CN108734060A - A kind of recognition methods of high-speed EMUs wheel polygonization and device - Google Patents
A kind of recognition methods of high-speed EMUs wheel polygonization and device Download PDFInfo
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- CN108734060A CN108734060A CN201710256490.5A CN201710256490A CN108734060A CN 108734060 A CN108734060 A CN 108734060A CN 201710256490 A CN201710256490 A CN 201710256490A CN 108734060 A CN108734060 A CN 108734060A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
Abstract
The present invention is suitable for the technical field of High Speed Railway Trains wheel wear identification, and the recognition methods and device, recognition methods for providing a kind of high-speed EMUs wheel polygonization include：Using the strain transducer of flange of rail longitudinal direction, the response that the wheel excitation through section generates rail is sailed by monitoring, obtains the rail response signal under wheel excitation；Rail response signal under wheel excitation is pre-processed；Signal characteristic is extracted on the basis of rail response signal is pretreated, constructs wheel polygonization index；Using the wheel polygonization index of construction, wheel polygonization failure is identified.Advantageous effect of the present invention is two aspects, on the one hand, realizes high-speed EMUs wheel polygonization state online recognition, provides wheel fault early warning, on the other hand, tracks motor train unit wheel state evolution, wheel Xuan is instructed to repair work.It, can be to there are the wheels of polygon failure to take timely and effectively Measuring error measure based on the efficient identification algorithm software that the present invention develops.
Description
Technical field
The invention belongs to the technical field of High Speed Railway Trains wheel wear identification more particularly to a kind of motor train units
Take turns recognition methods and the device of polygonization.
Background technology
Wheel polygonization failure is a kind of non-rounding phenomenon of typical wheel.Existing detection method can be roughly divided into
Static detection and dynamic detection two major classes.
Static detection method is based primarily upon mechanical contact detection technique and image detecting technique, belongs to non-destructive testing class,
It is required that vehicle is under static state, wheel tread circumference is scanned by portable ultraphonic detection device, it can be more quick
Ground obtains wheel pedal face diameter and jumps situation of change circumferentially, since this technology can obtain more accurately wheel out of round degree
Testing result, domestic and international most railway operation department including China Railway High-speed are widely used this technology, as
The foundation of wheel condition evaluation.But stationary detection technique is due to the limitation in its method, it is difficult in a short time, to permutation
All EMU runed on EMU even circuit are detected, and can not also grasp the wheel condition of vehicle in use in real time, no
It is identified conducive to wheel fault.
And dynamic detection can then overcome the above problem, dynamic detection be divided into it is other with indirect detection two major classes directly to detect,
Direct Detection Method includes that photovoltaic measurement, detection method of eddy, wheel empty method, contact measuring method etc..Direct Detection Method is substantially former
Reason is to capture vehicle in the process of running to the variation sensibility of the parameters such as laser, electric current, displacement using detection technique, wheel with
The geometric position of rail changes, to identify the failures such as wheel flat.Direct detecting method principle is simple, convenient for promoting, but examines
Surveying precision can be achieved by a variety of factors, such as car weight, speed, wheel track rigidity, in addition, in order to ensure accuracy of detection, often
May require that vehicle with low speed operation (<5km/h), it is online in motor train unit wheel state to constrain direct Detection Method for above-mentioned drawback
Popularization and application in terms of monitoring.
Indirect detection method includes mainly wheel-rail noise detection method, rail vibration accelerating detection, the inspection of wheel-rail impact load
Survey method, axle box vibration acceleration detection method etc..The principle of indirect detection method is mainly based upon not rounded wheel and interacts with rail
With the different characteristic of smoother wheel, wheel condition and identification wheel fault are evaluated.The above method is detected except axle box vibration acceleration
Method (this method only for specific wheel, do not evaluate all military service wheels, therefore its not within the scope of the present invention discusses) outside,
Remaining detection method is based on side sensing technology.
Many detection techniques currently with sensing equipment by road for wheel polygonization failure are still in development phase,
The development of wheel and portion's Condition Monitoring Technology out of shape far lags behind the market demand so that wheel Xuan repair work lack effectively according to
According to.And high-speed railway has been seriously affected in the property such as comfortable, safe and environment-friendly by the wheel fault of representative of wheel polygonization
The problem of energy constrains the promotion of High-speed Railway Network service quality, identifies wheel polygonization failure is urgently to be resolved hurrily.
Invention content
In view of this, an embodiment of the present invention provides the recognition methods of high-speed EMUs wheel polygonization and device, purport
It is solving to realize high-speed EMUs wheel polygonization state online recognition, wheel fault early warning is provided.
The first aspect of the embodiment of the present invention provides a kind of recognition methods of high-speed EMUs wheel polygonization, packet
It includes：
Using the strain transducer of flange of rail longitudinal direction, the response that the wheel excitation through section generates rail is sailed by monitoring,
Obtain the rail response signal under wheel excitation；
Rail response signal under wheel excitation is pre-processed；
Signal characteristic is extracted on the basis of rail response signal is pretreated, constructs wheel polygonization index；
Using the wheel polygonization index of construction, wheel polygonization failure is identified.
Wherein, wheel polygonization index be after pretreatment rail response signal corresponded in fixed order it is effective on frequency band
The ratio between value and original signal amplitude, original signal are the rail response signal before pretreatment, and fixed order is fixed polygon
Order.
The second aspect of the embodiment of the present invention provides a kind of identification device of high-speed EMUs wheel polygonization, packet
It includes：
Rail response signal acquisition module is sailed by monitoring through section for the strain transducer using flange of rail longitudinal direction
The response that wheel excitation generates rail obtains the rail response signal under wheel excitation；
Signal pre-processing module, for being pre-processed to the rail response signal under wheel excitation；
Wheel polygonization index constructing module, it is special for extracting signal on the basis of rail response signal is pretreated
Sign constructs wheel polygonization index；
Fault identification module identifies wheel polygonization failure for the wheel polygonization index using construction.
Wherein, wheel polygonization index be after pretreatment rail response signal corresponded in fixed order it is effective on frequency band
The ratio between value and original signal amplitude, original signal are the rail response signal before pretreatment, and fixed order is fixed polygon
Order.
