Detection Method of Gradual Fault Signal Based on Wavelet Transform in the Dynamic System
The non-stationary signal is classified into the abrupt singular signal and the gradual singular signal. Because the fault of closed-loop control system is difficult to detect the initial moment when the fault happened, and often there is a more serious consequences once the fault was detected. A ne...
Gespeichert in:
| Veröffentlicht in: | Applied Mechanics and Materials 2011-01, Vol.44-47, p.3790-3794 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 3794 |
|---|---|
| container_issue | |
| container_start_page | 3790 |
| container_title | Applied Mechanics and Materials |
| container_volume | 44-47 |
| creator | Wang, Zhan Feng Lv, Feng Du, Hai Lian Du, Wen Xia |
| description | The non-stationary signal is classified into the abrupt singular signal and the gradual singular signal. Because the fault of closed-loop control system is difficult to detect the initial moment when the fault happened, and often there is a more serious consequences once the fault was detected. A new method is proposed which can predict whether the fault happened through the trend signal of a dynamic system. The trend signal was got by the wavelet transform of the detected signal. In order to verify the effectiveness of the method, the leak fault was installed in the process control water tank experiment system, and the signal of liquid level and flow was collected. The gradual leak fault was found through the trend signal in low frequency which was got by the wavelet multi-scale resolution, so the practicability of the proposed method was proved. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.44-47.3790 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1443700414</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3105217381</sourcerecordid><originalsourceid>FETCH-LOGICAL-c301t-c8e34626cc248d250c1023029ae65a3ffa160b938774fd7150b0e8df77bcc7f3</originalsourceid><addsrcrecordid>eNqNkE9PAjEQxRv_JAr6HZp48rDLdDtslyOCoAnEAyTGU1O6rSyBXWyLhG9vERM9eppM3subeT9C7hmkCFnR2e_3qdeVqUNlK53WJnT602mKmKBIuejBGblmeZ4lAovsnLQ4cFF0AZBffAuQ9DjPr0jL-xVAjgyLa_I2NMHoUDU1nZqwbEraWDp2qtypNR2p3TrQWfVex-VBeRPVmr6qT7M2gc6dqr1t3IZWNQ1LQ4eHWm0qTWcHH8zmhlxatfbm9me2yXz0OB88JZOX8fOgP0k0BxYSXRiOeZZrnWFRZl3QDDIOWU-ZvKu4tYrlsOjxQgi0pWBdWIApSivEQmtheZvcnWK3rvnYGR_kqtm5-LCXDJGL2J9hdPVPLu0a752xcuuqjXIHyUAe6cpIV_7SlZGujHQlokQhj3RjxuCUEY7FI7Xln1P_TvkCVAWKZA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1443700414</pqid></control><display><type>article</type><title>Detection Method of Gradual Fault Signal Based on Wavelet Transform in the Dynamic System</title><source>Scientific.net Journals</source><creator>Wang, Zhan Feng ; Lv, Feng ; Du, Hai Lian ; Du, Wen Xia</creator><creatorcontrib>Wang, Zhan Feng ; Lv, Feng ; Du, Hai Lian ; Du, Wen Xia</creatorcontrib><description>The non-stationary signal is classified into the abrupt singular signal and the gradual singular signal. Because the fault of closed-loop control system is difficult to detect the initial moment when the fault happened, and often there is a more serious consequences once the fault was detected. A new method is proposed which can predict whether the fault happened through the trend signal of a dynamic system. The trend signal was got by the wavelet transform of the detected signal. In order to verify the effectiveness of the method, the leak fault was installed in the process control water tank experiment system, and the signal of liquid level and flow was collected. The gradual leak fault was found through the trend signal in low frequency which was got by the wavelet multi-scale resolution, so the practicability of the proposed method was proved.</description><identifier>ISSN: 1660-9336</identifier><identifier>ISSN: 1662-7482</identifier><identifier>ISBN: 3037850043</identifier><identifier>ISBN: 9783037850046</identifier><identifier>EISSN: 1662-7482</identifier><identifier>DOI: 10.4028/www.scientific.net/AMM.44-47.3790</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><ispartof>Applied Mechanics and Materials, 2011-01, Vol.44-47, p.3790-3794</ispartof><rights>2011 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Dec 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c301t-c8e34626cc248d250c1023029ae65a3ffa160b938774fd7150b0e8df77bcc7f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/1082?width=600</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Wang, Zhan Feng</creatorcontrib><creatorcontrib>Lv, Feng</creatorcontrib><creatorcontrib>Du, Hai Lian</creatorcontrib><creatorcontrib>Du, Wen Xia</creatorcontrib><title>Detection Method of Gradual Fault Signal Based on Wavelet Transform in the Dynamic System</title><title>Applied Mechanics and Materials</title><description>The non-stationary signal is