EP4008603A1 - Système de surveillance et de maintien prédictif de l'état d'usure de composants mécaniques et son procédé de fonctionnement - Google Patents

Système de surveillance et de maintien prédictif de l'état d'usure de composants mécaniques et son procédé de fonctionnement Download PDF

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Publication number
EP4008603A1
EP4008603A1 EP21210973.0A EP21210973A EP4008603A1 EP 4008603 A1 EP4008603 A1 EP 4008603A1 EP 21210973 A EP21210973 A EP 21210973A EP 4008603 A1 EP4008603 A1 EP 4008603A1
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EP
European Patent Office
Prior art keywords
railroad car
mechanical components
signals
real
values
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.)
Granted
Application number
EP21210973.0A
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German (de)
English (en)
Other versions
EP4008603C0 (fr
EP4008603B1 (fr
Inventor
Roberto Nappi
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.)
Mare Engineering Group SpA In Breve Mare Group SpA
Original Assignee
Syenmaint SRL
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Publication of EP4008603A1 publication Critical patent/EP4008603A1/fr
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Publication of EP4008603C0 publication Critical patent/EP4008603C0/fr
Publication of EP4008603B1 publication Critical patent/EP4008603B1/fr
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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00—Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0081—On-board diagnosis or maintenance

Definitions

  • the invention relates to a system of the aforementioned type, designed and realized in particular to monitor the state of wear, and perform predictive maintenance of the mechanical components that determine the vehicle dynamics of a rolling stock, in particular of a railway vehicle, but which can be used for any vehicle including mechanical components, for which wear status assessment is required.
  • the system is useful in the case in which the mapped cases are many and cover all, or a good part of the operating range of the system, the latter must be stable so as to be able to work with the interpolations between the cases in the database, in other conditions than those prescribed, one must be cautious in applying the model.
  • pattern recognition is based on the deterioration trends consolidated over time, represented by graphs, which reproduce the deterioration status of the monitored characteristics and a point is set, beyond which action must be taken by replacing the component before that the curve reaches the end of the component's useful life.
  • object of the present invention to provide a system for monitoring the dynamics of the railway vehicle, to which it is applied, for detecting the wear state of mechanical components, and which is able to apply even at the same time at least all four the previous models, evaluating even a few essential elements, in order to be reliable.
  • said operation data detected are vibrations, triaxial accelerometry, triaxial gyroscopy, triaxial inclinometry, speed and distance traveled by said railroad car.
  • Method according to the preceding claim characterized in that said it comprises the following step: h. estimating the time interval in which the monitored mechanical component can pass through an anomaly condition, in order to manage the predictive maintenance activities related to it.
  • said method may comprise the following step: h. estimating the time interval in which the monitored mechanical component can pass through an anomaly condition, in order to manage the predictive maintenance activities related to it.
  • a railroad car R generally consists of seven masses, a chassis, two bogie frames and four wheel-axles or axles.
  • a seventh sensor 17 is installed on the chassis C.
  • acceleration, speed, displacements along the X, Y, Z axes measured in the center of gravity of the wheel-axles A, of the bogie frame T and of the chassis C.
  • thermal energy the energy produced or dispersed in the form of heat by the engine and/or by the heating elements or by the generation of heat from friction and/or thermal dispersion, is transformed into electrical energy and stored to power the electronics of the system S.
  • the displacement data is of two types.
  • This processing program is based on a model of differential equations that exactly describe the dynamics of the railroad car R.
  • the simulation is validated.
  • the output data are stored in memory together with the other acquisitions.
  • the advantages of the system object of the present invention are many, for example, the proximity of the processing to the data generating source, as it is performed directly on board of the railroad car R, the transmission of only the information connected to the 'detected anomaly, with the enormous reduction in the amount of data to be transmitted to remote storage and processing devices, reduced times of anomaly detection, immediate early warning, thanks to concurrent processing/in real time, during the running of the rolling stock, with direct communication to the maintenance manager, without going through the current intermediate stages, elaboration and operational/management, additional, the prediction of the condition of the equipment failure, the automatic correlation of anomalies detected directly to the maintenance intervention, without further additional operational/management steps, the automatic correlation of anomalies detected on board of the train due to any causes dependent/induced by the infrastructure state, the management of information related to failures for the validation of the parameters.