Existing advantageous effect is the embodiment of the present invention compared with prior art：
It site preparation can identify soon there are the EMU wheel of polygon failure, so that EMU operation maintenance work effect
Rate is largely increased.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only the present invention some
Embodiment for those of ordinary skill in the art without having to pay creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the implementation flow chart of the recognition methods of high-speed EMUs wheel polygonization provided in an embodiment of the present invention；
Fig. 2 is the preferable layout drawing of strain transducer array provided in an embodiment of the present invention；
Fig. 3 is the sample figure for the response time-history curves that a row EMU passes through single strain transducer when monitoring section；
Fig. 4 is the preferable layout drawing of test sensor that the bright embodiment of this reality provides；
Fig. 5 (a), (b) are respectively rail sound after the original rail response signal that strain transducer obtains on the web of the rail, pretreatment
The preferable sample figure of induction signal；
Fig. 6 (a), (b) are respectively rail sound after the original rail response signal that strain transducer obtains on the web of the rail, pretreatment
The preferable sample figure of induction signal；
Fig. 7 (a), (b), (c) are respectively the sample figure of 9#, 10#, 12# wheel tread static test result；
Fig. 8 is the structure diagram of the identification device for the high-speed EMUs wheel polygonization that the embodiment of the present invention four provides；
Fig. 9 is the schematic block diagram for the terminal that the embodiment of the present invention five provides.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, the instruction of term " comprising " is described special
Sign, entirety, step, operation, the presence of element and/or component, but be not precluded one or more of the other feature, entirety, step,
Operation, element, component and/or its presence or addition gathered.
It is also understood that the term used in this description of the invention is merely for the sake of the mesh for describing specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singulative, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combinations and all possible combinations of one or more of associated item listed, and includes these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt
Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or
" if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true
It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In the specific implementation, the terminal described in the embodiment of the present invention is including but not limited to such as with touch sensitive surface
The mobile phone, laptop computer or tablet computer of (for example, touch-screen display and/or touch tablet) etc it is other just
Portable device.It is to be further understood that in certain embodiments, the equipment is not portable communication device, but with tactile
Touch the desktop computer of sensing surface (for example, touch-screen display and/or touch tablet).
In following discussion, the terminal including display and touch sensitive surface is described.It is, however, to be understood that
It is that terminal may include one or more of the other physical user-interface device of such as physical keyboard, mouse and/or control-rod.
Terminal supports various application programs, such as one of the following or multiple：Drawing application program, demonstration application journey
Sequence, word-processing application, website create application program, disk imprinting application program, spreadsheet applications, game application
Program, telephony application, videoconference application, email application, instant messaging applications, exercise
Support application program, photo management application program, digital camera application program, digital camera application program, web-browsing application
Program, digital music player application and/or video frequency player application program.
The various application programs that can be executed in terminal can use at least one public of such as touch sensitive surface
Physical user-interface device.It can adjust and/or change among applications and/or in corresponding application programs and touch sensitive table
The corresponding information shown in the one or more functions and terminal in face.In this way, the public physical structure of terminal is (for example, touch
Sensing surface) it can support the various application programs with intuitive and transparent user interface for a user.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Embodiment one
With reference to figure 1, Fig. 1 is the realization of the recognition methods of high-speed EMUs wheel polygonization provided in an embodiment of the present invention
Flow chart, this method is applied to terminal, as shown in Figure 1, the recognition methods of the high-speed EMUs wheel polygonization may include
Following steps：
S101 sails what the wheel excitation through section generated rail using the strain transducer of flange of rail longitudinal direction by monitoring
Response obtains the rail response signal under wheel excitation；
When wheel passes through the flange of rail, S101 is executed.
Optionally, before S101, the recognition methods includes：
On the rail of left rail or right rail, strain transducer is laid along longitudinal direction, forms strain transducer array, is covered with realizing
Cover the polygonization fault detect of entire wheel tread circumference.
Wherein, by equidistant mode, strain transducer is laid along longitudinal direction.
For purposes of illustration only, the polygonization evaluation of each position of covering wheel tread circumference, is described as follows：
High-speed EMUs wheel tread circumferential length is 2.9m or so, measuring point is fixed on rail is only capable of covering wheel tread and exist
The monitoring of the state of certain distance (0.5m~1m) near Wheel/Rail Contact Point.
In order to cover the wheel condition monitoring of each position of wheel tread circumference, need equidistantly to lay sensing on rail
Device, forms strain transducer array, and the spacing of strain transducer depends on the wheel that single strain transducer can be covered effectively
The distance of tread detection.For strain transducer, the usual spacing is not more than 0.5m.
With reference to figure 2, Fig. 2 is the preferable layout drawing of strain transducer array provided in an embodiment of the present invention.
Due to needing the tread for covering wheel circumference range to detect, therefore array length should be not less than wheel tread perimeter.Root
According to the demand, to realize the polygonization fault detect for covering entire wheel tread circumference, in terms of sensor arrangement, use
The strain transducer array of the flange of rail, the flange of rail in two rail sides (inner or outer side) of left and right are longitudinally arranged.Strain transducer battle array
Referred to as " array ", array length 3m can be lengthened row by specific requirements, and array inner sensor spacing is 0.3m, can be arranged half
Sleeper spacing can also be lengthened by specific requirements.
Wherein, using strain transducer, the difference in response opposite sex at rail each point can find full expression, this makes adjacent
The excitation of wheel can be distinguished effectively.
And the existing wheel fault recognizer logic based on strain transducer gathered data is mostly " with a survey line
(circumference) ", i.e. its corresponding sensor choose a section only on rail longitudinal direction and lay simultaneously gathered data, with this
Monitoring point collected data reflect the situation of entire wheel tread.But in fact, the rail that single monitoring section measures is rung
Should be only capable of covering wheel tread certain length circular arc range (<Status monitoring 1m), and within the scope of wheel tread circumferential length
Diameter diving often there is inconsistent situation usually, so use it is traditional based on single section monitoring data wheel fault identification
Method cannot meet actual demand.Compared with prior art, algorithm logic of the invention is " with line survey line (circumference) ", using biography
Sensor array monitoring data carry out wheel polygon fault identification, it can be achieved that sail the high-speed EMUs wheel through monitoring section into
Driving wheel tread circle status monitoring so that dead angle is not present in the identification of wheel polygonization, while may recognize that wheel tread
The failures such as upper part scratch, flat scar.
S102 pre-processes the rail response signal under wheel excitation；
S103 extracts signal characteristic on the basis of rail response signal is pretreated, constructs wheel polygonization index；
Pretreated rail response signal is decomposed according to different frequency bands, identifies the fixation order of polygon；
It obtains fixed order and corresponds to the virtual value on frequency band, according to the ratio between virtual value and original signal amplitude, construct wheel
Polygonization index.
