Evidence map›Paper›PMID 39517970›Full record

ArticleSensors (Basel, Switzerland)2024

A Novel Diagnostic Feature for a Wind Turbine Imbalance Under Variable Speed Conditions.

Amir R Askari, Len Gelman, Russell King, Daryl Hickey, Andrew D Ball

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

5 authors.

Amir R AskariDepartment of Engineering, School of Computing and Engineering, The University of Huddersfield, Huddersfield HD1 3DH, UK.ORCID 0000-0002-8090-7926
Len GelmanDepartment of Engineering, School of Computing and Engineering, The University of Huddersfield, Huddersfield HD1 3DH, UK.
Russell KingSensonics Ltd., 3 Northbridge Rd, Berkhamsted HP4 1EF, UK.
Daryl HickeyNatural Power, 120 Bath St, Glasgow G2 2EN, UK.
Andrew D BallDepartment of Engineering, School of Computing and Engineering, The University of Huddersfield, Huddersfield HD1 3DH, UK.ORCID 0000-0002-8593-6830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dependency between the conventional imbalance diagnostic feature and the shaft rotational speed makes imbalance diagnosis challenging for variable-speed machines. This paper focuses on an investigation of this dependency and on a proposal for a novel imbalance diagnostic feature and a novel simplified version for this feature, which are independent of shaft rotational speed. An equivalent mass-spring-damper system is investigated to find a closed-form expression describing this dependency. By normalizing the conventional imbalance diagnostic feature by the obtained dependency, a diagnostic feature is proposed. By conducting comprehensive experimental trials with a wind turbine with a permissible imbalance, it is justified that the proposed simplified version of imbalance diagnostic feature is speed-invariant.

Indexed as

fault diagnosisrotating machinerysignal processing

Identifiers

PMID39517970
PMCPMC11548104

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.