Fault Feature-Extraction Method of Aviation Bearing Based on Maximum Correlation Re'nyi Entropy and Phase-Space Reconstruction Technology.

Zhen Zhang, Baoguo Liu, Yanxu Liu, Huiguang Zhang

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Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

1.1field-weighted citation impact, top 24% of its field

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.

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3 · Its place in the literature

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2 citing papers in PubMed, 9 citations in OpenAlex.

Color Recurrence Plots from Uniform Delay Embeddings for Bearing Degradation Tracking and Prognostics.Entropy (Basel, Switzerland) · 2026
Article
Performance Evaluation of Complex Equipment Considering Resume Information.Entropy (Basel, Switzerland) · 2022
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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Zhen ZhangSchool of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.

Baoguo LiuHenan Key Laboratory of Superabrasive Grinding Equipment, Henan University of Technology, Zhengzhou 450001, China.

Yanxu LiuHenan Key Laboratory of Superabrasive Grinding Equipment, Henan University of Technology, Zhengzhou 450001, China.

Huiguang ZhangSchool of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.

Henan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the difficulty of extracting the features of composite-fault signals under a low signal-to-noise ratio and complex noise conditions, a feature-extraction method based on phase-space reconstruction and maximum correlation Re'nyi entropy deconvolution is proposed. Using the Re'nyi entropy as the performance index, which allows for a favorable trade-off between sporadic noise stability and fault sensitivity, the noise-suppression and decomposition characteristics of singular-value decomposition are fully utilized and integrated into the feature extraction of composite-fault signals by the maximum correlation Re'nyi entropy deconvolution. Verification based on simulation, experimental data, and a bench test proves that the proposed method is superior to the existing methods regarding the extraction of composite-fault signal features.

Indexed as

composite faultdeconvolutionphase-space reconstructionRe’nyi entropyrolling bearing

Identifiers

PMID37420479

DOI10.3390/e24101459

PMCPMC9601500

OpenAlexW4306149321

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LicenceCC BY

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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.