S104 identifies wheel polygonization failure using the wheel polygonization index of construction.
Wherein, wheel polygonization index be after pretreatment rail response signal corresponded in fixed order it is effective on frequency band
The ratio between value and original signal amplitude, original signal are the rail response signal before pretreatment, and fixed order is fixed polygon
Order.
The advantageous effect of the embodiment of the present invention is the following aspects, and details are as follows：
In a first aspect, realizing the online recognition of high-speed EMUs wheel polygonization state, it is pre- to provide wheel fault
It is alert；
Second aspect tracks motor train unit wheel state evolution, wheel Xuan is instructed to repair work.
The third aspect, the recognition methods of high-speed EMUs wheel polygonization are disconnected by monitoring based on high-speed EMUs
When face, rail response signal that strain transducer array monitors and develop, can be used for working out based on monitoring number in real time
According to wheel polygonization recognition software system；
Fourth aspect, wheel polygonization recognition software system can be installed on each high-speed railway circuit main track, monitoring
Daily hundreds of motor train unit wheel states to by the circuit, monitoring data can be real-time transmitted to car operation administrative department
Monitoring system, grasp vehicle service state at any time for it.
5th aspect, by the efficient recognizer software based on development of the embodiment of the present invention, to there are polygon events
The wheel of barrier takes timely and effectively Measuring error measure.
6th aspect, the requirement of the recognition methods of high-speed EMUs wheel polygonization to hardware support kit system is relatively low, can
The sensor and data acquisition hardware system of compatible a variety of low costs, monitoring system such as based on resistance strain gage, based on optical fiber
Monitoring system of grating sensing technique etc. so that hardware development is able to be adjusted flexibly according to field monitoring condition
Embodiment two
The embodiment of the present invention describes the implementation process that the extraction of rail response signal and speed calculate under each wheel excitation, in detail
It states as follows：
Pt at the time of corresponding to the peak value Ps and peak value of single strain transducer acquisition signal is identified, in each peak value left and right sides
Take points (N-1)/2 that sequence si, the j of N × 1 is collectively formed with peak value, which is that i-th of strain transducer is collected
Flange of rail strain-responsive signal under j-th of wheel excitation；
Wherein, (1, M) i ∈, M are strain transducer number in unilateral flange of rail strain transducer array, j ∈ (1, L), Ps and
Pt is 1 × L vectors, and L is the wheel logarithm of permutation EMU, and sequence length N is adjustable parameter.Sequence length N can be according to sampling
Frequency is adjusted and establishes its relationship between speed, it is contemplated that value is to be responded under two wheel excitations of same bogie
Signal points between two peak values of signal.
Wherein, using strain transducer, the difference in response opposite sex at rail each point can find full expression, this makes adjacent
The excitation of wheel can be distinguished effectively.The temporal signatures that this algorithm is responded according to single measuring point produce each wheel excitation
Raw response signal extracts, and then greatly facilitates wheel condition monitoring and the identification of polygon failure.
Further, since polygon order is directly related with by the speed of monitoring section, shown in relational expression such as formula (1)：
In formula, v is speed, and h is polygon order, and D is wheel diameter.It can be seen that therefore the monitoring of speed is most important.
Temporal signatures of this algorithm based on strain transducer monitoring data can calculate each according to EMU wheelbase or sensor spacing
Wheel is to passing through speed when monitoring section.
With reference to figure 3, Fig. 3 is the sample for the response time-history curves that a row EMU passes through single strain transducer when monitoring section
Illustration, details are as follows：
As shown in figure 3, for single strain transducer monitoring data, when a row EMU passes through the sensor,
There is peak value on response signal time-history curves under each wheel excitation, which, which passes through with wheel in time-histories, corresponds.
Therefore, according to wheelbase (source：Vehicle design parameters) with time-history curves on peak separation (source：Sensor acquires signal),
The speed that vehicle passes through the measuring point moment in specific wheel can be extrapolated.
The embodiment of the present invention increases on the basis of embodiment one " identifies the peak value of single strain transducer acquisition signal
The sequence of N × 1 is collectively formed in each peak value or so side draw points (N-1)/2 with peak value by Pt at the time of corresponding to Ps and peak value
Si, j " are arranged, each wheel can be effectively distinguished, the response signal of the rail under the effect of single wheel is extracted, is allowed to evaluating
The interference for closing on wheel is filtered out when wheel condition, improves the polygonization accuracy of identification of single wheel.
And existing piece wheel fault identification algorithm is the data based on rail vibration acceleration or wheel-rail radiation noise
It proposes, but vibration acceleration and noise signal are often by multiple wheels (being usually four wheels of same bogie) and rail
The signal formed in response to phase aliasing caused by interaction.When handling these hybrid response signals, need to isolate each
Rail response under a wheel excitation, since the precision of Signal separator can be limited by signal processing technology, after this will make
The wheel there are failure can not be accurately positioned in continuous wheel fault identification.Compared with prior art, the present invention is due to acquiring
The separation of the corresponding response of different wheel excitation can have been realized in source data, therefore can effectively overcome the problems, such as this.
Embodiment two
The embodiment of the present invention describes the pretreated implementation process of rail response signal, and details are as follows：
To the rail response signal under the collected wheel excitation of each strain transducer, the pre- place on elimination trend top is carried out
Reason.
According to formula (1), there are one-to-one relationships with rail response signal frequency for wheel polygon order, therefore in order to know
Other wheel polygonization failure needs to carry out frequency-domain analysis to the response signal of rail under wheel excitation.If wheel tread is enough
Smoother, then under the wheel (it is assumed that j-th of wheel) excitation, any one in flange of rail sensor array (is assumed to be i-th)
The collected rail response signal s of strain transduceri,jIt should be a smooth curve；If wheel tread has the polygon of fixed order
Shape failure, this Harmonic Type is not smoother will be on the original smooth curve of response signal, and being superimposed with one has fixed frequency
The disturbing signal of rate, and the relationship between frequency f and polygon order h meets formula (1).
The embodiment of the present invention uses the response signal under S-G filters each wheel excitation collected to each sensor to carry out
Disappear the pretreatment that becomes.
For one group of original response signal S(0)(S(0)=(s(0),1,s(0),2,...,s(0),N) be it is extracted after original sound
Induction signal, i.e., the sequence s of one specific N × 1i,j), S-G filters can be used and carry out m times to it smoothly, obtain one more
Smooth response curve S(m), and think that the curve is response when ideal smoother wheel passes through Sensor monitoring section.According to
S-G Filter Principles, have
S(m)=AS(m-1)=AmS(0) (2)
Wherein, A is 5 cubic polynomial smoothing factor matrixes.
