CN104271428B - Method for investigating Wheel Rail Contact - Google Patents

Method for investigating Wheel Rail Contact Download PDF

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Publication number
CN104271428B
CN104271428B CN201280072357.XA CN201280072357A CN104271428B CN 104271428 B CN104271428 B CN 104271428B CN 201280072357 A CN201280072357 A CN 201280072357A CN 104271428 B CN104271428 B CN 104271428B
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CN
China
Prior art keywords
wheel
acceleration
event
geographical position
rotation position
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Expired - Fee Related
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CN201280072357.XA
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Chinese (zh)
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CN104271428A (en
Inventor
O.V.库什尼科夫
A.V.洛吉诺夫
A.S.米尼恩
I.I.莫克霍夫
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Siemens Mobility GmbH
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Siemens AG
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61KAUXILIARY EQUIPMENT SPECIALLY ADAPTED FOR RAILWAYS, NOT OTHERWISE PROVIDED FOR
    • B61K9/00Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
    • B61K9/08Measuring installations for surveying permanent way

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Machines For Laying And Maintaining Railways (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The present invention relates to a kind of method for being used to investigate the Wheel Rail Contact of rolling stock, including:The vertically and/or laterally acceleration (16) of at least one wheel (10) of registration of vehicle;The related rotation position (18) of the recorded acceleration (16) of storage and wheel (10);Acceleration event (20) of the identification more than predefined parameter;And for each identified event, the event is classified using the computational physics model (22) of wheel (10).

