CN114486304B - Rolling stock-based rotating part tracking method and device - Google Patents
Rolling stock-based rotating part tracking method and device Download PDFInfo
- Publication number
- CN114486304B CN114486304B CN202210114316.8A CN202210114316A CN114486304B CN 114486304 B CN114486304 B CN 114486304B CN 202210114316 A CN202210114316 A CN 202210114316A CN 114486304 B CN114486304 B CN 114486304B
- Authority
- CN
- China
- Prior art keywords
- vibration data
- rotating
- rolling stock
- equal
- angle
- 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.)
- Active
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 67
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000012952 Resampling Methods 0.000 claims abstract description 64
- 238000003860 storage Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 15
- 230000003137 locomotive effect Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 5
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 abstract description 15
- 238000012423 maintenance Methods 0.000 abstract description 9
- 238000010586 diagram Methods 0.000 description 9
- 238000005070 sampling Methods 0.000 description 8
- 238000006243 chemical reaction Methods 0.000 description 7
- 230000001360 synchronised effect Effects 0.000 description 7
- 230000000737 periodic effect Effects 0.000 description 5
- 238000012935 Averaging Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000002904 solvent Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/08—Railway vehicles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention provides a rolling stock-based rotating part tracking method and device, wherein the method comprises the following steps: performing equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data; intercepting equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result; and superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component. The invention can realize the order tracking of the rotating parts of the keyless railway rolling stock, and enable the automatic fault diagnosis and intelligent operation and maintenance of the rotating parts of the railway rolling stock which does not have the condition originally to be possible.
Description
Technical Field
The invention relates to the technical field of rail transit vehicle safety monitoring, in particular to a rolling stock-based rotating part tracking method and device.
Background
Fig. 1 is a schematic diagram of an amplitude frequency plot of a fast fourier analysis. FIG. 2 is a schematic diagram of an amplitude frequency plot of angle sampling and order analysis. As shown in fig. 1-2, the equiangular frequency conversion sampling and order tracking technology developed in the last 90 th century can avoid the phenomenon of frequency ambiguity in the conventional fast fourier analysis of the rotating component under variable rotation speed, and has become one of the indispensable important means in the fault diagnosis and analysis of the rotating component of the railway rolling stock, and is widely applied to the aspects of fault prediction and vehicle maintenance at present.
The key phase signal of the rotating shaft of the tested object is acquired by the order tracking technology. The Key phase is called a Key phase mark by arranging a groove or a convex Key on a tested shaft. When the groove or the convex key rotates to the position of the probe, corresponding to the change of the distance between the probe and the measured surface, the sensor generates a pulse signal, and the pulse signal is generated every time the shaft rotates, so that the generated time indicates the position of the shaft in every rotation period. The rotational speed of the shaft can thus be measured by counting pulses; by comparing the pulse with the vibration signal of the shaft, the phase angle of the vibration can be determined for dynamic balance analysis of the shaft, fault analysis and diagnosis of equipment and the like.
In the practical application in the railway rolling stock field, although more than half of railway rolling stock is provided with a shaft rotating speed key phase device, the device is mainly applied to the aspects of anti-skid devices, traction motor state measurement and the like, and the device can be directly used for obtaining rotating speed key phase signals by vibration detection and fault diagnosis equipment, so that the number of types of vehicles is small, and a large number of vibration detection and fault diagnosis equipment configured by 25 buses, CRH series harmonic motor trains and CR300/400 series compound motor trains cannot obtain the rotating speed key phase signals.
In recent years, many scholars have developed a lot of research work on how to perform order tracking under keyless conditions. According to the order tracking principle triggered by the traditional key phase hardware, how to obtain the rotation speed of the rotation shaft is one of the most core problems of the order tracking technology. The current solution generally adopts a time-frequency method or HHT (high-frequency transform) technology to acquire instantaneous frequency conversion (or frequency multiplication thereof), and then the keyless phase order tracking is completed through resampling. However, the time-frequency method has higher accuracy under the condition that the frequency components of the rotating speed are single, and the rotating speed estimation aiming at the complex vibration signal components such as railway rolling stock has larger fluctuation, so that the usability is not high; the HHT method, in turn, is currently not fully addressed by boundary effects, which have limitations in engineering applications.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a rolling stock-based rotating part tracking method and device, so as to track the order of the rotating part of a keyless railway rolling stock, and enable the automatic fault diagnosis and intelligent operation and maintenance of the rotating part of the rolling stock which does not have the condition originally to be possible.
