Fault Detection and Diagnosis for Sensor in Complex Control System Based on KPCA
The Fault detection and diagnosis for sensors are important for the performance of the complex control system seriously. The kernel principal component analysis (KPCA) effectively captures the nonlinear relationship of the process variables, which computes principal component in high-dimensional fea...
Uložené v:
| Vydané v: | Applied Mechanics and Materials Ročník 623; číslo Engineering Research and Designing for Industry; s. 202 - 210 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Zurich
Trans Tech Publications Ltd
01.08.2014
|
| Predmet: | |
| ISBN: | 9783038352228, 3038352225 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | The Fault detection and diagnosis for sensors are important for the performance of the complex control system seriously. The kernel principal component analysis (KPCA) effectively captures the nonlinear relationship of the process variables, which computes principal component in high-dimensional feature space by means of integral operators and nonlinear kernel functions. The KPCA method is used in diagnosing for four common sensor faults. At first its fault is detected by Q statistic; secondly its fault is identified by T2 contribution percent change. The simulation and the practical result show the KPCA method has good performance on complex control system in sensor fault detection and diagnosis. |
|---|---|
| AbstractList | The Fault detection and diagnosis for sensors are important for the performance of the complex control system seriously. The kernel principal component analysis (KPCA) effectively captures the nonlinear relationship of the process variables, which computes principal component in high-dimensional feature space by means of integral operators and nonlinear kernel functions. The KPCA method is used in diagnosing for four common sensor faults. At first its fault is detected by Q statistic; secondly its fault is identified by T2 contribution percent change. The simulation and the practical result show the KPCA method has good performance on complex control system in sensor fault detection and diagnosis. |
| Author | Wang, Qiu Yan Wang, Kai Xu, Ping Wang, You Cai |
| Author_xml | – givenname: Qiu Yan surname: Wang fullname: Wang, Qiu Yan organization: Xi’an High-Tech Research Institute – givenname: Ping surname: Xu fullname: Xu, Ping email: Hcwxp@sohu.com organization: Xi’an High-Tech Research Institute – givenname: Kai surname: Wang fullname: Wang, Kai organization: Xi’an High-Tech Research Institute – givenname: You Cai surname: Wang fullname: Wang, You Cai email: wangyoycai@126.com organization: Xi’an Research Institute of Hi-tec |
| BookMark | eNqNkdFqFDEUhoNWsK19h4Ag3sw0OZlkMjfiumur2GKheh1i5oymzCbbJMvatzftCkqvenUu8p-PP-c7IgchBiTkDWdtx0Cf7na7NjuPofjJuzZgOV1cXrYKRAsMnpFDrhQ0fafhOTkZei2Y0EICgD54eGPNIIR6SY5yvmFMdbzTh-TqzG7nQldY0BUfA7VhpCtvf4aYfaZTTPQaQ67DB7qM682Mv-sMJcWZXt_lgmv6wWYcad39crVcvCIvJjtnPPk7j8n3s4_flp-ai6_nn5eLi8YJ1kGjuUTR4yi040xMg8Te1brOsn5iagSJFqVTTrNpGNQPBlaPA9a_KoBeA4pj8nbP3aR4u8VczNpnh_NsA8ZtNlwBY33PuKzR14-iN3GbQm1nuJRSgNAD1NS7fcqlmHPCyWySX9t0Zzgz9wJMFWD-CTBVgKkCTC1lqoAKWD0COF_s_VFLsn5-Oub9HlO3Qr2v-_Vf3ach_gD42qy8 |
| CitedBy_id | crossref_primary_10_3390_electronics11111755 |
