

PMCPMC9601594

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.