ATE445870T1 - Verwendung von sequentiellem clustering zur instanzenauswahl bei der maschinenzustandsüberwachung - Google Patents

Verwendung von sequentiellem clustering zur instanzenauswahl bei der maschinenzustandsüberwachung

Info

Publication number
ATE445870T1
ATE445870T1 AT06838989T AT06838989T ATE445870T1 AT E445870 T1 ATE445870 T1 AT E445870T1 AT 06838989 T AT06838989 T AT 06838989T AT 06838989 T AT06838989 T AT 06838989T AT E445870 T1 ATE445870 T1 AT E445870T1
Authority
AT
Austria
Prior art keywords
status monitoring
machine status
sequential clustering
instance selection
representative
Prior art date
Application number
AT06838989T
Other languages
English (en)
Inventor
Christian Balderer
Chao Yuan
Claus Neubauer
Original Assignee
Siemens Corp Res Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Corp Res Inc filed Critical Siemens Corp Res Inc
Application granted granted Critical
Publication of ATE445870T1 publication Critical patent/ATE445870T1/de

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
    • G05B23/0248—Causal models, e.g. fault tree; digraphs; qualitative physics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Automation & Control Theory (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Alarm Systems (AREA)
AT06838989T 2005-12-05 2006-12-05 Verwendung von sequentiellem clustering zur instanzenauswahl bei der maschinenzustandsüberwachung ATE445870T1 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US74250505P 2005-12-05 2005-12-05
US56580506A 2006-12-01 2006-12-01
PCT/US2006/046361 WO2007067521A1 (en) 2005-12-05 2006-12-05 Use of sequential clustering for instance selection in machine condition monitoring

Publications (1)

Publication Number Publication Date
ATE445870T1 true ATE445870T1 (de) 2009-10-15

Family

ID=37814409

Family Applications (1)

Application Number Title Priority Date Filing Date
AT06838989T ATE445870T1 (de) 2005-12-05 2006-12-05 Verwendung von sequentiellem clustering zur instanzenauswahl bei der maschinenzustandsüberwachung

Country Status (6)

Country Link
US (1) US7716152B2 (de)
EP (1) EP1958034B1 (de)
AT (1) ATE445870T1 (de)
DE (1) DE602006009839D1 (de)
ES (1) ES2332741T3 (de)
WO (1) WO2007067521A1 (de)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2342603B1 (de) * 2008-10-20 2013-05-08 Siemens Corporation Verfahren und vorrichtung zur erzeugung von statusschätzungsmodellen bei der überwachung von maschinenzuständen
KR20140018919A (ko) 2011-04-12 2014-02-13 톰슨 라이센싱 메시 모델을 인코딩하는 방법, 인코딩된 메시 모델 및 메시 모델을 디코딩하는 방법
US8988238B2 (en) 2012-08-21 2015-03-24 General Electric Company Change detection system using frequency analysis and method
CN105825228B (zh) * 2016-03-14 2019-04-30 百度在线网络技术（北京）有限公司 图像识别方法及装置
US11397633B2 (en) * 2017-01-26 2022-07-26 Siemens Aktiengesellschaft Unifying semi-supervised approach for machine condition monitoring and fault diagnosis
DE102018205660A1 (de) * 2018-04-13 2019-10-17 Siemens Aktiengesellschaft Simulieren von statistisch modellierten Sensordaten
US20220004176A1 (en) * 2018-10-01 2022-01-06 Abb Schweiz Ag Method and control system for detecting condition of plurality of process equipment in industrial plant
US11651276B2 (en) * 2019-10-31 2023-05-16 International Business Machines Corporation Artificial intelligence transparency
CN111177301B (zh) * 2019-11-26 2023-05-26 云南电网有限责任公司昆明供电局 一种关键信息识别提取方法及系统
CN111488829A (zh) * 2020-04-10 2020-08-04 广东电网有限责任公司江门供电局 杆塔巡检照片分类方法、装置、电子设备以及存储介质

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6052485A (en) * 1997-02-03 2000-04-18 The United States Of America As Represented By The Secretary Of The Navy Fractal features used with nearest neighbor clustering for identifying clutter in sonar images
US7233692B2 (en) * 2002-11-14 2007-06-19 Lockheed Martin Corporation Method and computer program product for identifying output classes with multi-modal dispersion in feature space and incorporating multi-modal structure into a pattern recognition system
US7769561B2 (en) * 2005-12-01 2010-08-03 Siemens Corporation Robust sensor correlation analysis for machine condition monitoring
US7567878B2 (en) * 2005-12-07 2009-07-28 Siemens Corporate Research, Inc. Evaluating anomaly for one class classifiers in machine condition monitoring
US7958062B2 (en) * 2006-05-31 2011-06-07 Lockheed Martin Corporation Method and system of creating health operating envelope for dynamic systems by unsupervised learning of a sequence of discrete event codes

Also Published As

Publication number Publication date
US20090043536A1 (en) 2009-02-12
EP1958034A1 (de) 2008-08-20
EP1958034B1 (de) 2009-10-14
DE602006009839D1 (de) 2009-11-26
ES2332741T3 (es) 2010-02-11
WO2007067521A1 (en) 2007-06-14
US7716152B2 (en) 2010-05-11

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