Evidence map›Paper›PMID 37050443›Full record

ArticleSensors (Basel, Switzerland)2023

Research on Manufacturing Equipment Operation State Evaluation Technology Based on Fractional Calculus.

Yanhong Zuo, Hua Cheng, Guoqing Geng, Shilong Xia, Chao Zhou

Abstract 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
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.

Yanhong ZuoSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.ORCID 0000-0002-4227-0338
Hua ChengSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.
Guoqing GengSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.
Shilong XiaSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.
Chao ZhouSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.

Funding

National Natural Science Foundation of China 51778004National Natural Science Foundation of China 51878005
6 · The paper itself

Abstract

The operational status of manufacturing equipment is directly related to the reliability of the operation of manufacturing equipment and the continuity of operation of the production system. Based on the analysis of the operation status of manufacturing equipment and its characteristics, it is proposed that the concept of assessing the operation status of manufacturing equipment can be realized by applying the real-time acquisition of accurate inspection data of important parts of weak-motion units and comparing them with their motion status evaluation criteria. A differential data fusion model based on the fractional-order differential operator is established through the study of the application characteristics of fractional-order calculus theory. The advantages of Internet of Things (IoT) technology and a fractional order differential fusion algorithm are integrated to obtain real-time high-precision data of the operating parameters of manufacturing equipment, and the research objective of the operating condition assessment of manufacturing equipment is realized. The feasibility and effectiveness of the method are verified by applying the method to the machining center operation status assessment.

Indexed as

effective evaluationfractional order calculusmanufacturing equipmentoperational status

Identifiers

PMID37050443
PMCPMC10099062

What OpenQuestion holds

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LicenceCC BY
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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.