In order to achieve the above object, an embodiment of the present invention provides a rolling stock-based rotating member tracking method, including:
performing equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data;
intercepting equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result;
and superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component.
The embodiment of the invention also provides a rolling stock-based rotating component tracking device, which comprises:
the resampling vibration data module is used for carrying out equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data;
the intercepting module is used for intercepting the equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result;
and the superposition module is used for superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor realizes the steps of the rolling stock-based rotating part tracking method when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program realizes the steps of the rolling stock-based rotating component tracking method when being executed by a processor.
According to the rolling stock-based rotating component tracking method and device, the equal angle resampling and the amplitude interpolation are firstly carried out on the local continuous rotating speed signal, then the equal angle resampling vibration data is intercepted according to the angle period of the rotating component, the multi-section intercepting result is obtained, the equal angle interval tracking signals of the rotating component are obtained through superposition, order tracking of the rotating component of the keyless phase rolling stock can be achieved, and automatic fault diagnosis and intelligent operation and maintenance of the rotating component of the rolling stock which does not originally have the condition become possible.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an amplitude frequency plot of a fast Fourier analysis;
FIG. 2 is a schematic diagram of an amplitude frequency plot of angle sampling and order analysis;
FIG. 3 is a flow chart of a rolling stock-based rotating component tracking method in an embodiment of the invention;
FIG. 4 is a flow chart of a method for obtaining a partial continuous rotation signal in accordance with an embodiment of the present invention;
FIG. 5 is a flow chart of generating frequency vibration data of a rotating component in an embodiment of the invention;
FIG. 6 is a schematic illustration of a wheel axle lateral shift energy ridge;
FIG. 7 is a schematic illustration of equal angular interval sampling in an embodiment of the present invention;
FIG. 8 is a block diagram of a rolling stock-based rotating component tracking device in an embodiment of the present invention;
fig. 9 is a block diagram of a computer device in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
In view of the low availability of the prior art and the limitations in engineering applications, the embodiment of the invention provides a rolling stock-based rotating component tracking method to constrain peak extraction intervals with full train operation speeds periodically transmitted in a train network, the accuracy and the usability of the rotating speed estimation are improved, and the order tracking of the rotating parts of the keyless phase railway rolling stock is realized by utilizing the processes of equal angular interval resampling based on local quadratic polynomial fitting, angle domain synchronous average noise reduction and the like. The present invention will be described in detail with reference to the accompanying drawings.
The invention discloses a method for tracking orders of rotating parts of a rolling stock of a keyless device railway, which comprises the following steps:
1) A rotational speed estimation based on interval constraint peak extraction;
2) Resampling at equal angular intervals based on a local quadratic polynomial fit;
3) Equal angle synchronous average noise reduction.
FIG. 3 is a flow chart of a rolling stock-based rotating component tracking method in an embodiment of the invention. As shown in fig. 3, the rolling stock-based rotating member tracking method includes:
s101: and performing equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data.
FIG. 4 is a flow chart of a method for obtaining a partial continuous rotation signal in an embodiment of the invention. As shown in fig. 4, obtaining the local continuous rotation speed signal includes:
s201: and determining a rotating speed interval according to the running speed of the locomotive and the wheel passing value interval.
In actual engineering application, according to different operation physical characteristics of a research object, harmonics with different orders are generally selected as estimation objects. For example, the rotational speed estimation of the wheel axle is usually multiplied by 1 of the rotational speed of transverse vibration due to the rolling motion characteristic of the railway rolling stock, and the rotational speed estimation of the gear box is usually multiplied by the engagement frequency (which can be regarded as the tooth number subharmonic of the rotation frequency) due to the gear engagement characteristic.
The instantaneous frequency of the multi-component vibration signal can be obtained by a time-frequency method. Fig. 6 is a schematic illustration of the axle transverse rotation energy ridge. As shown in fig. 6, the horizontal axis represents time in seconds, the vertical axis represents rotation speed in rpm; because the time-frequency distribution of the vibration signal has energy ridgeline in the local interval near the frequency conversion (or the harmonic wave thereof), and the whole train running speed periodically transmitted in the train network of 25-type passenger cars, CRH series harmonic motor train units, CR400 series complex motor train units and other car types can be converted simply as follows to obtain the rotating speed interval:
wherein h (i) is the rotation speed (rpm) of the ith section, v (i) is the running speed (km/h) of the ith rolling stock sent by the train network, D is a wheel diameter value interval (m), the upper limit of the wheel diameter value interval is a new wheel diameter value, and the lower limit is a scrapped wheel diameter value regulated by a repairing process.
