Monitoring of dry sliding wear using fractal analysis

Jianbo Zhang; Paul Regtien; Maarten Korsten

Monitoring of dry sliding wear using fractal analysis

Jianbo Zhang, Paul Regtien, Maarten Korsten

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

39 Downloads (Pure)

Abstract

Reliable online monitoring of wear remains a challenge to tribology research as well as to the industry. This paper presents a new method for monitoring of dry sliding wear using digital imaging and fractal analysis. Fractal values, namely fractal dimension and intercept, computed from the power spectrum of the images of a wearing surface, are adopted as indicators of the dynamic wear process. Experimental results show that progressive changes of fractal values might reveal the wear status of the surface.

Original language	English
Title of host publication	Proceedings of the 10th IMEKO TC10 International Conference on Technical Diagnostics
Subtitle of host publication	9-10 June 2005, Budapest, Hungary
Editors	László Monostori, Zsolt János Viharos
Publisher	Hungarian Academy of Sciences
Pages	1-8
Number of pages	8
ISBN (Print)	9789638658647
Publication status	Published - 2005
Event	10th IMEKO TC10 Conference on Technical Diagnostics 2005 - Budapest Duration: 9 Jun 2005 → 10 Jun 2005 Conference number: 10

Conference

Conference	10th IMEKO TC10 Conference on Technical Diagnostics 2005
Abbreviated title	IMEKO TC10
City	Budapest
Period	9/06/05 → 10/06/05

Keywords

Dry sliding wear
Fractal analysis

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Zhang2005monitoringFinal published version, 488 KB

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@inproceedings{ef4269b4e6f743c185d3724e294672ab,

title = "Monitoring of dry sliding wear using fractal analysis",

abstract = "Reliable online monitoring of wear remains a challenge to tribology research as well as to the industry. This paper presents a new method for monitoring of dry sliding wear using digital imaging and fractal analysis. Fractal values, namely fractal dimension and intercept, computed from the power spectrum of the images of a wearing surface, are adopted as indicators of the dynamic wear process. Experimental results show that progressive changes of fractal values might reveal the wear status of the surface.",

keywords = "Dry sliding wear, Fractal analysis",

author = "Jianbo Zhang and Paul Regtien and Maarten Korsten",

note = "This work has been financially supported by STW (Dutch Technology Foundation) under the project TET. 5120.; 10th IMEKO TC10 Conference on Technical Diagnostics 2005, IMEKO TC10 ; Conference date: 09-06-2005 Through 10-06-2005",

year = "2005",

language = "English",

isbn = "9789638658647",

pages = "1--8",

editor = "L{\'a}szl{\'o} Monostori and Viharos, {Zsolt J{\'a}nos}",

booktitle = "Proceedings of the 10th IMEKO TC10 International Conference on Technical Diagnostics",

publisher = "Hungarian Academy of Sciences",

}

Monitoring of dry sliding wear using fractal analysis. / Zhang, Jianbo; Regtien, Paul; Korsten, Maarten.
Proceedings of the 10th IMEKO TC10 International Conference on Technical Diagnostics: 9-10 June 2005, Budapest, Hungary. ed. / László Monostori; Zsolt János Viharos. Hungarian Academy of Sciences, 2005. p. 1-8.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Monitoring of dry sliding wear using fractal analysis

AU - Zhang, Jianbo

AU - Regtien, Paul

AU - Korsten, Maarten

N1 - Conference code: 10

PY - 2005

Y1 - 2005

N2 - Reliable online monitoring of wear remains a challenge to tribology research as well as to the industry. This paper presents a new method for monitoring of dry sliding wear using digital imaging and fractal analysis. Fractal values, namely fractal dimension and intercept, computed from the power spectrum of the images of a wearing surface, are adopted as indicators of the dynamic wear process. Experimental results show that progressive changes of fractal values might reveal the wear status of the surface.

AB - Reliable online monitoring of wear remains a challenge to tribology research as well as to the industry. This paper presents a new method for monitoring of dry sliding wear using digital imaging and fractal analysis. Fractal values, namely fractal dimension and intercept, computed from the power spectrum of the images of a wearing surface, are adopted as indicators of the dynamic wear process. Experimental results show that progressive changes of fractal values might reveal the wear status of the surface.

KW - Dry sliding wear

KW - Fractal analysis

M3 - Conference contribution

SN - 9789638658647

SP - 1

EP - 8

BT - Proceedings of the 10th IMEKO TC10 International Conference on Technical Diagnostics

A2 - Monostori, László

A2 - Viharos, Zsolt János

PB - Hungarian Academy of Sciences

T2 - 10th IMEKO TC10 Conference on Technical Diagnostics 2005

Y2 - 9 June 2005 through 10 June 2005

ER -

Monitoring of dry sliding wear using fractal analysis

Abstract

Conference

Keywords

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