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...
Gespeichert in:
Veröffentlicht in: | Key engineering materials 2003-01, Vol.245-246, p.265-272 |
---|---|
Hauptverfasser: | , , |
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 & 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 |