The rotation speed interval [ h ] can be obtained by the formula min (i),h max (i)]Wherein h is min (i) Is the minimum value of h (i), h max (i) Is the maximum value of h (i).
S202: and carrying out peak value search on the frequency vibration data of the rotating component in the rotating speed interval to obtain a rotating speed array.
Fig. 5 is a flow chart of generating frequency vibration data of a rotating component in an embodiment of the invention. As shown in fig. 5, before executing S202, further includes:
s301: and (3) corresponding the time vibration data of the rotating component to the running speed of the rolling stock, and carrying out sliding interception on the corresponding result to obtain multi-section sliding time vibration data.
The vibration signal of the rotating member generally contains a frequency conversion component and each harmonic of the frequency conversion, as shown in the following formula:
wherein A is k (t) instant amplitude at time t of k-th harmonic, f k (t) the instant frequency at time t of the k-th harmonic, phi k The phase of the k harmonics is the system noise at time t. Due to the instantaneous frequency of each subharmonic of the rotating part and the frequency f converted at time t 1 And (t) the following linear proportional relation is satisfied:
f k ＝kf 1 ；
thus, the instantaneous rotational speed determination problem can be converted into an instantaneous frequency estimation problem of the kth harmonic.
In specific implementation, an ith rolling stock running speed v (i) (i=1, 2, and m) sent by a train network under the time corresponding to vibration signals x (t) and x (t) of a measured object t moment is collected, a proper window length is selected so that a speed sampling point corresponds to the measured object vibration signal, the vibration signal is slidingly intercepted based on a First In First Out (FIFO) principle (first in first out), and an ith section t is obtained o Time-of-day slip time vibration data x i (t o )。
S302: frequency vibration data of the rotating member is generated from the plurality of pieces of sliding time vibration data.
In particular, the vibration data x can be obtained for each sliding time i (t o ) And performing Fourier transformation to obtain frequency vibration data xi (f) of the ith section f frequency.
At the execution of S202, the time-frequency distribution of the vibration signal is subjected to constrained peak extraction based on the full train operation speed (rolling stock operation speed), and at this time, the peak corresponding frequency is the instantaneous frequency of the rotation speed. In particular, at [ n ] min (i),n max (i)]Inner pair x i (t o ) The peak search may be performed to obtain a rotation rate array.
S203: and carrying out partial quadratic polynomial fitting on the rotating speed array to obtain a partial continuous rotating speed signal.
The rotation speed signal can be obtained by performing partial quadratic polynomial fitting on three continuous rotation speed estimated values, and the following form is obtained:
f(t)＝at 2 +bt+c。
as shown in the above equation, a local quadratic polynomial fit is performed on every three consecutive rotational speed values of the rotational speed array to obtain a local continuous rotational speed signal.
In one embodiment, S101 includes:
resampling the local continuous rotation speed signal at equal angles to obtain a phase discrimination time scale; and carrying out amplitude interpolation on the time vibration data of the rotating component according to the phase detection time mark to obtain equal-angle resampling vibration data.
FIG. 7 is a schematic diagram of equal angular interval sampling in an embodiment of the present invention. As shown in fig. 7, let the sampling time be T 0- T k The resampling point number at equal angular intervals is N, and if the resampling is performed once after the angle delta theta is turned, the method comprises the following steps:
thereby obtaining the phase discrimination time scale T of the equiangular sampling of the j-th point j (j＝1,2,3,...,N)。
Where Δθ is the angular increment.
Obtaining all phase discrimination time marks T of delta theta j ( j =1, 2,3, where, N) after which the mixture is mixed with a solvent, and (5) carrying out amplitude interpolation on the time vibration data acquired at equal time intervals to obtain vibration data resampled at equal angles.
S102: and intercepting the equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result.
The time domain synchronous averaging method is one of effective methods for extracting periodic components from noise-containing vibration signals, and mainly realizes the retention and enhancement of the periodic components through the period cutting and homogenizing treatment of the time domain signals. Based on the mathematical idea of time domain synchronous averaging, the invention adopts the concept of angle domain synchronous averaging to carry out noise reduction treatment on the resampled vibration signal. The main idea of the angle domain synchronous averaging is that the process of extracting periodic signals related to frequency conversion (or harmonic waves thereof) from signals containing random noise can not only reduce system noise interference, but also inhibit vibration components which are not related to frequency conversion (so that the spectrum peak of the vibration components generates a dispersion phenomenon).