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Length Measuring Devices With Unspecified Measuring Means (AREA)
  • Manipulator (AREA)
  • General Factory Administration (AREA)
  • Pressure Welding/Diffusion-Bonding (AREA)
EP21210973.0A 2020-12-02 2021-11-29 Système de surveillance et de maintien prédictif de l'état d'usure de composants mécaniques et son procédé de fonctionnement Active EP4008603B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IT102020000029471A IT202000029471A1 (it) 2020-12-02 2020-12-02 Sistema di monitoraggio e manutenzione predittiva dello stato di usura di componenti meccanici e metodo di funzionamento relativo.

Publications (3)

Publication Number Publication Date
EP4008603A1 true EP4008603A1 (fr) 2022-06-08
EP4008603C0 EP4008603C0 (fr) 2023-08-30
EP4008603B1 EP4008603B1 (fr) 2023-08-30

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP21210973.0A Active EP4008603B1 (fr) 2020-12-02 2021-11-29 Système de surveillance et de maintien prédictif de l'état d'usure de composants mécaniques et son procédé de fonctionnement

Country Status (4)

Country Link
EP (1) EP4008603B1 (fr)
ES (1) ES2959988T3 (fr)
IT (1) IT202000029471A1 (fr)
PL (1) PL4008603T3 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102022200376A1 (de) 2022-01-14 2023-07-20 Siemens Mobility GmbH Verfahren zum Überwachen der äquivalenten Konizität eines Schienenfahrzeug-Schiene-Systems

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4372944A1 (fr) 2022-11-21 2024-05-22 Mare Engineering Group S.P.A. In Breve Mare Group S.P.A. Système modulaire pour optimisation d'énergie renouvelable par commande programmée de charges électriques sur la base d'une énergie auto-générée estimée

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1548419A1 (fr) * 2002-08-30 2005-06-29 NSK Ltd. Procede et dispositif de controle d'etat de materiel mecanique et dispositif de diagnostic d'anomalies
US20070152107A1 (en) * 2005-12-23 2007-07-05 Afs-Keystone, Inc. Railroad train monitoring system
DE102009053801A1 (de) * 2009-11-18 2011-05-19 Knorr-Bremse Systeme für Schienenfahrzeuge GmbH Verfahren zur Zustandsüberwachung wenigstens einen Radsatz aufweisenden Drehgestells eines Schienenfahrzeugs
WO2015100425A1 (fr) * 2013-12-24 2015-07-02 Amsted Rail Company, Inc. Systeme et procede pour la detection d'anomalies de fonctionnement dans un groupe de traction de train et de vehicules sur rail
EP2913724A1 (fr) * 2014-02-25 2015-09-02 Abb Ag Plc avec un programme de commande d'optimisation à horizon fini
EP3354532A1 (fr) * 2017-01-26 2018-08-01 Rail Vision Europe Ltd Système de surveillance monté sur un véhicule
DE102019102907A1 (de) * 2019-02-06 2020-08-06 Voith Patent Gmbh Radsatzgetriebe

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1548419A1 (fr) * 2002-08-30 2005-06-29 NSK Ltd. Procede et dispositif de controle d'etat de materiel mecanique et dispositif de diagnostic d'anomalies
US20070152107A1 (en) * 2005-12-23 2007-07-05 Afs-Keystone, Inc. Railroad train monitoring system
DE102009053801A1 (de) * 2009-11-18 2011-05-19 Knorr-Bremse Systeme für Schienenfahrzeuge GmbH Verfahren zur Zustandsüberwachung wenigstens einen Radsatz aufweisenden Drehgestells eines Schienenfahrzeugs
WO2015100425A1 (fr) * 2013-12-24 2015-07-02 Amsted Rail Company, Inc. Systeme et procede pour la detection d'anomalies de fonctionnement dans un groupe de traction de train et de vehicules sur rail
EP2913724A1 (fr) * 2014-02-25 2015-09-02 Abb Ag Plc avec un programme de commande d'optimisation à horizon fini
EP3354532A1 (fr) * 2017-01-26 2018-08-01 Rail Vision Europe Ltd Système de surveillance monté sur un véhicule
DE102019102907A1 (de) * 2019-02-06 2020-08-06 Voith Patent Gmbh Radsatzgetriebe

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102022200376A1 (de) 2022-01-14 2023-07-20 Siemens Mobility GmbH Verfahren zum Überwachen der äquivalenten Konizität eines Schienenfahrzeug-Schiene-Systems

Also Published As

Publication number Publication date
PL4008603T3 (pl) 2024-04-08
EP4008603C0 (fr) 2023-08-30
EP4008603B1 (fr) 2023-08-30
ES2959988T3 (es) 2024-02-29
IT202000029471A1 (it) 2022-06-02

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