Had through the pretreated response signal S ' that becomes that disappears based on this
S'=S(0)-S(m) (3)
The Preprocessing Algorithm example that becomes of disappearing about data is found in this table (I) (m) item content.Note：Data smoothing number m is to calculate
Adjustable parameter in method can be adjusted according to curve smoothing degree or final polygon fault identification precision, according to practical experience, m
Suggestion value be 500~1000.
The embodiment of the present invention is increased on the basis of embodiment two " under the collected wheel excitation of each strain transducer
Rail response signal, carry out the pretreatment on elimination trend top ", since flange of rail response signal contains trend term under wheel excitation
(i.e. above-mentioned " smooth curve "), and trend term curve needs filter out in polygonization fault identification, therefore in fault signature
Before extraction, reply sensor signal is using the pretreatment for eliminating trend term.
Embodiment three
The embodiment of the present invention describes the implementation process of wheel polygonization fault signature extraction, and details are as follows：
The extraction of wheel polygonization fault signature is the rail after offseting on the basis of rail response signal is pretreated
Response signal S ' carries out signal characteristic abstraction.
Formula (1) is rewritten as the function that response signal frequency is polygon order first：
Preceding to have addressed, the polygonization wheel of specific order will excite the rail of fixed frequency to respond, and the response energy
Amount will focus in a narrowband frequency range.It, can be by rail strain-responsive signal according to difference in order to identify the order of polygon
Band decomposition.Each mid-band frequency is f (h), is determined by some specific order h, bound frequency fl(h) and fu(h) can determine
Justice is：
Wherein, v is speed, and h is fixed polygon order, and D is wheel diameter, in order to obtain frequency band (fl,fu) in steel
Rail response signal after pretreatment can be carried out bandpass filtering by rail response signal：
Y(k,fl,fu)=HkSk (6)
S in formulakFor stThe discrete Fourier transform of (t=0,1 ..., n-1) is composed, stIt responds and believes for rail after pretreatment
Number, as S ', Y (k, fl,fu) composed for the DFT after bandpass filtering, HkFor filter function, HkSpecially：
Pass through inverse Fourier transform, frequency band (fl,fu) in narrowband rail response signal can be obtained by following formula：
Based on the narrowband response signal obtained by formula (8), a wheel polygonization index based on signal characteristic can define
PI, such as following formula：
From formula (9) as can be seen that wheel polygonization index PI is that rail response signal is fixing h pairs of order after pre-processing
Answer the ratio between virtual value and preceding rail response signal amplitude of pretreatment on frequency band.It is worth calculating by PI, it can be from acquisition signal
In extract the information of polygon order and polygonization fault degree, achieve the purpose that polygonization fault identification.
The embodiment of the present invention increases on the basis of embodiment one, two on the basis of rail response signal is pretreated,
Rail response signal S ' after offseting carries out signal characteristic abstraction, constitutes wheel polygonization index PI, can believe from acquisition
The information that polygon order and polygonization fault degree are extracted in number achievees the purpose that polygonization fault identification, has
Following advantage：Feature extraction of the wheel polygonization recognizer based on gathered data, can lower speed (<20km/h)
Under the conditions of ensure wheel polygonization failure accuracy of identification.
In addition, existing be mostly based on time domain or frequency-domain analysis based on the wheel fault recognition methods sensed by road, it can
The wheel polygon failure jumped compared with major diameter is identified under the conditions of higher speed.It is usually smaller but for high-speed EMUs
Diameter jump value (<0.025mm, roughness 20dB or less) the running Types of Abnormal Vibration Appearances of vehicle will be caused, it needs monitoring
When be subject to early warning, and lesser degree of polygonization failure is difficult to identify by general signal analysis means.Another party
Face, in order to keep polygonization wheel excitation sufficiently large to readily identified, existing wheel polygon fault identification algorithm is usual
It is required that vehicle must run at high speed by monitoring section (>80km/h), so there are limitations when monitoring section is selected.With it is existing
There is technology to compare, the present invention can effectively overcome above-mentioned two problems by pretreatment to gathered data and Feature Extraction Technology,
The identification of small polygon failure is realized under the conditions of relatively low speed.
It should be understood that the size of the serial number of each step is not meant to the elder generation of execution sequence in above-described embodiment one, two, three
Afterwards, the execution sequence of each process should be determined by its function and internal logic, the implementation process structure without coping with the embodiment of the present invention
At any restriction.
Example IV
The embodiment of the present invention describes the preferable implementation process of recognition methods, and details are as follows：
According to sensor positioning scheme and polygonization recognizer, a set of wheel polygonization fault identification system is developed
System, is installed on a test wire, and is equipped with there are the high-speed EMUs of polygon failure wheel pair using a row, is unfolded
Polygonization identification test, test situation are described below：
Profile test
According to the specified wheel polygonization monitoring method of the present invention, have at one section using optical fiber grating sensing monitoring technology
Rail response signal under the installation of monitoring device, polygonization wheel excitation is completed on the test wire that high-speed EMUs is passed through
Acquisition, and wheel polygon failure is identified using the algorithm in the present invention.Strain transducer, that is, strain gauge transducer, packet
Include but be not limited to fiber grating strain meter, fiber grating strain flower.
In addition, in order to compare the superiority-inferiority of different sensors arrangement, in addition to flange of rail optical fiber optical grating array, we are also
Use other two kinds optional strain transducer arrangements：
1) the vertical fiber grating strain meter of the web of the rail is installed on web of the rail position of neutral axis right over sleeper；
2) shear force method measuring wheel rail dynamic force principle is utilized, the web of the rail arranges fiber grating strain in position of neutral axis both sides
Flower.
The results show that the present invention can accurately realize wheel alignment and polygon rank with polygonization failure
Secondary, roughness identification；Compared to other two kinds of sensor positioning schemes, it is proposed that flange of rail strain transducer array cloth
The scheme of setting can meet the identification needs of wheel polygonization failure in the case where sensor dosage is less.
Pilot system is installed
This experiment, as pilot system, acquires rail strain-responsive signal using fiber grating sensing and monitoring system.It should
System by be installed on test wire rail fiber grating strain meter, for the communication grade armored optical cable of signal transmission, for believing
Number analysis and storage optical fibre interrogation instrument and to gathered data carry out.
It should be pointed out that the online wheel polygonization fault identification software based on the present invention is not used in this experiment,
This experiment main purpose is to verify the applicability of inventive algorithm, the verification of specific implementation form is not related to, as software is opened
Hair.
