Evidence map›Paper›PMID 34539769›Full record

ArticleComputational intelligence and neuroscience2021

Sensor Fault Diagnosis Method Based on

Xuezhen Cheng, Dafei Wang, Chuannuo Xu, Jiming Li

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Xuezhen ChengCollege of Electrical and Automation Engineering., Shandong University of Science and Technology, No. 579 Qianwangang Road, Qingdao 266590, China.ORCID https://orcid.org/0000-0001-7313-4307
Dafei WangCollege of Electrical and Automation Engineering., Shandong University of Science and Technology, No. 579 Qianwangang Road, Qingdao 266590, China.ORCID https://orcid.org/0000-0002-3444-3665
Chuannuo XuCollege of Electrical and Automation Engineering., Shandong University of Science and Technology, No. 579 Qianwangang Road, Qingdao 266590, China.ORCID https://orcid.org/0000-0002-0346-0454
Jiming LiCollege of Electrical and Automation Engineering., Shandong University of Science and Technology, No. 579 Qianwangang Road, Qingdao 266590, China.ORCID https://orcid.org/0000-0002-5570-9952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aimed to address the low diagnostic accuracy caused by the similar data distribution of sensor partial faults, a sensor fault diagnosis method is proposed on the basis of

Indexed as

AlgorithmsSupport Vector MachinePrincipal Component Analysis

Identifiers

PMID34539769
PMCPMC8448603

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.