Fractal Geometry and its Application to Vibration Faults Diagnosis for Rotating Machinery

The vibration waves and shaft center orbits, which contain rich information about the failure of rotating machinery, have fractal characteristics. Studying their fractal characteristics may help to know the working conditions or even the failure trends of the rotating machinery. In this paper, the f...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Key engineering materials 2003-01, Vol.245-246, p.265-272
Hauptverfasser: Jiang, Dong Xiang, E, Chunsheng, Ni, Wei Dou
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 272
container_issue
container_start_page 265
container_title Key engineering materials
container_volume 245-246
creator Jiang, Dong Xiang
E, Chunsheng
Ni, Wei Dou
description The vibration waves and shaft center orbits, which contain rich information about the failure of rotating machinery, have fractal characteristics. Studying their fractal characteristics may help to know the working conditions or even the failure trends of the rotating machinery. In this paper, the fundamental conceptions and properties of fractal geometry are discussed. The definitions of fractal dimension are described. The fractal characteristics of vibration waves and orbits are studied. The SVA and SGA Algorithm are introduced to compute the fractal dimensions of the vibration waves and the orbits. The method is then used to abstract vibration failure symptoms of rotating machinery. Some applications of fractal dimension in rotating machinery fault diagnosis are discussed.
doi_str_mv 10.4028/www.scientific.net/KEM.245-246.265
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_27871554</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>27871554</sourcerecordid><originalsourceid>FETCH-LOGICAL-c369t-fdaee40503e07c75ef1b375c19d4216e2c7e51c007e06df95cf952203be21c0a3</originalsourceid><addsrcrecordid>eNqVkF9LwzAUxYsoOKffIU8-CO2StEnbx7m5KW4IooJPIUtvt4wumUnK2Lc3MsFnHy73zzkcuL8kuSM4KzCtRofDIfNKgwm61SozEEbPD8uMFiylBc8oZ2fJgHBO07qs2XmcMcnTuqL8MrnyfotxTirCBsnnzEkVZIfmYHcQ3BFJ0yAdPBrv951WMmhrULDoQ6_caZnJvov6VMu1sV571FqHXm2IqlmjpVQbbcAdr5OLVnYebn77MHmfPbxNHtPFy_xpMl6kKud1SNtGAhSY4RxwqUoGLVnlJVOkbgpKOFBVAiMK4xIwb9qaqViU4nwFNJ5lPkxuT7l7Z7968EHstFfQddKA7b2gZVUSxopovD8ZlbPeO2jF3umddEdBsPihKiJV8UdVRKoiUhWRaiwuItUYMj2FBCeND6A2Ymt7Z-KH_4n5Bt3ajBs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>27871554</pqid></control><display><type>article</type><title>Fractal Geometry and its Application to Vibration Faults Diagnosis for Rotating Machinery</title><source>Scientific.net Journals</source><creator>Jiang, Dong Xiang ; E, Chunsheng ; Ni, Wei Dou</creator><creatorcontrib>Jiang, Dong Xiang ; E, Chunsheng ; Ni, Wei Dou</creatorcontrib><description>The vibration waves and shaft center orbits, which contain rich information about the failure of rotating machinery, have fractal characteristics. Studying their fractal characteristics may help to know the working conditions or even the failure trends of the rotating machinery. In this paper, the fundamental conceptions and properties of fractal geometry are discussed. The definitions of fractal dimension are described. The fractal characteristics of vibration waves and orbits are studied. The SVA and SGA Algorithm are introduced to compute the fractal dimensions of the vibration waves and the orbits. The method is then used to abstract vibration failure symptoms of rotating machinery. Some applications of fractal dimension in rotating machinery fault diagnosis are discussed.</description><identifier>ISSN: 1013-9826</identifier><identifier>ISSN: 1662-9795</identifier><identifier>EISSN: 1662-9795</identifier><identifier>DOI: 10.4028/www.scientific.net/KEM.245-246.265</identifier><language>eng</language><publisher>Trans Tech Publications Ltd</publisher><ispartof>Key engineering materials, 2003-01, Vol.245-246, p.265-272</ispartof><rights>2003 Trans Tech Publications Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-fdaee40503e07c75ef1b375c19d4216e2c7e51c007e06df95cf952203be21c0a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/472?width=600</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Jiang, Dong Xiang</creatorcontrib><creatorcontrib>E, Chunsheng</creatorcontrib><creatorcontrib>Ni, Wei Dou</creatorcontrib><title>Fractal Geometry and its Application to Vibration Faults Diagnosis for Rotating Machinery</title><title>Key engineering materials</title><description>The