In terms of sensor arrangement, in order to compare the superiority-inferiority of different sensors arrangement, this experiment uses three kinds
Sensor positioning scheme：
1) the vertical fiber grating strain meter of the web of the rail is installed on web of the rail position of neutral axis right over sleeper
In this test, arranges grating right over two rails, two sleepers of left and right, amount to 8 gratings.The strain value of output
The sum that should be same rail both sides grating output signal, is proportional to wheel-rail interaction power, that is, has：
In (10) formula, P in above formulaN1,PN2,PS1,PS2For wheel rail force right over the rail sleeper of left and right, Δ λNWO1~Δ λNWO8
And Δ λSWO1~Δ λSWO8For the variable quantity of grating reflection wavelength under the influence of by wheel excitation, K is that fiber grating strain meter is sensitive
Degree, unit is pm/ μ ε.
2) shear force method measuring wheel rail dynamic force principle is utilized, the web of the rail arranges fiber grating strain in position of neutral axis both sides
Flower
In this test, the principle of wheel rail force is surveyed according to shear force method, in two rail both sides web of the rail position of neutral axis arrangement of left and right
Grating strain floriation amounts to 16 gratings.The strain value γ of outputN,γSThe wavelength variable quantity Δ λ measured with gratingNWO1~Δ
λNWO8And Δ λSWO1~Δ λSWO8Meet following relationship：
γ simultaneouslyN,γSWith wheel rail force PN,PSRelationship meet：
In (12) formula, J is rail section the moment of inertia, and b is web of the rail thickness at neutral axis, is cut above or below S neutral axis
Face area moment, G are rail shearing rigidity.
3) using the specified sensor positioning scheme of the present invention, in the longitudinally arranged fiber grating strain meter of the flange of rail.
The fiber grating strain meter that arrangement spacing is 0.15m on the outside of two rails of left and right in this test, amounts to 2 strip arrays,
10 gratings.The strain value ε of outputNBLi,εSBLiThe wavelength variable quantity Δ λ measured with gratingNBLiAnd Δ λSBLi(due to this examination
Test left and right the two rail flanges of rail be mounted with 5 fiber grating strain meter i=1,2,3,4,5 respectively), rail flange of rail moment MNi,MSiIt is full
It is enough lower relationship：
In (13) formula, E is steel rail spring modulus, and y is the vertical distance of flange of rail sensor and neutral axis.
With reference to figure 4, Fig. 4 is the preferable layout drawing of test sensor that the bright embodiment of this reality provides.
FBG visble side be visible part, FBG hidden side be invisible part, SBL1-4, SWV1-4,
SWO1-8, NWO1-8, NWV1-4, NBL1-5 refer both to the number of strain transducer.
It should be pointed out that in a particular application, the length of flange of rail strain transducer array should be not less than wheel circumference, to real
Now cover the polygonization fault detect of wheel tread circle.But in this test, due to the tread of known fault wheel
It is not smoother in the presence of the single wavelength Harmonic Type of covering circle, therefore monitor the response of the lower rail of any arc section excitation of wheel
Reflect wheel polygonization failure.Therefore, this test only selects the orbital segment of a sleeper spacing in terms of sensor arrangement
Carry out the sensor installation of above-mentioned three kinds of arrangements.
Experiment process and data acquisition
This test saves the high-speed EMUs organized into groups as test vehicle, and by which part wheel to replacing using a row 8
For the wheel pair with polygonization failure.It enables the EMU cross the orbital segment for being equipped with sensor, and triggers monitoring system
Data acquire store function, record rail strain-responsive of the full row by caused each point position.
Data prediction
Fig. 5 (a), (b) are respectively rail sound after the original rail response signal that strain transducer obtains on the web of the rail, pretreatment
The preferable sample figure of induction signal；
Fig. 6 (a), (b) are respectively rail sound after the original rail response signal that strain transducer obtains on the web of the rail, pretreatment
The preferable sample figure of induction signal.
Fig. 5 (a) show sensor positioning scheme 1) and 2) corresponding to output data time-history curves (on the rail of left side
Waveform of the sensor when single bogie passes through, similarly hereinafter), Fig. 6 (a) show sensor positioning scheme 3) in 5, left side
The time-history curves of output data corresponding to grating.As shown in Fig. 5 (b) and 6 (b), these monitoring data are pre-processed, it can
To obtain the rail response signal after disappearing.
Polygonization index (PI) calculates
According to the PI value calculating methods that formula (5)~(9) provide, the signal after offseting carries out PI value calculating, according to calculating
As a result, 10# wheels are considered, there are polygonization failures, and from based on scheme 3) (sensor positioning scheme that the present invention specifies)
Wheel polygonization recognition result, it has also been found that there are doubtful polygonization failures for 9# and 12# wheels.
With reference to figure 7, Fig. 7 (a), (b), (c) are respectively the sample figure of 9#, 10#, 12# wheel tread static test result.For
The recognition effect for evaluating and comparing wheel polygonization failure under the conditions of three kinds of schemes, 9#, 10#, 12# wheel tread is static
Test result and its case where being detected under the conditions of three kinds of sensor positioning schemes, are listed in Table 1 below.
From the point of view of the analysis result of table 1：
1) there are 20 rank polygons for 10# wheels, and roughness reaches 26dB on the order, which can be complete
The point layout scheme detection of three kinds of portion；And 9# the and 12# wheels of 20 rank polygons are equally existed since its roughness levels is relatively low
(<20dB), it is only capable of being identified by the part strain gauge in the specified flange of rail sensor array of the present invention, and other two kinds of conducts pair
The sensor positioning scheme of ratio then cannot recognize that the two, and there are the wheels of slight polygonization failure.
2) recognition effect of three kinds of point layout schemes is compared, the scheme specified by the embodiment of the present invention, which is removed, can recognize that
Except small polygon failure, scheme 1 is compared) (to misrepresent deliberately) rate relatively low for its I class mistake；Compared to scheme 1) and scheme 2), output
Semaphore is relatively high with sensor dosage, is 1:1 (scheme 1) is 1:2, scheme 2) it is 1:8, that is, it needs to use 2 and 8 respectively
Strain gauge can export 1 group of signal).
3) for the sensor positioning scheme specified by the present invention, the position relationship of measuring point and sleeper is to polygonization
There are certain influence, analysis results to show for accuracy of identification, uses the flange of rail strain gauge output signal phase right over sleeper
Than in the measuring point of other positions, in terms of carrying out polygonization order identification, there is better precision.