Description

Method for investigating Wheel Rail Contact
Technical field
The present invention relates to a kind of method for being used to investigate the Wheel Rail Contact of rolling stock.
Background technology
Wheel integrality is the important component of rolling stock safe operation.Especially, in the case of bullet train, Wheel damage must early find and suitably eliminate, to avoid safety problem.On the other hand, the excessive diagnosis of wheel damage can be led Unnecessary wheel is caused to change, this can cause evitable maintenance cost.
The commonly known method of vehicle wheel maintenance is so-called drive-by inspection (drive-by inspection), wherein Check and monitor wheel when vehicle passes by.This is typically inadequate, and can cause mistaken diagnosis, ignore impaired wheel and to useful Wheel be marked and changed.
A kind of more accurately method is to use so-called Wheel Impact Load Detector (WILD).This detector includes weldering A series of strain gauges of track are connected to, it quantifies to apply based on the mathematical relationship between the load applied and the deflection of the flange of rail To the power of track.
Thus the impulsive force measured can be applied to the monitoring structural health conditions of railway wheel.It is presently used for circuit detector Impact load limit is set as 90000 pounds by Association of American Railroads.
Apply the wheel of this power, i.e., so-called high impact wheel has flat spot (flat generally on their tread Spot), it is known that flat sliding (slid flat).When wheel while train moves for example because of not loose parking brake and by During obstruction, it will usually flat sliding occurs.Other damage modes, such as major defect on tread also result in HI high impact car Wheel.
Although high impact wheel mainly produces the possibility of catastrophic failure because then derailing and attracted attention, they It is economically also critically important, because HI high impact event makes guide rail that significant strain occur.For example, load feelings compared to non-percussion Condition, it has been observed that high impact wheel makes the face crack growth rate on track increase by 100 times, and also by increasing crack initiation And have a negative impact to the health of concrete sleeper.
Unfortunately, it is not easy foundation between wheel damage and failure to contact.Although some high impact wheels can continue It is on active service for many years without breaking down, but other wheels almost fail immediately.In addition, some patterns of wheel fault, such as broken Car rim failure and vertical split rim fault is damaged often in the case of far below 90000 pounds impact load limits to occur in wheel On.
The content of the invention
It is therefore an object of the present invention to provide a kind of method for being used to investigate the Wheel Rail Contact of rail vehicle, it allows Improve the detection to wheel damage.
The method according to the invention includes:The vertically and/or laterally acceleration of at least one wheel of registration of vehicle;Storage The acceleration recorded and the related rotation position of wheel;Acceleration event of the identification more than predefined parameter;And for every Individual identified event, the event is classified using the computational physics model of wheel.
In other words, generally car can be monitored on-line from the acceleration information that the sensor being attached in axle bearing etc. obtains Wheel health.The acceleration information that what corresponding rotation position was related to the wheel under monitoring recorded allows on wheel circumference It is determined that the exact position for the defects of being caused by acceleration, also, for being determined and taxonomic defficiency by the physical model of wheel Type.
This method causes railway operator physically to show them in rolling behavior of the wheel fault one in wheel certainly Body is just able to detect that these defects, so as to substantially increase the security of operation, and because of the positive detecting event of mistake The minimum rate of (falsely positive detection event) and reduce maintenance cost.
In a preferred embodiment of the invention, the frequency point of the event associated with the given rotation position of wheel is performed Analysis, and if under a related rotation position, the frequency of at least one given event exceedes predetermined threshold, then checks car Wheel.This helps to distinguish the disposable or rare events for example as caused by guide rail defect or foreign object impact and damaged with actual wheel It is bad, so as to further reduce the possibility that operation wheel is mistakenly classified as to failure.
In another preferred embodiment of the present invention, the vertically and/or laterally acceleration of wheel and the wheel are stored Related geographical position.Such geocoding acceleration event allows to monitor wheel and guide rail health simultaneously, and identification needs to safeguard Or the guide rail section checked.In order to obtain geodata, GPS (global positioning system) can be used.
It is further advantageous that according to vertically and laterally acceleration to calculate angular acceleration, and angular acceleration is connected Stored together with related rotation position and/or geographical position.Which reduce the data set for needing to handle and store.
The acceleration and related rotation position and/or geographical position can be locally stored in the storage of train carrying In unit.It is then possible to the data are read and analyzed during predetermined maintenance.
Alternatively, the acceleration and related rotation position and/or geographical position can be sent to outside train The data processing in portion and memory cell.If people are interested in on-line monitoring guideway health, then this be it is particularly advantageous, Because the acceleration information for giving geographical position can be monitored in the range of entire train in real time, rail state is presented Always accurate image.
In another preferred embodiment of the present invention, acceleration event is identified by pattern matching algorithm.This allows accurate Ground determines can be by the extensive defective pattern of Accurate classification.Pattern match also allows to detect unscheduled error pattern, non-predetermined Error pattern can then be studied.
Brief description of the drawings
Hereinafter, referring to the drawings, invention and preferred embodiments thereof are described in detail, in accompanying drawing:
Fig. 1 is with the schematic diagram for acceleration and the railway wheel of the related sensor of wheel position;
Fig. 2 is the flow chart for determining the embodiment of the method according to the invention of wheel damage;
Fig. 3 is the flow chart for additionally determining the embodiment of the method according to the invention of rail damage;And
Fig. 4 be for and meanwhile determine the flow chart of the embodiment of the method according to the invention of wheel and rail damage.
Embodiment
In order to observe its state, railway wheel 10 has been attached sensor 12,14, for measuring wheel acceleration respectively And rotation position.
Curve 16 shown in Fig. 2 represents the process that unsteadiness of wheels changes over time, and is such as measured by accelerometer 12.Together with expression car Together, these data form the basis for determining wheel damage to the curve 18 of the rotation position of wheel 10.Mode-matching technique is used In the impact event 20 being detected in oscillating curve 16, these impact events exceed some predefined parameters.By with wheel Physical model 22 combination, such event 20 can be classified as such as fault type, and then use such as chart 24 Shown frequency statistics and analyzed.If the frequency of certain types of events associated with certain anglec of rotation of wheel 10 More than threshold value, then it is necessary to safeguard relevant wheel.
As shown in figure 3, can not only perform such analysis to wheel 10, but also the wheel can be traveled over Guide rail 11 carry out such analysis.Therefore, depending not only upon wheel rotation position but also dependent on by global positioning system The geolocation analysis impact event 20 that client 26 determines.Then, frequency analysis is carried out, is drawn relative to the geography on guide rail The event frequency of position, as shown in chart 28.If for the particular section of guide rail, impact event frequency exceedes certain threshold value, Then the section is labeled for inspection.
Finally, Fig. 4 shows the overview display of whole system, including the data record based on vehicle and monitoring device 30, It records and stores the acceleration information from wheel 10, and by these data transfers to physical model 22.Can detecting During the wheel damage of energy, alarm signal 32 is produced, and be submitted to train operator.
Single railway monitoring system 34 also receives the processed impact event from physical model 22, and makes them It is associated with the geodata received from GPS receiver unit 26.According to current demand, system 34 produces the track of those suspected defects The list 36 of section.
List of parts
10 wheels
11 guide rails
12 accelerometers
14 rotational position sensors
16 curves
18 curves
20 events
22 models
24 frequency analyses
26 GPS receiver units
28 frequency analyses
30 records and memory cell
32 alarm signals
34 railway monitoring systems
36 lists

Claims (6)

