Evidence map›Paper›PMID 33285831›Full record

ArticleEntropy (Basel, Switzerland)2019

Information Dynamic Correlation of Vibration in Nonlinear Systems.

Zhe Wu, Guang Yang, Qiang Zhang, Shengyue Tan, Shuyong Hou

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2019. 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.

Zhe WuSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Guang YangSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Qiang ZhangSchool of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing 100081, China.
Shengyue TanSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Shuyong HouSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Funding

China National Key Laboratory of vehicle transmission fund project 9140C340101101Hebei University Science and Technology Research Youth Fund Project QN2018168National Natural Science Foundation of China 51705130National Natural Science Foundation of China 51706058
6 · The paper itself

Abstract

In previous studies, information dynamics methods such as Von Neumann entropy and Rényi entropy played an important role in many fields, covering both macroscopic and microscopic studies. They have a solid theoretical foundation, but there are few reports in the field of mechanical nonlinear systems. So, can we apply Von Neumann entropy and Rényi entropy to study and analyze the dynamic behavior of macroscopic nonlinear systems? In view of the current lack of suitable methods to characterize the dynamics behavior of mechanical systems from the perspective of nonlinear system correlation, we propose a new method to describe the nonlinear features and coupling relationship of mechanical systems. This manuscript verifies the above hypothesis by using a typical chaotic system and a real macroscopic physical nonlinear system through theory and practical methods. The nonlinear vibration correlation in multi-body mechanical systems is very complex. We propose a full-vector multi-scale Rényi entropy for exploring the chaos and correlation between the dynamic behaviors of mechanical nonlinear systems. The research results prove the effectiveness of the proposed method in modal identification, system dynamics evolution and fault diagnosis of nonlinear systems. It is of great significance to extend these studies to the field of mechanical nonlinear system dynamics.

Indexed as

full vector multi-scale Rényi entropyinformation dynamics correlationnonlinear systemRényi entropyVon Neumann entropy

Identifiers

PMID33285831
PMCPMC7516488

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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.