1 wheel polygonization recognition result of table compares
Conclusion (of pressure testing)
Broken by monitoring in conclusion the polygonization recognizer of the present invention can run (20km/h) in vehicle low speed
More small wheel polygonization failure (26dB and following) is accurately identified when face；Using the specified sensor arrangement side of the present invention
Case (output signal is derived only from single strain gauge) can ensure enough polygonizations in the case where sensor usage amount is small
Fault identification precision.This test effectively demonstrate the present invention can solve the problems, such as and its more existing science and technology have how it is winning it
Place.
Embodiment five
Corresponding to the recognition methods of the high-speed EMUs wheel polygonization described in foregoing embodiments one, two, three, four, ginseng
Fig. 8 is examined, Fig. 8 is the structure diagram of the identification device for the high-speed EMUs wheel polygonization that the embodiment of the present invention four provides, and is answered
For terminal, terminal include but not limited to video camera, mobile phone, pocket computer (Pocket Personal Computer,
PPC), palm PC, computer, laptop, personal digital assistant (Personal Digital Assistant, PDA),
MP4,MP3.For purposes of illustration only, only the parts related to this embodiment are shown.For convenience of description, it illustrates only and this implementation
The relevant part of example.
With reference to Fig. 8, the identification device of the high-speed EMUs wheel polygonization includes：
Rail response signal acquisition module 81 is sailed by monitoring through section for the strain transducer using flange of rail longitudinal direction
Wheel excitation response that rail is generated, obtain the rail response signal under wheel excitation；
Signal pre-processing module 82, for being pre-processed to the rail response signal under wheel excitation；
Wheel polygonization index constructing module 83, it is special for extracting signal on the basis of rail response signal is pretreated
Sign constructs wheel polygonization index；
Fault identification module 84 identifies wheel polygonization failure for the wheel polygonization index using construction.
Wherein, wheel polygonization index be after pretreatment rail response signal corresponded in fixed order it is effective on frequency band
The ratio between value and original signal amplitude, original signal are the rail response signal before pretreatment, and fixed order is fixed polygon
Order.
As a kind of realization method of the present embodiment, in the identification device of the high-speed EMUs wheel polygonization, institute
Rail response signal acquisition module is stated to be specifically used for identifying corresponding to the peak value Ps and peak value of single strain transducer acquisition signal
At the time of Pt, sequence si, the j of N × 1 is collectively formed in each peak value or so side draw points (N-1)/2 and peak value, which is
Flange of rail strain-responsive signal under collected j-th of the wheel excitation of i-th of strain transducer；
Wherein, (1, M) i ∈, M are strain transducer number in unilateral flange of rail strain transducer array, j ∈ (1, L), Ps and
Pt is 1 × L vectors, and L is the wheel logarithm of permutation EMU, and sequence length N is adjustable parameter；
The signal pre-processing module is specifically used for responding the rail under the collected wheel excitation of each strain transducer
Signal carries out the pretreatment on elimination trend top.
As a kind of realization method of the present embodiment, in the identification device of the high-speed EMUs wheel polygonization, institute
Identification device is stated, further includes：
Speed calculation module is used for the temporal signatures based on strain transducer monitoring data, according to EMU wheelbase or biography
Sensor spacing calculates speed when each wheel passes through monitoring section.
As a kind of realization method of the present embodiment, in the identification device of the high-speed EMUs wheel polygonization, institute
Wheel polygonization index constructing module is stated to be specifically used for：
Rail response signal is decomposed according to different frequency bands, each mid-band frequency is f (h), bound frequency fl(h) and
fu(h) it is specially：
fl(h)=(h-0.5) v/ π D
fu(h)=(h+0.5) v/ π D
Wherein, v is speed, and h is fixed polygon order, and D is wheel diameter, in order to obtain frequency band (fl,fu) in steel
Rail response signal after pretreatment can be carried out bandpass filtering by rail response signal：
Y(k,fl,fu)=HkSk
S in formulakFor stThe discrete Fourier transform of (t=0,1 ..., n-1) is composed, stIt responds and believes for rail after pretreatment
Number, as S ', Y (k, fl,fu) composed for the DFT after bandpass filtering, HkFor filter function, HkSpecially：
Pass through inverse Fourier transform, frequency band (fl,fu) in narrowband rail response signal can be obtained by following formula：
Narrowband rail response signal based on gained, a wheel polygonization index based on rail response signal feature
PI, such as following formula：
Wherein, wheel polygonization index PI is that rail response signal is corresponded in fixed order h on frequency band after pre-processing
The ratio between virtual value and rail response signal amplitude before pretreatment.
Embodiment five
A kind of terminal, the terminal include：Processor and strain transducer, the processor, for passing through described answer
Become the rail response signal under sensor acquisition wheel excitation；
The processor is additionally operable to extract signal characteristic on the basis of rail response signal is pretreated, and construction wheel is more
Side shape index identifies wheel polygonization failure using the wheel polygonization index of construction.
With reference to figure 9, Fig. 9 is the schematic block diagram for the terminal that the embodiment of the present invention five provides.The terminal as shown in the figure can be with
Including：One or more processors 901 (only show one) in figure；One or more input equipments 902 (only show one in figure
It is a), one or more output equipments 903 (one is only shown in figure), memory 904 and display 905.Above-mentioned processor 901,
Input equipment 902, output equipment 903, memory 904 and display 905 are connected by bus 906.Memory 902 is for storing
Instruction, processor 901 are used to execute the instruction of the storage of memory 902.
Wherein：Input equipment 902 sails the response that the wheel excitation through section generates rail for monitoring, and obtains wheel and swashs
Rail response signal under encouraging；
The processor 901 is for pre-processing the rail response signal under wheel excitation；
Signal characteristic is extracted on the basis of rail response signal is pretreated, constructs wheel polygonization index；
Using the wheel polygonization index of construction, wheel polygonization failure is identified.
Optionally, the processor 901 is additionally operable to identify peak value Ps and the peak value institute of single strain transducer acquisition signal
Sequence si, the j of N × 1, the sequence are collectively formed in each peak value or so side draw points (N-1)/2 with peak value by Pt at the time of corresponding
The flange of rail strain-responsive signal being classified as under collected j-th of the wheel excitation of i-th of strain transducer；
Wherein, (1, M) i ∈, M are strain transducer number in unilateral flange of rail strain transducer array, j ∈ (1, L), Ps and
Pt is 1 × L vectors, and L is the wheel logarithm of permutation EMU, and sequence length N is adjustable parameter.