classified into the abrupt singular signal and the gradual singular signal. Because the fault of closed-loop control system is difficult to detect the initial moment when the fault happened, and often there is a more serious consequences once the fault was detected. A new method is proposed which can predict whether the fault happened through the trend signal of a dynamic system. The trend signal was got by the wavelet transform of the detected signal. In order to verify the effectiveness of the method, the leak fault was installed in the process control water tank experiment system, and the signal of liquid level and flow was collected. The gradual leak fault was found through the trend signal in low frequency which was got by the wavelet multi-scale resolution, so the practicability of the proposed method was proved.</description><issn>1660-9336</issn><issn>1662-7482</issn><issn>1662-7482</issn><isbn>3037850043</isbn><isbn>9783037850046</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkE9PAjEQxRv_JAr6HZp48rDLdDtslyOCoAnEAyTGU1O6rSyBXWyLhG9vERM9eppM3subeT9C7hmkCFnR2e_3qdeVqUNlK53WJnT602mKmKBIuejBGblmeZ4lAovsnLQ4cFF0AZBffAuQ9DjPr0jL-xVAjgyLa_I2NMHoUDU1nZqwbEraWDp2qtypNR2p3TrQWfVex-VBeRPVmr6qT7M2gc6dqr1t3IZWNQ1LQ4eHWm0qTWcHH8zmhlxatfbm9me2yXz0OB88JZOX8fOgP0k0BxYSXRiOeZZrnWFRZl3QDDIOWU-ZvKu4tYrlsOjxQgi0pWBdWIApSivEQmtheZvcnWK3rvnYGR_kqtm5-LCXDJGL2J9hdPVPLu0a752xcuuqjXIHyUAe6cpIV_7SlZGujHQlokQhj3RjxuCUEY7FI7Xln1P_TvkCVAWKZA</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Wang, Zhan Feng</creator><creator>Lv, Feng</creator><creator>Du, Hai Lian</creator><creator>Du, Wen Xia</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20110101</creationdate><title>Detection Method of Gradual Fault Signal Based on Wavelet Transform in the Dynamic System</title><author>Wang, Zhan Feng ; Lv, Feng ; Du, Hai Lian ; Du, Wen Xia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c301t-c8e34626cc248d250c1023029ae65a3ffa160b938774fd7150b0e8df77bcc7f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Zhan Feng</creatorcontrib><creatorcontrib>Lv, Feng</creatorcontrib><creatorcontrib>Du, Hai Lian</creatorcontrib><creatorcontrib>Du, Wen Xia</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Applied Mechanics and Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Zhan Feng</au><au>Lv, Feng</au><au>Du, Hai Lian</au><au>Du, Wen Xia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection Method of Gradual Fault Signal Based on Wavelet Transform in the Dynamic System</atitle><jtitle>Applied Mechanics and Materials</jtitle><date>2011-01-01</date><risdate>2011</risdate><volume>44-47</volume><spage>3790</spage><epage>3794</epage><pages>3790-3794</pages><issn>1660-9336</issn><issn>1662-7482</issn><eissn>1662-7482</eissn><isbn>3037850043</isbn><isbn>9783037850046</isbn><abstract>The non-stationary signal is classified into the abrupt singular signal and the gradual singular signal. Because the fault of closed-loop control system is difficult to detect the initial moment when the fault happened, and often there is a more serious consequences once the fault was detected. A new method is proposed which can predict whether the fault happened through the trend signal of a dynamic system. The trend signal was got by the wavelet transform of the detected signal. In order to verify the effectiveness of the method, the leak fault was installed in the process control water tank experiment system, and the signal of liquid level and flow was collected. The gradual leak fault was found through the trend signal in low frequency which was got by the wavelet multi-scale resolution, so the practicability of the proposed method was proved.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/AMM.44-47.3790</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1660-9336 |
| ispartof | Applied Mechanics and Materials, 2011-01, Vol.44-47, p.3790-3794 |
| issn | 1660-9336 1662-7482 1662-7482 |
| language | eng |
| recordid | cdi_proquest_journals_1443700414 |
| source | Scientific.net Journals |
| title | Detection Method of Gradual Fault Signal Based on Wavelet Transform in the Dynamic System |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T20%3A29%3A46IST&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=Detection%20Method%20of%20Gradual%20Fault%20Signal%20Based%20on%20Wavelet%20Transform%20in%20the%20Dynamic%20System&rft.jtitle=Applied%20Mechanics%20and%20Materials&rft.au=Wang,%20Zhan%20Feng&rft.date=2011-01-01&rft.volume=44-47&rft.spage=3790&rft.epage=3794&rft.pages=3790-3794&rft.issn=1660-9336&rft.eissn=1662-7482&rft.isbn=3037850043&rft.isbn_list=9783037850046&rft_id=info:doi/10.4028/www.scientific.net/AMM.44-47.3790&rft_dat=%3Cproquest_cross%3E3105217381%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=1443700414&rft_id=info:pmid/&rfr_iscdi=true |