Evidence map›Paper›PMID 37836898›Full record

ArticleSensors (Basel, Switzerland)2023

Improved RAkEL's Fault Diagnosis Method for High-Speed Train Traction Transformer.

Man Li, Xinyi Zhou, Siyao Qin, Ziyan Bin, Yanhui Wang

Open access · goldAbstract read
In one paragraph

Article in Sensors (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
–field-weighted citation impact, top 88% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Man LiState Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0002-9958-1209
Xinyi ZhouState Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0001-9457-2664
Siyao QinSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.ORCID 0009-0000-8764-5933
Ziyan BinSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
Yanhui WangState Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, China.
Beijing Jiaotong University · CN

Funding

the State Key Laboratory of Rail Traffic Control and Safety RCS2022ZT006Youth Program of the National Natural Science Foundation of China 52002019
6 · The paper itself

Abstract

The traction system is very important to ensure the safe operation of high-speed trains, and the failure of the traction transformer is the most likely fault in the traction system. Fault diagnosis in actual work relies largely on manual experience. This paper proposes an improved RAkEL (Random

Indexed as

fault diagnosismulti-label classificationRAkELtraction transformer

Identifiers

PMID37836898
PMCPMC10574964
OpenAlexW4387024132

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.