vibration waves and shaft center orbits, which contain rich information about the failure of rotating machinery, have fractal characteristics. Studying their fractal characteristics may help to know the working conditions or even the failure trends of the rotating machinery. In this paper, the fundamental conceptions and properties of fractal geometry are discussed. The definitions of fractal dimension are described. The fractal characteristics of vibration waves and orbits are studied. The SVA and SGA Algorithm are introduced to compute the fractal dimensions of the vibration waves and the orbits. The method is then used to abstract vibration failure symptoms of rotating machinery. Some applications of fractal dimension in rotating machinery fault diagnosis are discussed.</description><issn>1013-9826</issn><issn>1662-9795</issn><issn>1662-9795</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqVkF9LwzAUxYsoOKffIU8-CO2StEnbx7m5KW4IooJPIUtvt4wumUnK2Lc3MsFnHy73zzkcuL8kuSM4KzCtRofDIfNKgwm61SozEEbPD8uMFiylBc8oZ2fJgHBO07qs2XmcMcnTuqL8MrnyfotxTirCBsnnzEkVZIfmYHcQ3BFJ0yAdPBrv951WMmhrULDoQ6_caZnJvov6VMu1sV571FqHXm2IqlmjpVQbbcAdr5OLVnYebn77MHmfPbxNHtPFy_xpMl6kKud1SNtGAhSY4RxwqUoGLVnlJVOkbgpKOFBVAiMK4xIwb9qaqViU4nwFNJ5lPkxuT7l7Z7968EHstFfQddKA7b2gZVUSxopovD8ZlbPeO2jF3umddEdBsPihKiJV8UdVRKoiUhWRaiwuItUYMj2FBCeND6A2Ymt7Z-KH_4n5Bt3ajBs</recordid><startdate>20030101</startdate><enddate>20030101</enddate><creator>Jiang, Dong Xiang</creator><creator>E, Chunsheng</creator><creator>Ni, Wei Dou</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope></search><sort><creationdate>20030101</creationdate><title>Fractal Geometry and its Application to Vibration Faults Diagnosis for Rotating Machinery</title><author>Jiang, Dong Xiang ; E, Chunsheng ; Ni, Wei Dou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-fdaee40503e07c75ef1b375c19d4216e2c7e51c007e06df95cf952203be21c0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Dong Xiang</creatorcontrib><creatorcontrib>E, Chunsheng</creatorcontrib><creatorcontrib>Ni, Wei Dou</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>Key engineering materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Dong Xiang</au><au>E, Chunsheng</au><au>Ni, Wei Dou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fractal Geometry and its Application to Vibration Faults Diagnosis for Rotating Machinery</atitle><jtitle>Key engineering materials</jtitle><date>2003-01-01</date><risdate>2003</risdate><volume>245-246</volume><spage>265</spage><epage>272</epage><pages>265-272</pages><issn>1013-9826</issn><issn>1662-9795</issn><eissn>1662-9795</eissn><abstract>The vibration waves and shaft center orbits, which contain rich information about the failure of rotating machinery, have fractal characteristics. Studying their fractal characteristics may help to know the working conditions or even the failure trends of the rotating machinery. In this paper, the fundamental conceptions and properties of fractal geometry are discussed. The definitions of fractal dimension are described. The fractal characteristics of vibration waves and orbits are studied. The SVA and SGA Algorithm are introduced to compute the fractal dimensions of the vibration waves and the orbits. The method is then used to abstract vibration failure symptoms of rotating machinery. Some applications of fractal dimension in rotating machinery fault diagnosis are discussed.</abstract><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/KEM.245-246.265</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1013-9826
ispartof Key engineering materials, 2003-01, Vol.245-246, p.265-272
issn 1013-9826
1662-9795
1662-9795
language eng
recordid cdi_proquest_miscellaneous_27871554
source Scientific.net Journals
title Fractal Geometry and its Application to Vibration Faults Diagnosis for Rotating Machinery
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T17%3A36%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fractal%20Geometry%20and%20its%20Application%20to%20Vibration%20Faults%20Diagnosis%20for%20Rotating%20Machinery&rft.jtitle=Key%20engineering%20materials&rft.au=Jiang,%20Dong%20Xiang&rft.date=2003-01-01&rft.volume=245-246&rft.spage=265&rft.epage=272&rft.pages=265-272&rft.issn=1013-9826&rft.eissn=1662-9795&rft_id=info:doi/10.4028/www.scientific.net/KEM.245-246.265&rft_dat=%3Cproquest_cross%3E27871554%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=27871554&rft_id=info:pmid/&rfr_iscdi=true