1. the method for the Wheel Rail Contact for investigating rolling stock, comprises the following steps:
A) the vertically and/or laterally acceleration (16) of at least one wheel (10) of the vehicle is recorded;
B) recorded acceleration (16) and the related rotation position (18) of wheel (10) and related geographical position are stored;
C) acceleration event (20) of the identification more than predefined parameter;
D) for each identified event:The event is divided by using the computational physics model (22) of wheel (10) Class;
E) frequency of the event (20) associated with the given rotation position (18) of the wheel (10) and/or geographical position is performed Analyze (24);And
If f) under a related rotation position, the frequency of at least one given event (20) exceedes predetermined threshold value, then examines Look into wheel (10);If under a related geographical position, the frequency of at least one given event (20) exceedes predetermined threshold value, Then check the guide rail (11) in given geographical position (11).
2. according to the method for claim 1,
Characterized in that, the geographical position is determined by GPS.
3. according to the method for claim 1,
Characterized in that, angular acceleration is calculated according to vertically and laterally acceleration (16), and by angular acceleration together with phase The rotation position (18) of pass and/or geographical position store together.
4. according to the method in any one of claims 1 to 3,
Characterized in that, the rotation position (18) and/or geographical position of the acceleration (16) and correlation are locally stored in row In the memory cell (30) that car carries.
5. according to the method in any one of claims 1 to 3,
Characterized in that, the rotation position (18) and/or geographical position of the acceleration (16) and correlation are sent to positioned at row Data processing and memory cell (34) outside car.
6. according to the method in any one of claims 1 to 3,
Characterized in that, in step c), acceleration event (20) is identified by pattern matching algorithm.
CN201280072357.XA 2012-04-25 2012-04-25 Method for investigating Wheel Rail Contact Expired - Fee Related CN104271428B (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/RU2012/000318 WO2013162398A1 (en) 2012-04-25 2012-04-25 Method for surveying rail-wheel contact

Publications (2)

Publication Number Publication Date
CN104271428A CN104271428A (en) 2015-01-07
CN104271428B true CN104271428B (en) 2017-12-15

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CN (1) CN104271428B (en)
RU (1) RU2596048C2 (en)
WO (1) WO2013162398A1 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2937241B1 (en) * 2014-04-24 2017-03-08 Hitachi, Ltd. Railway vehicle damage estimation
US10124819B2 (en) 2016-08-08 2018-11-13 General Electric Company Wheel deformity warning system
PL423476A1 (en) * 2017-12-11 2019-06-17 Instytut Logistyki I Magazynowania Method for distinguishing individual vehicles in the travelling railway vehicles set and the system for application of this method
CN110758456B (en) * 2019-11-08 2021-06-08 哈尔滨工业大学 Wheel rail health state monitoring system and method

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE1111233B (en) * 1959-11-10 1961-07-20 Ing Ludwig Schenkir Device for determining vertical unevenness in rails
JPS59187241A (en) * 1983-04-07 1984-10-24 Shinko Electric Co Ltd Detecting device of flat of wheel
HU200432B (en) * 1986-08-01 1990-06-28 Magyar Allamvasutak Measuring method and apparatus for qualifying the condition of railway tracks
JP2720172B2 (en) * 1988-08-12 1998-02-25 帝都高速度交通営団 Parallel recording method of train sway data and track data
JPH07107245B2 (en) * 1991-12-02 1995-11-15 日本機械保線株式会社 How to check the track condition
US5433111A (en) * 1994-05-05 1995-07-18 General Electric Company Apparatus and method for detecting defective conditions in railway vehicle wheels and railtracks
JP2000136988A (en) * 1998-10-30 2000-05-16 East Japan Railway Co Detection method for wave-shaped abrasion of rail
JP2002541448A (en) * 1999-04-01 2002-12-03 シーメンス シュヴァイツ アクチエンゲゼルシャフト Method and apparatus for monitoring bogies of a multi-axle vehicle
IT1320400B1 (en) * 2000-06-06 2003-11-26 Skf Ind Spa METHOD AND EQUIPMENT FOR DETECTING DEFECTS OF ROUNDNESS IN A WHEEL OF A RAILWAY VEHICLE.
JP3630079B2 (en) * 2000-06-15 2005-03-16 住友金属工業株式会社 Repair replacement time detection method
RU2203819C2 (en) * 2000-08-04 2003-05-10 Открытое акционерное общество "Всероссийский научно-исследовательский институт транспортного машиностроения" Method of and device for measuring rail vehicle wheel wear parameters
GB2367365B (en) * 2000-10-02 2002-08-14 Strainstall Engineering Servic Measuring train parameters
US20070203621A1 (en) * 2004-11-23 2007-08-30 Lioyd Haugen Rail track evaluation system
US7920984B2 (en) * 2007-03-15 2011-04-05 Board Of Regents Of The University Of Nebraska Measurement of vertical track modulus using space curves
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
WO2008122319A1 (en) * 2007-04-05 2008-10-16 Siemens Transportation Systems Gmbh & Co. Kg Measuring arrangement for the contactless and continuous determination of routing and track layout of railroad tracks
DE102009020428A1 (en) * 2008-11-19 2010-05-20 Eureka Navigation Solutions Ag Device and method for a rail vehicle
NL2003351C2 (en) * 2009-08-13 2011-02-15 Univ Delft Tech Method and instumentation for detection of rail top defects.

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Publication number Publication date
RU2014147218A (en) 2016-06-10
CN104271428A (en) 2015-01-07
WO2013162398A1 (en) 2013-10-31
RU2596048C2 (en) 2016-08-27

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