It is assumed that the angle domain signal x (θ) is composed of the sum of the periodic signals f (θ) and the noise signal n (θ), as follows:
x(θ)＝f(θ)+n(θ)；
the P-segment signal can be obtained by taking out the signal x (θ) (equal-angle resampling vibration data) with the angular period of the signal f (θ) (the angular period of the rotating member). The angular period of the signal f (θ) to be analyzed is selected differently (an integer is selected), for example, the phase period is selected to be not less than 10 for bearing failure diagnosis, and not less than 30 for wheel failure diagnosis.
S103: and superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component.
In the specific implementation, since the random noise signals are uncorrelated, the truncated P-segment signals are superimposed to obtain:
wherein x (θ) j ) For the j-th angle theta j Angle domain signal (equiangular interval tracking signal of rotating member), f (θ j ) For the j-th angle theta j Is a periodic signal of n (θ) j ) For the j-th angle theta j Is a noise signal of (a) a noise signal of (b).
The invention can further utilize traditional means such as Fourier transformation, order analysis and the like to realize fault diagnosis and health management of the monitored object. For example, for x (θ j ) Average to obtain output signal y (theta j )：
At this time, the noise in the output signal is that in the original input signal x (θ)Thus the signal to noise ratio is improved->Multiple times.
The main execution body of the rolling stock-based rotating member tracking method shown in fig. 3 may be a computer. As can be seen from the flow chart shown in fig. 3, the rolling stock-based rolling stock-tracking method according to the embodiment of the invention firstly performs equal-angle resampling and amplitude interpolation on the local continuous rotation speed signal, then intercepts the equal-angle resampling vibration data according to the angle period of the rolling stock, obtains a multi-section interception result to obtain the rolling stock-based equiangular interval tracking signal through superposition, and can realize order tracking of the rolling stock of the keyless railway rolling stock, so that the rolling stock without the condition originally has the automatic fault diagnosis and intelligent operation and maintenance of the rolling stock.
The specific flow of the embodiment of the invention is as follows:
1. and (3) corresponding the time vibration data of the rotating component to the running speed of the rolling stock, and carrying out sliding interception on the corresponding result to obtain multi-section sliding time vibration data.
2. Frequency vibration data of the rotating member is generated from the plurality of pieces of sliding time vibration data.
3. And determining a rotating speed interval according to the running speed of the locomotive and the wheel passing value interval.
4. And carrying out peak value search on the frequency vibration data of the rotating component in the rotating speed interval to obtain a rotating speed array.
5. And carrying out partial quadratic polynomial fitting on the rotating speed array to obtain a partial continuous rotating speed signal.
6. And performing equal-angle resampling on the local continuous rotating speed signal to obtain a phase-discrimination time scale, and performing amplitude interpolation on time vibration data of the rotating component according to the phase-discrimination time scale to obtain equal-angle resampled vibration data.
7. And intercepting the equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result.
8. And superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component.
In summary, the invention aims at the characteristics that the fault characteristic signals of rotating parts such as wheels, bearings and the like are not stable under the continuous change of the wheel rotating frequency, and the actual situation that part of vehicle types cannot provide wheel rotating speed key phase signal interfaces, utilizes the train running speed periodically transmitted in a train network to carry out constrained peak extraction on the instantaneous frequency of a vibration signal so as to realize rotating speed estimation, uses the obtained rotating speed to resample the vibration signal at equal angle intervals so as to eliminate the influence caused by the non-stable fault characteristic under the continuous change of the rotating frequency, and further eliminates the interference of the vibration signal and random noise which are not related to the rotating speed by carrying out angle domain synchronous average on the data after multi-segment resampling, so that the automatic fault diagnosis and intelligent operation and maintenance of the rotating parts of the railway locomotive which originally do not have the conditions become possible.
Based on the same inventive concept, the embodiment of the invention also provides a rolling stock-based rotating component tracking device, and because the principle of solving the problem of the device is similar to that of a rolling stock-based rotating component tracking method, the implementation of the device can be referred to the implementation of the method, and the repetition is omitted.
Fig. 8 is a block diagram of a rolling stock-based rotating member tracking device in an embodiment of the present invention. As shown in fig. 8, the rolling stock-based rotating member tracking device includes:
the resampling vibration data module is used for carrying out equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data;
the intercepting module is used for intercepting the equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result;
and the superposition module is used for superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component.
In one embodiment, the resampling vibration data module comprises:
the resampling unit is used for carrying out equal-angle resampling on the local continuous rotating speed signal to obtain a phase discrimination time mark;
and the amplitude interpolation unit is used for carrying out amplitude interpolation on the time vibration data of the rotating component according to the phase detection time scale to obtain equal-angle resampling vibration data.