Optionally, before the rail response signal under to wheel excitation pre-processes, the processor 901 is based on answering
It is disconnected by monitoring to calculate each wheel according to EMU wheelbase or sensor spacing for the temporal signatures for becoming Sensor monitoring data
Speed when face.
Optionally, the processor 901, for responding letter to the rail under the collected wheel excitation of each strain transducer
Number, carry out the pretreatment on elimination trend top.
Optionally, the processor 901, for rail response signal to be decomposed according to different frequency bands, each band center frequency
Rate is f (h),
Bound frequency fl(h) and fu(h) it is specially：
fl(h)=(h-0.5) v/ π D
fu(h)=(h+0.5) v/ π D
Wherein, v is speed, and h is fixed polygon order, and D is wheel diameter, in order to obtain frequency band (fl,fu) in steel
Rail response signal after pretreatment can be carried out bandpass filtering by rail response signal：
Y(k,fl,fu)=HkSk
S in formulakFor stThe discrete Fourier transform of (t=0,1 ..., n-1) is composed, stIt responds and believes for rail after pretreatment
Number, as S ', Y (k, fl,fu) composed for the DFT after bandpass filtering, HkFor filter function, HkSpecially：
Pass through inverse Fourier transform, frequency band (fl,fu) in narrowband rail response signal can be obtained by following formula：
Narrowband rail response signal based on gained, a wheel polygonization index based on rail response signal feature
PI, such as following formula：
Wherein, wheel polygonization index PI is that rail response signal is corresponded in fixed order h on frequency band after pre-processing
The ratio between virtual value and rail response signal amplitude before pretreatment.
It should be appreciated that in embodiments of the present invention, the processor 901 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), application-specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
It can also be any conventional processor etc. to manage device.
Input equipment 902 may include strain transducer, data receiver interface etc..Output equipment 903 may include display
Device (LCD etc.), loud speaker, data transmission interface etc..
The memory 904 may include read-only memory and random access memory, and to processor 901 provide instruction and
Data.The a part of of memory 904 can also include nonvolatile RAM.For example, memory 904 can also be deposited
Store up the information of device type.
Display 905 can be used for showing information input by user or the information etc. for being supplied to user.Display 905 can wrap
Display panel is included, optionally, liquid crystal display (Liquid Crystal Display, LCD), organic light-emitting diodes may be used
Forms such as (Organic Light-Emitting Diode, OLED) are managed to configure display panel.Further, the display
905 may also include touch panel, and the touch panel can cover display panel, when touch panel detects on it or nearby
After touch operation, processor 901 is sent to determine the type of touch event, is followed by subsequent processing class of the device 901 according to touch event
Type provides corresponding visual output on a display panel.
In the specific implementation, processor 901 described in the embodiment of the present invention, input equipment 902, output equipment 903, depositing
Reality described in the embodiment for the method that reservoir 904 and display 905 can perform information processing provided in an embodiment of the present invention
Existing mode also can perform the realization method described in terminal described in example IV, and details are not described herein.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each work(
Can unit, module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device are divided into different functional units or module, more than completion
The all or part of function of description.Each functional unit, module in embodiment can be integrated in a processing unit, also may be used
It, can also be above-mentioned integrated during two or more units are integrated in one unit to be that each unit physically exists alone
The form that hardware had both may be used in unit is realized, can also be realized in the form of SFU software functional unit.In addition, each function list
Member, the specific name of module are also only to facilitate mutually distinguish, the protection domain being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load can refer to the associated description of other embodiments.
Those of ordinary skill in the art may realize that lists described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, depends on the specific application and design constraint of technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device and method can pass through others
Mode is realized.For example, system embodiment described above is only schematical, for example, the division of the module or unit,
Only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can be with
In conjunction with or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling or direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING of device or unit or
Communication connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, the technical solution of the embodiment of the present invention
Substantially all or part of the part that contributes to existing technology or the technical solution can be with software product in other words
Form embody, which is stored in a storage medium, including some instructions use so that one
Computer equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute this hair
The all or part of step of bright each embodiment the method for embodiment.And storage medium above-mentioned includes：USB flash disk, mobile hard disk,
Read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic
The various media that can store program code such as dish or CD.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to aforementioned reality
Applying example, invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to aforementioned each
Technical solution recorded in embodiment is modified or equivalent replacement of some of the technical features；And these are changed
Or replace, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of recognition methods of high-speed EMUs wheel polygonization, which is characterized in that including：
Using the strain transducer of flange of rail longitudinal direction, the response that the wheel excitation through section generates rail is sailed by monitoring, is obtained
Rail response signal under wheel excitation；
Rail response signal under wheel excitation is pre-processed；
Signal characteristic is extracted on the basis of rail response signal is pretreated, constructs wheel polygonization index；
Using the wheel polygonization index of construction, wheel polygonization failure is identified；
Wherein, wheel polygonization index be after pretreatment rail response signal fixed order corresponds to virtual value on frequency band and
The ratio between original signal amplitude, original signal are the rail response signal before pretreatment, and fixed order is fixed polygon order.
2. the recognition methods of high-speed EMUs wheel polygonization as described in claim 1, which is characterized in that in the use
The strain transducer of flange of rail longitudinal direction sails the response that the wheel excitation through section generates rail by monitoring, obtains wheel excitation
Under rail response signal before, the recognition methods includes：
On the rail of left rail or right rail, strain transducer is laid along longitudinal direction, forms strain transducer array, to realize that covering is whole
The polygonization fault detect of a wheel tread circumference.
3. the recognition methods of high-speed EMUs wheel polygonization as described in claim 1, which is characterized in that the acquisition vehicle
Rail response signal under wheel excitation, specially：
Pt at the time of corresponding to the peak value Ps and peak value of single strain transducer acquisition signal is identified, in each peak value or so side draw point
Sequence si, the j of N × 1 are collectively formed with peak value for number (N-1)/2, which is the collected jth of i-th of strain transducer
Flange of rail strain-responsive signal under a wheel excitation；
Wherein, (1, M) i ∈, M are strain transducer number in unilateral flange of rail strain transducer array, and j ∈ (1, L), Ps and Pt are equal
For 1 × L vectors, L is the wheel logarithm of permutation EMU, and sequence length N is adjustable parameter.
4. the recognition methods of high-speed EMUs wheel polygonization as described in claim 1, which is characterized in that swash to wheel
Before rail response signal under encouraging is pre-processed, the recognition methods further includes：
Each wheel is calculated according to EMU wheelbase or sensor spacing based on the temporal signatures of strain transducer monitoring data
Pass through speed when monitoring section.