| Cites_doi | 10.1016/S0925-2312(03)00433-8 10.1016/j.compchemeng.2004.02.036 10.1016/j.ces.2003.09.012 10.1162/089976698300017467 10.1080/10789669.2006.10391187 10.2514/3.21542 |
| ContentType | Journal Article |
| Copyright | 2014 Trans Tech Publications Ltd Copyright Trans Tech Publications Ltd. Aug 2014 |
| Copyright_xml | – notice: 2014 Trans Tech Publications Ltd – notice: Copyright Trans Tech Publications Ltd. Aug 2014 |
| DBID | AAYXX CITATION 7SR 7TB 8BQ 8FD 8FE 8FG ABJCF ABUWG AFKRA BENPR BFMQW BGLVJ CCPQU D1I DWQXO FR3 HCIFZ JG9 KB. KR7 L6V M7S PDBOC PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS 7SC JQ2 L7M L~C L~D |
| DOI | 10.4028/www.scientific.net/AMM.623.202 |
| DatabaseName | CrossRef Engineered Materials Abstracts Mechanical & Transportation Engineering Abstracts METADEX Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Continental Europe Database ProQuest Technology Collection ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Korea Engineering Research Database SciTech Premium Collection Materials Research Database Materials Science Database Civil Engineering Abstracts ProQuest Engineering Collection Engineering Database Materials Science Collection ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Computer and Information Systems Abstracts ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Materials Research Database Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts Materials Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences Engineered Materials Abstracts ProQuest Engineering Collection ProQuest Central Korea Materials Science Database ProQuest Central (New) Engineering Collection ProQuest Materials Science Collection Civil Engineering Abstracts Engineering Database ProQuest One Academic Eastern Edition ProQuest Technology Collection Continental Europe Database ProQuest SciTech Collection METADEX ProQuest One Academic UKI Edition Materials Science & Engineering Collection Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Computer and Information Systems Abstracts – Academic ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Materials Research Database Civil Engineering Abstracts CrossRef |
| Database_xml | – sequence: 1 dbid: KB. name: Materials Science Database url: http://search.proquest.com/materialsscijournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Statistics |
| EISSN | 1662-7482 |
| EndPage | 210 |
| ExternalDocumentID | 3410376471 10_4028_www_scientific_net_AMM_623_202 |
| GroupedDBID | .DC 4.4 6J9 8FE 8FG ABHXD ABJCF ABJNI ABUWG ACGFO ACGFS ACIWK AFFHD AFKRA ALMA_UNASSIGNED_HOLDINGS BENPR BFMQW BGLVJ BPHCQ CCPQU CZ9 D1I DB1 DKFMR EBS EJD HCIFZ KB. KC. L6V M7S P2P PDBOC PHGZM PHGZT PQGLB PQQKQ PROAC PTHSS RNS RTP AAYXX ABDNZ ACYGS CITATION 7SR 7TB 8BQ 8FD DWQXO FR3 JG9 KR7 PKEHL PQEST PQUKI PRINS 7SC JQ2 L7M L~C L~D PUEGO |
| ID | FETCH-LOGICAL-c3042-815e37ed38c103f95e7c383ca07f06d25eae5c6c80f996b02a8d9e623622782e3 |
| IEDL.DBID | M7S |
| ISBN | 9783038352228 3038352225 |
| ISSN | 1660-9336 1662-7482 |
| IngestDate | Thu Oct 02 08:15:57 EDT 2025 Fri Jul 25 11:50:19 EDT 2025 Tue Nov 18 22:32:17 EST 2025 Sat Nov 29 03:37:28 EST 2025 Fri Dec 05 20:30:25 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | Engineering Research and Designing for Industry |
