EP3053804A3 - Method and device for optimizing rail superstructure maintenance by single error classification - Google Patents

Method and device for optimizing rail superstructure maintenance by single error classification Download PDF

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Publication number
EP3053804A3
EP3053804A3 EP15188610.8A EP15188610A EP3053804A3 EP 3053804 A3 EP3053804 A3 EP 3053804A3 EP 15188610 A EP15188610 A EP 15188610A EP 3053804 A3 EP3053804 A3 EP 3053804A3
Authority
EP
European Patent Office
Prior art keywords
single error
maintenance
track
optimizing
data sets
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP15188610.8A
Other languages
German (de)
French (fr)
Other versions
EP3053804A2 (en
Inventor
Christian Linder
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Deutsches Zentrum fuer Luft und Raumfahrt eV
Original Assignee
Deutsches Zentrum fuer Luft und Raumfahrt eV
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 Deutsches Zentrum fuer Luft und Raumfahrt eV filed Critical Deutsches Zentrum fuer Luft und Raumfahrt eV
Publication of EP3053804A2 publication Critical patent/EP3053804A2/en
Publication of EP3053804A3 publication Critical patent/EP3053804A3/en
Withdrawn legal-status Critical Current

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/04Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
    • B61L23/042Track changes detection
    • B61L23/048Road bed changes, e.g. road bed erosion
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/04Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
    • B61L23/042Track changes detection
    • B61L23/044Broken rails
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/04Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
    • B61L23/042Track changes detection
    • B61L23/047Track or rail movements
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/50Trackside diagnosis or maintenance, e.g. software upgrades
    • B61L27/53Trackside diagnosis or maintenance, e.g. software upgrades for trackside elements or systems, e.g. trackside supervision of trackside control system conditions

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Machines For Laying And Maintaining Railways (AREA)

Abstract

Die Erfindung betrifft ein Verfahren zur Optimierung der Gleisoberbauinstandhaltung mit den Schritten Identifizieren (501) von im Gleis vorkommenden und bei Gleisvermessungen hervortretenden Einzelfehlertypen, Ermitteln (501) von Referenzmessungen für jeden dieser Einzelfehlertypen, Anlegen (501) von Datensätzen bestehend aus jeweils einer Referenzmessung in Form eines Messdatenvektors sowie deren zugeordneter Einzelfehlertyp in einer Datenbank (502) für bekannte Einzelfehlertypen, Trainieren eines Klassifikators (505) mit den angelegten Datensätzen, Klassifizieren von neuen Messdaten (503, 504) eines Einzelfehlers anhand der angelegten Datensätze durch den Klassifikator (505) und Entscheiden (506) über Instandhaltungsmaßnahmen bezogen auf den Einzelfehler zumindest teilweise basierend auf der Klassifizierung der Messdaten (503, 504) des Einzelfehlers. Die Erfindung bezieht sich ferner auf eine entsprechende Datenbank (502) zur Optimierung der Gleisoberbauinstandhaltung.

Figure imgaf001
The invention relates to a method for optimizing the track superstructure maintenance with the steps of identifying (501) single fault types occurring in the track and emerging in track surveys, determining (501) reference measurements for each of these single fault types, applying (501) data sets each consisting of a reference measurement in the form a measurement data vector and its associated single error type in a database (502) for known single error types, training a classifier (505) with the applied data sets, classifying new measurement data (503, 504) of a single error based on the created data sets by the classifier (505) and deciding (506) via maintenance measures related to the single error based at least in part on the classification of the measurement data (503, 504) of the individual error. The invention further relates to a corresponding database (502) for optimizing track superstructure maintenance.
Figure imgaf001

EP15188610.8A 2014-12-18 2015-10-06 Method and device for optimizing rail superstructure maintenance by single error classification Withdrawn EP3053804A3 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102014119095.5A DE102014119095A1 (en) 2014-12-18 2014-12-18 Method and device for optimizing the track superstructure maintenance by single fault classification

Publications (2)

Publication Number Publication Date
EP3053804A2 EP3053804A2 (en) 2016-08-10
EP3053804A3 true EP3053804A3 (en) 2016-10-05

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP15188610.8A Withdrawn EP3053804A3 (en) 2014-12-18 2015-10-06 Method and device for optimizing rail superstructure maintenance by single error classification

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EP (1) EP3053804A3 (en)
DE (1) DE102014119095A1 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3333043B1 (en) * 2016-12-08 2021-04-28 Siemens Rail Automation S.A.U. Rail inspection system and method
FR3084046B1 (en) * 2018-07-17 2022-04-22 Alstom Transp Tech METHOD FOR MONITORING THE STATE OF AN OVERHEAD CONTACT LINE AND ASSOCIATED PROGRAM DEVICE
DE102018219256A1 (en) * 2018-11-12 2020-05-14 Siemens Mobility GmbH Determine a degradation of a certain track component
DE102020118670A1 (en) 2020-07-15 2022-01-20 Deutsche Bahn Aktiengesellschaft OBSERVATION PROCEDURES
DE102021202643A1 (en) 2021-03-18 2022-03-17 Zf Friedrichshafen Ag Method for condition monitoring of a track system and/or a rail vehicle component and condition monitoring system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050279240A1 (en) * 2004-06-22 2005-12-22 Pedanekar Niranjan R Enhanced method and apparatus for deducing a correct rail weight for use in rail wear analysis of worn railroad rails
DE102007016711A1 (en) * 2007-04-04 2008-10-09 Bombardier Transportation Gmbh Detecting passenger safety conditions on a rail vehicle

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19837476A1 (en) * 1998-08-11 2000-02-17 Siemens Ag Preventive surveillance and monitoring procedure for railway rolling stock driving characteristics
EP1271364A3 (en) 2001-06-20 2004-07-28 Erdmann-Softwaregesellschaft mbH Method for simulating the state of transport paths
DE102004045457B4 (en) * 2004-09-20 2009-04-23 Deutsche Bahn Ag Method for diagnosis and condition monitoring of switches, crossings or intersection points and rail joints by a rail vehicle
DE102007016395B3 (en) 2007-04-03 2008-07-03 Db Netz Ag Vehicle-specific quantification function determining method for track, involves determining regression coefficients for vehicle reaction by satisfying preset vehicle-specific quantification equation
KR101250228B1 (en) 2010-06-09 2013-04-03 한국철도기술연구원 Rail Irregularity Measurement System Using Accelerometers and Method Thereof
DE102011101226A1 (en) 2011-05-11 2012-11-15 Deutsche Bahn Ag Method for describing position deviation of railway track, involves determining amplitude error from track position measurement signal, and determining curvature of track position deviation in linear relationship with vehicle travel
US9561810B2 (en) * 2013-01-11 2017-02-07 International Business Machines Corporation Large-scale multi-detector predictive modeling

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050279240A1 (en) * 2004-06-22 2005-12-22 Pedanekar Niranjan R Enhanced method and apparatus for deducing a correct rail weight for use in rail wear analysis of worn railroad rails
DE102007016711A1 (en) * 2007-04-04 2008-10-09 Bombardier Transportation Gmbh Detecting passenger safety conditions on a rail vehicle

Also Published As

Publication number Publication date
DE102014119095A1 (en) 2016-06-23
EP3053804A2 (en) 2016-08-10

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