Damage assessment of mechanical systems based on recurrence quantification analysis

Yuning Qian; Ruqiang Yan; Mengxiao Shan

doi:10.1109/PHM.2012.6228835

Damage assessment of mechanical systems based on recurrence quantification analysis

Yuning Qian
, Ruqiang Yan
, Mengxiao Shan

Southeast University, Nanjing

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

This paper presents a new application of recurrence quantification analysis (RQA) for damage severity assessment of mechanical systems. As a nonlinear time series technique, the recurrence quantification analysis derives quantitative measures from the recurrence plot (RP) to quantitatively characterize changing dynamics of a given system in the reconstructed phase space. In the present study, four quantitative measures, recurrence rate (RR), determinism (DET), laminarity (LAM), and RP entropy (ENTR), are investigated as quantitative indicators for damage severity assessment of rolling bearings. Based on analysis results of experimental data acquired from a series of SKF 6205 bearings with different damage locations and under different operation conditions, ENTR and LAM are found to be suited for evaluating their damage severities.

Original language	English
DOIs	https://doi.org/10.1109/PHM.2012.6228835
State	Published - 2012
Externally published	Yes
Event	2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 - Beijing, China Duration: 23 May 2012 → 25 May 2012

Conference

Conference	2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012
Country/Territory	China
City	Beijing
Period	23/05/12 → 25/05/12

Keywords

damage severity assessment
recurrence plot
recurrence quantification analysis

Access to Document

10.1109/PHM.2012.6228835

Cite this

@conference{d8fdf82d96a74fbbaed57f807dc34ca9,

title = "Damage assessment of mechanical systems based on recurrence quantification analysis",

abstract = "This paper presents a new application of recurrence quantification analysis (RQA) for damage severity assessment of mechanical systems. As a nonlinear time series technique, the recurrence quantification analysis derives quantitative measures from the recurrence plot (RP) to quantitatively characterize changing dynamics of a given system in the reconstructed phase space. In the present study, four quantitative measures, recurrence rate (RR), determinism (DET), laminarity (LAM), and RP entropy (ENTR), are investigated as quantitative indicators for damage severity assessment of rolling bearings. Based on analysis results of experimental data acquired from a series of SKF 6205 bearings with different damage locations and under different operation conditions, ENTR and LAM are found to be suited for evaluating their damage severities.",

keywords = "damage severity assessment, recurrence plot, recurrence quantification analysis",

author = "Yuning Qian and Ruqiang Yan and Mengxiao Shan",

year = "2012",

doi = "10.1109/PHM.2012.6228835",

language = "英语",

note = "2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 ; Conference date: 23-05-2012 Through 25-05-2012",

}

TY - CONF

T1 - Damage assessment of mechanical systems based on recurrence quantification analysis

AU - Qian, Yuning

AU - Yan, Ruqiang

AU - Shan, Mengxiao

PY - 2012

Y1 - 2012

N2 - This paper presents a new application of recurrence quantification analysis (RQA) for damage severity assessment of mechanical systems. As a nonlinear time series technique, the recurrence quantification analysis derives quantitative measures from the recurrence plot (RP) to quantitatively characterize changing dynamics of a given system in the reconstructed phase space. In the present study, four quantitative measures, recurrence rate (RR), determinism (DET), laminarity (LAM), and RP entropy (ENTR), are investigated as quantitative indicators for damage severity assessment of rolling bearings. Based on analysis results of experimental data acquired from a series of SKF 6205 bearings with different damage locations and under different operation conditions, ENTR and LAM are found to be suited for evaluating their damage severities.

AB - This paper presents a new application of recurrence quantification analysis (RQA) for damage severity assessment of mechanical systems. As a nonlinear time series technique, the recurrence quantification analysis derives quantitative measures from the recurrence plot (RP) to quantitatively characterize changing dynamics of a given system in the reconstructed phase space. In the present study, four quantitative measures, recurrence rate (RR), determinism (DET), laminarity (LAM), and RP entropy (ENTR), are investigated as quantitative indicators for damage severity assessment of rolling bearings. Based on analysis results of experimental data acquired from a series of SKF 6205 bearings with different damage locations and under different operation conditions, ENTR and LAM are found to be suited for evaluating their damage severities.

KW - damage severity assessment

KW - recurrence plot

KW - recurrence quantification analysis

UR - https://www.scopus.com/pages/publications/84866150098

U2 - 10.1109/PHM.2012.6228835

DO - 10.1109/PHM.2012.6228835

M3 - 论文

AN - SCOPUS:84866150098

T2 - 2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012

Y2 - 23 May 2012 through 25 May 2012

ER -

Damage assessment of mechanical systems based on recurrence quantification analysis

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this