| Keywords | Kernel Principal Component Analysis (KPCA) Fault Detection Diagnosis Complex Control System Sensor |
| Language | English |
| License | https://www.scientific.net/PolicyAndEthics/PublishingPolicies https://www.scientific.net/license/TDM_Licenser.pdf |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c3042-815e37ed38c103f95e7c383ca07f06d25eae5c6c80f996b02a8d9e623622782e3 |
| Notes | Selected, peer reviewed papers from the 2013 International Conference on Mechatronics and Materials Engineering (ICMME 2013), May 25-27, 2013, Qiqihar, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| PQID | 1555323892 |
| PQPubID | 2029177 |
| PageCount | 9 |
| ParticipantIDs | proquest_miscellaneous_1620077015 proquest_journals_1555323892 crossref_primary_10_4028_www_scientific_net_AMM_623_202 crossref_citationtrail_10_4028_www_scientific_net_AMM_623_202 transtech_journals_10_4028_www_scientific_net_AMM_623_202 |
| PublicationCentury | 2000 |
| PublicationDate | 20140801 |
| PublicationDateYYYYMMDD | 2014-08-01 |
| PublicationDate_xml | – month: 08 year: 2014 text: 20140801 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Zurich |
| PublicationPlace_xml | – name: Zurich |
| PublicationTitle | Applied Mechanics and Materials |
| PublicationYear | 2014 |
| Publisher | Trans Tech Publications Ltd |
| Publisher_xml | – name: Trans Tech Publications Ltd |
| References | 681682 681681 681684 681683 681686 681685 681687 681679 681678 681680 |
| References_xml | – ident: 681684 doi: 10.1016/S0925-2312(03)00433-8 – ident: 681687 doi: 10.1016/j.compchemeng.2004.02.036 – ident: 681680 – ident: 681683 – ident: 681686 doi: 10.1016/j.ces.2003.09.012 – ident: 681679 – ident: 681678 – ident: 681682 doi: 10.1162/089976698300017467 – ident: 681685 doi: 10.1080/10789669.2006.10391187 – ident: 681681 doi: 10.2514/3.21542 |
| SSID | ssj0064148 ssj0001378456 |
| Score | 1.9527318 |
| Snippet | The Fault detection and diagnosis for sensors are important for the performance of the complex control system seriously. The kernel principal component... |
| SourceID | proquest crossref transtech |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 202 |
| SubjectTerms | Control systems Fault detection Fault diagnosis Faults Kernels Nonlinearity Sensors Statistics |
| Title | Fault Detection and Diagnosis for Sensor in Complex Control System Based on KPCA |
| URI | https://www.scientific.net/AMM.623.202 https://www.proquest.com/docview/1555323892 https://www.proquest.com/docview/1620077015 |
| Volume | 623 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: Continental Europe Database isbn: 9783038352228 customDbUrl: eissn: 1662-7482 dateEnd: 20200630 omitProxy: false ssIdentifier: ssj0064148 issn: 1660-9336 databaseCode: BFMQW dateStart: 20040901 isFulltext: true titleUrlDefault: https://search.proquest.com/conteurope providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database isbn: 9783038352228 customDbUrl: eissn: 1662-7482 dateEnd: 20200630 omitProxy: false ssIdentifier: ssj0064148 issn: 1660-9336 databaseCode: M7S dateStart: 20040901 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Materials Science Database isbn: 9783038352228 customDbUrl: eissn: 1662-7482 dateEnd: 20200630 omitProxy: false ssIdentifier: ssj0064148 issn: 