Application of recurrence dynamic analysis to running-in state recognition

Peng, Minglong; Zhou, Yuankai; Zuo, Xue

doi:10.1108/ilt-12-2020-0481

Cited by 3 publications

(2 citation statements)

References 23 publications

(25 reference statements)

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“…According to references [29][30][31], the friction coefficient commonly varied with the wear process and was related to the wear stages and the initial wear process with an upward or downward trend of the friction coefficient could be regarded as the running-in in wear stage. While the friction coefficient became stable, the friction pair entered a stable wear stage.…”

Section: Wear State Change Analysismentioning

confidence: 99%

“…Approximately 5 min later, the friction pair entered the stable wear stage and the RMS of the extracted "weak" FIV and FIS developed in the second stage. One feature was that the two RMS values fluctuated smoothly around 0.019 m/s 2 According to references [29][30][31], the friction coefficient commonly varied with the wear process and was related to the wear stages and the initial wear process with an upward or downward trend of the friction coefficient could be regarded as the running-in wear stage. While the friction coefficient became stable, the friction pair entered a stable wear stage.…”

Section: Change Of the Extracted "Weak" Fivmentioning

confidence: 99%

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A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

Xing

Zhu

et al. 2023

Applied Sciences

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The “weak” friction-induced vibration can help to monitor the change in friction and wear state of friction pairs and detect the failure of surface damage. However, they are typically submerged in complex interference components during friction. Therefore, detecting accurate “weak” friction-induced vibration is key to using it entirely. A method based on the correlation between friction-induced vibration and sound signals was proposed to achieve this goal. The ball–disk wear experiments were conducted under oil lubrication using a wear tester. Vibration and sound pressure signals generated during the experiments were recorded. By the spectrum analysis of the cross-correlation function calculated from the two types of signals, the “weak” FIV components submerged in the original signals were detected. The experimental results showed that the root mean square change of the “weak” friction-induced vibration detected in the vibration and sound pressure signals was highly consistent with the friction coefficient change. It could effectively characterize the transition of the wear stage from running-in to stable wear of the friction pairs. Therefore, the cross-correlation analysis of vibration and sound signals could be a reliable tool for detecting the “weak” friction-induced vibration.

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Section: Wear State Change Analysismentioning

confidence: 99%

Section: Change Of the Extracted "Weak" Fivmentioning

confidence: 99%

A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

Xing

Zhu

et al. 2023

Applied Sciences

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Dynamic misalignment effects on performance of dynamically loaded journal bearings

Xiong,

Zhang,

Mao

et al. 2024

International Journal of Mechanical Sciences

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Exploring recursive properties and dynamical complexity in scalar time-series using threshold-free recursive analysis approach

Sun,

Wang,

Wang

et al. 2024

AIP Advances

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In this project, a threshold-free recursive analysis approach was investigated to reveal the recursive properties of dynamic systems. Specifically, the occurrence of recurrent patterns in phase trajectory was identified by a threshold-free recursive matrix whose elements would possess continuous values within the interval of [0, 1] and are inversely proportional to the distance between phase points. Subsequently, mapping and feature extraction were carried out to visualize and quantify the threshold-free recursive matrix. Theoretical time-series, along with observed time-series in the fields of engineering, finance, and hydrology, have been utilized to validate the efficacy of this approach. The results demonstrate the applicability of this method in analyzing the dynamic characteristics of scalar time-series. Furthermore, the rebuilt grayscale recurrence plot morphology and extracted measures through grayscale recurrence quantification analysis measures can effectively unveil the dynamical complexity of nonlinear systems by offering more precise analysis outcomes for investigating the evolution of recursive characteristics.

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Application of recurrence dynamic analysis to running-in state recognition

Cited by 3 publications

References 23 publications

A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

Dynamic misalignment effects on performance of dynamically loaded journal bearings

Exploring recursive properties and dynamical complexity in scalar time-series using threshold-free recursive analysis approach

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