Error Analysis and Modeling of a Large Component Assembly Monitoring System Based on Multi-Sensor Fusion.

Zhenggang Guo, Feng Lu, Tizhao Jiao, Jingqi Yu, Fu Chang

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. 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

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.

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.

Zhenggang GuoSchool of Mechanical Engineering, Dalian University of Technology of China, Dalian 116024, China.ORCID 0000-0002-4807-3765

Feng LuSchool of Mechanical Engineering, Dalian University of Technology of China, Dalian 116024, China.

Tizhao JiaoSchool of Mechanical Engineering, Dalian University of Technology of China, Dalian 116024, China.

Jingqi YuSchool of Mechanical Engineering, Dalian University of Technology of China, Dalian 116024, China.

Fu ChangSchool of Mechanical Engineering, Dalian University of Technology of China, Dalian 116024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large components are crucial in modern industrial applications, especially for internal gap monitoring and specific assembly methods. This paper examines the assembly of hydroelectric generator rotors and stators, introducing a spatial relative position monitoring system using multiple sensors. A dedicated position monitoring program is designed, and error sources within the system are thoroughly explored. Detailed error analysis and modeling reveal that verticality and angular errors significantly impact monitoring accuracy. To address this, two error control methods are proposed to effectively mitigate these issues, ensuring precise assembly of large components.

Indexed as

error analysis and modelinghydroelectric generator rotor and statorlarge componentsmulti-sensorrelative position in space

Identifiers

PMID39338737

DOI10.3390/s24185992

PMCPMC11435650

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.