1660-9336 databaseCode: KB. dateStart: 20040901 isFulltext: true titleUrlDefault: http://search.proquest.com/materialsscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central isbn: 9783038352228 customDbUrl: eissn: 1662-7482 dateEnd: 20200630 omitProxy: false ssIdentifier: ssj0064148 issn: 1660-9336 databaseCode: BENPR dateStart: 20040901 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVJCC databaseName: Ebook Central - Academic Complete isbn: 9783038352228 customDbUrl: eissn: 1662-7482 dateEnd: 99999999 omitProxy: false ssIdentifier: ssj0001378456 issn: 1660-9336 databaseCode: ADVEM dateStart: 0 isFulltext: true titleUrlDefault: https://www.proquest.com/libraries/academic/ebooks/ providerName: ProQuest Ebooks – providerCode: PRVJCC databaseName: Ebook Central - Science & Technology Ebook Subscription isbn: 9783038352228 customDbUrl: eissn: 1662-7482 dateEnd: 99999999 omitProxy: false ssIdentifier: ssj0001378456 issn: 1660-9336 databaseCode: GEOUK dateStart: 0 isFulltext: true titleUrlDefault: http://www.proquest.com/libraries/academic/ebooks/ providerName: ProQuest Ebooks |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LaxsxEB6apPRx6DvUbWpUKL0p3YeklQ6l2I7dgolrmgZyE7JWCwazTuJ16c_vSFo_eimBnsSyq9XujDQvjb4B-CCrSklhHUXPK6NsxjOquBHUCqlEWiXMFmUoNlFMJvLqSk3bgNuqTavcyMQgqMul9THyT6j3eI76RWVfrm-orxrld1fbEhoHcORREtKQunexi7HkhWQeKyZKZsHSUE0rFSKh6MgLf9YjyYMNkvGIxrO9lg_gI0oUdK9k-Kh4PtGn74SYQe_8_BQtB3Qws7812s5Mfdh4beOhWPc01ujp__7rM3jS2qqkFyfXc7jn6hfweA_B8CVMR2a9aMiZa0JKV01MXZKzmL43XxG0iMkFOsrYzGviZc_C_SaDmB5PIlo66aMiLQn2HU8HvVdwORr-HHyjbZEGan0khMqUu7xwZS5tmuSV4q6wSEJrkqJKRJlxZxy3wsqkQtdqlmRGlsoh6YQ_hJu5_BgO62XtXgNhJvWy2Tic3UwYoWaMG2WYrHKj0E_rwOcNobVtEcx9IY2FRk_GM0ojRfWOURoZpZFRGkfTyKgOFNv-1xHL4849TzaM0u0aX-kdlzrwfnsbV6ffcjG1W67xGeFjwQXaXB1Q2_mw9447Df_m38O_hUdoxrGYlngCh83t2r2D-_ZXM1_dduGoP5xMf2D7dfj9ctyFg3H_tBsWyh8tSxRp |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3Nb9MwFH8aG2Jw4BtRGGAk4BZI7MSxDxMq7cqmrqUSm7Sb5zqOVKlKx5Ly8U_xN_IcJ225oF124BRFieMk_vm997PfB8AbkedScGMDZF40iKcJDWSieWC4kDzKw9ikWV1sIh2PxdmZnGzB7zYWxrlVtjKxFtTZwrg18g-o9xKG-kXSjxffAlc1yu2utiU0PCyG9tcPpGzl_lEfx_ctpYODk95h0FQVCIyj7oGIEstSmzFhopDlMrGpQZpmdJjmIc9oYrVNDDcizJELTEOqRSYtWgncRY1Sy_C5N2DH7XehINj5fPDldLhe1WGpiF12Gq8LeBzV9bsizsNAMsZddEnIaquHJj7_z-pc3IJ3KMOQ0In6N_iISOcwVK9SdEej9_gWSGnp3zp0bRjvVk6_ueSvGzpycO9_-7v34W5jjZOunz4PYMsWD-HORo7GRzAZ6OW8In1b1U5rBdFFRvreQXFWErT5yVdblHiYFcRJ17n9SXo-AID4fPDkE5oKGcG2w0mv-xhOr-WTnsB2sSjsUyCxjpz20Rbnb8w1l9M40VLHImdaIhPtwH47sMo0OdpdqZC5Qq7mgKFwBNUaGAqBoRAYCntTCIwOpKv2Fz5byZVb7rXAUI0UK9UaFR14vbqM8sdtKunCLpZ4D3er3SlalR2QK_xtPONK3T_7d_evYPfwZHSsjo_Gw-dwG43W2Dth7sF2dbm0L-Cm-V7NysuXzYQkcH7dKP0D--9sgg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Fault+Detection+and+Diagnosis+for+Sensor+in+Complex+Control+System+Based+on+KPCA&rft.jtitle=Applied+mechanics+and+materials&rft.au=Xu%2C+Ping&rft.au=Wang%2C+You+Cai&rft.au=Wang%2C+Kai&rft.au=Wang%2C+Qiu+Yan&rft.date=2014-08-01&rft.issn=1662-7482&rft.eissn=1662-7482&rft.volume=623&rft.spage=202&rft.epage=210&rft_id=info:doi/10.4028%2Fwww.scientific.net%2FAMM.623.202&rft.externalDBID=n%2Fa&rft.externalDocID=10_4028_www_scientific_net_AMM_623_202 |
| thumbnail_s | http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fwww.scientific.net%2FImage%2FTitleCover%2F3411%3Fwidth%3D600 |