5. the recognition methods of high-speed EMUs wheel polygonization as described in claim 1, which is characterized in that described to wheel
Rail response signal under excitation is pre-processed, specially：
To the rail response signal under the collected wheel excitation of each strain transducer, the pretreatment on elimination trend top is carried out.
6. the recognition methods of the high-speed EMUs wheel polygonization as described in claim 1 to 5 is any, which is characterized in that institute
It states and extracts signal characteristic on the basis of rail response signal is pretreated, construct wheel polygonization index, specially：
Rail response signal to be decomposed according to different frequency bands, each mid-band frequency is f (h),
Bound frequency fl(h) and fu(h) it is specially：
fl(h)=(h-0.5) v/ π D
fu(h)=(h+0.5) v/ π D
Wherein, v is speed, and h is fixed polygon order, and D is wheel diameter, in order to obtain frequency band (fl,fu) in rail ring
Rail response signal after pretreatment can be carried out bandpass filtering by induction signal：
Y(k,fl,fu)=HkSk
S in formulakFor stThe discrete Fourier transform of (t=0,1 ..., n-1) is composed, stFor rail response signal after pretreatment, i.e.,
For S ', Y (k, fl,fu) composed for the DFT after bandpass filtering, HkFor filter function, HkSpecially：
Pass through inverse Fourier transform, frequency band (fl,fu) in narrowband rail response signal can be obtained by following formula：
Narrowband rail response signal based on gained, a wheel polygonization index PI based on rail response signal feature,
Such as following formula：
Wherein, wheel polygonization index PI be after pretreatment rail response signal corresponded in fixed order h it is effective on frequency band
The ratio between value and rail response signal amplitude before pretreatment.
7. a kind of identification device of high-speed EMUs wheel polygonization, which is characterized in that including：
Rail response signal acquisition module sails the wheel through section for the strain transducer using flange of rail longitudinal direction by monitoring
The response generated to rail is encouraged, the rail response signal under wheel excitation is obtained；
Signal pre-processing module, for being pre-processed to the rail response signal under wheel excitation；
Wheel polygonization index constructing module, for extracting signal characteristic, structure on the basis of rail response signal is pretreated
Make wheel polygonization index；
Fault identification module identifies wheel polygonization failure for the wheel polygonization index using construction；
Wherein, wheel polygonization index be after pretreatment rail response signal fixed order corresponds to virtual value on frequency band and
The ratio between original signal amplitude, original signal are the rail response signal before pretreatment, and fixed order is fixed polygon order.
8. the identification device of high-speed EMUs wheel polygonization as claimed in claim 7, which is characterized in that
The rail response signal acquisition module is specifically used for identifying the peak value Ps and peak value of single strain transducer acquisition signal
Sequence si, the j of N × 1 are collectively formed in each peak value or so side draw points (N-1)/2 with peak value by Pt at the time of corresponding, should
Sequence is the flange of rail strain-responsive signal under collected j-th of the wheel excitation of i-th of strain transducer；
Wherein, (1, M) i ∈, M are strain transducer number in unilateral flange of rail strain transducer array, and j ∈ (1, L), Ps and Pt are equal
For 1 × L vectors, L is the wheel logarithm of permutation EMU, and sequence length N is adjustable parameter；
The signal pre-processing module is specifically used for the rail response signal under the collected wheel excitation of each strain transducer,
Carry out the pretreatment on elimination trend top.
9. the identification device of high-speed EMUs wheel polygonization as claimed in claim 7, which is characterized in that the identification dress
It sets, further includes：
Speed calculation module is used for the temporal signatures based on strain transducer monitoring data, according to EMU wheelbase or sensor
Spacing calculates speed when each wheel passes through monitoring section.
10. the identification device of the high-speed EMUs wheel polygonization as described in claim 7 to 9 is any, which is characterized in that institute
Wheel polygonization index constructing module is stated to be specifically used for：
Rail response signal is decomposed according to different frequency bands, each mid-band frequency is f (h), bound frequency fl(h) and fu(h)
Specially：
fl(h)=(h-0.5) v/ π D
fu(h)=(h+0.5) v/ π D
Wherein, v is speed, and h is fixed polygon order, and D is wheel diameter, in order to obtain frequency band (fl,fu) in rail ring
Rail response signal after pretreatment can be carried out bandpass filtering by induction signal：
Y(k,fl,fu)=HkSk
S in formulakFor stThe discrete Fourier transform of (t=0,1 ..., n-1) is composed, stFor rail response signal after pretreatment, i.e.,
For S ', Y (k, fl,fu) composed for the DFT after bandpass filtering, HkFor filter function, HkSpecially：
Pass through inverse Fourier transform, frequency band (fl,fu) in narrowband rail response signal can be obtained by following formula：
Narrowband rail response signal based on gained, a wheel polygonization index PI based on rail response signal feature,
Such as following formula：
Wherein, wheel polygonization index PI be after pretreatment rail response signal corresponded in fixed order h it is effective on frequency band
The ratio between value and rail response signal amplitude before pretreatment.
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| CN111824207A (en) * | 2020-06-09 | 2020-10-27 | 华东交通大学 | Wheel out-of-roundness recognition method based on rail bottom strain |
| CN112381027A (en) * | 2020-11-23 | 2021-02-19 | 西南交通大学 | Wheel polygon wave depth estimation method based on train axle box vertical acceleration signal |
| CN112766043A (en) * | 2020-12-25 | 2021-05-07 | 北京安铁软件技术有限公司 | Train wheel polygon detection signal processing method and system |
| CN112766043B (en) * | 2020-12-25 | 2023-10-17 | 北京安铁软件技术有限公司 | Train wheel polygon detection signal processing method and system |
| CN112991577A (en) * | 2021-02-25 | 2021-06-18 | 成都运达科技股份有限公司 | Railway vehicle wheel polygon state diagnostic system |
| CN112991577B (en) * | 2021-02-25 | 2022-08-02 | 成都运达科技股份有限公司 | Railway vehicle wheel polygon state diagnostic system |
| CN113280747A (en) * | 2021-04-22 | 2021-08-20 | 杭州申昊科技股份有限公司 | System and method for judging rail safety based on fiber grating sensor |
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| CN114954562A (en) * | 2022-04-25 | 2022-08-30 | 中国国家铁路集团有限公司 | Low-order wheel polygon identification method and device |
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