In one embodiment, the method further comprises:
the rotating speed interval determining module is used for determining a rotating speed interval according to the running speed of the locomotive and the wheel passing value interval;
the rotating speed array module is used for carrying out peak value search on the frequency vibration data of the rotating component in the rotating speed interval to obtain a rotating speed array;
and the fitting module is used for carrying out partial quadratic polynomial fitting on the rotating speed array to obtain a partial continuous rotating speed signal.
In one embodiment, the method further comprises:
the sliding intercepting module is used for corresponding the time vibration data of the rotating component to the running speed of the rolling stock, and performing sliding interception on the corresponding result to obtain a plurality of pieces of sliding time vibration data;
and the frequency vibration data module is used for generating frequency vibration data of the rotating component according to the multi-section sliding time vibration data.
In summary, the rolling stock-based rotating component tracking device provided by the embodiment of the invention firstly carries out equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal, then intercepts the equal-angle resampling vibration data according to the angle period of the rotating component, obtains a multi-section interception result to obtain the equal-angle interval tracking signal of the rotating component through superposition, can realize order tracking of the rotating component of the keyless phase rolling stock, and enables automatic fault diagnosis and intelligent operation and maintenance of the rotating component of the rolling stock which does not originally have the condition to be possible.
The embodiment of the invention also provides a concrete implementation mode of the computer equipment capable of realizing all the steps in the rolling stock-based rotating part tracking method in the embodiment. Fig. 9 is a block diagram of a computer device in an embodiment of the present invention, and referring to fig. 9, the computer device specifically includes:
a processor (processor) 901 and a memory (memory) 902.
The processor 901 is configured to invoke a computer program in the memory 902, where the processor executes the computer program to implement all the steps in the rolling stock-based rotating member tracking method in the above embodiment, for example, the processor executes the computer program to implement the following steps:
performing equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data;
intercepting equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result;
and superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component.
In summary, the computer equipment of the embodiment of the invention firstly carries out equal angle resampling and amplitude interpolation on the local continuous rotating speed signal, then intercepts the equal angle resampling vibration data according to the angle period of the rotating component, obtains a multi-section interception result to obtain the equal angle interval tracking signal of the rotating component through superposition, can realize the order tracking of the rotating component of the keyless railway locomotive, and makes the automatic fault diagnosis and intelligent operation and maintenance of the rotating component of the railway locomotive which does not have the condition originally possible.
The embodiment of the present invention also provides a computer readable storage medium capable of implementing all the steps in the rolling stock-based rotating member tracking method in the above embodiment, the computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements all the steps in the rolling stock-based rotating member tracking method in the above embodiment, for example, the processor implements the following steps when executing the computer program:
performing equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data;
intercepting equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result;
and superposing the multi-section interception results to obtain the equiangular interval tracking signals of the rotating component.
In summary, the computer readable storage medium of the embodiment of the invention firstly carries out equal angle resampling and amplitude interpolation on the local continuous rotating speed signal, then intercepts the equal angle resampling vibration data according to the angle period of the rotating component, obtains a multi-section interception result to obtain an equal angle interval tracking signal of the rotating component through superposition, can realize order tracking of the rotating component of the keyless phase railway locomotive, and enables automatic fault diagnosis and intelligent operation and maintenance of the rotating component which does not originally have the condition railway locomotive to be possible.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Those of skill in the art will further appreciate that the various illustrative logical blocks (illustrative logical block), units, and steps described in connection with the embodiments of the invention may be implemented by electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components (illustrative components), elements, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design requirements of the overall system. Those skilled in the art may implement the described functionality in varying ways for each particular application, but such implementation is not to be understood as beyond the scope of the embodiments of the present invention.
The various illustrative logical blocks, or units, or devices described in the embodiments of the invention may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described. A general purpose processor may be a microprocessor, but in the alternative, the general purpose processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. In an example, a storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may reside in a user terminal. In the alternative, the processor and the storage medium may reside as distinct components in a user terminal.
In one or more exemplary designs, the above-described functions of embodiments of the present invention may be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, the functions may be stored on a computer-readable medium or transmitted as one or more instructions or code on the computer-readable medium. Computer readable media includes both computer storage media and communication media that facilitate transfer of computer programs from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, such computer-readable media may include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that may be used to carry or store program code in the form of instructions or data structures and other data structures that may be read by a general or special purpose computer, or a general or special purpose processor. Further, any connection is properly termed a computer-readable medium, e.g., if the software is transmitted from a website, server, or other remote source via a coaxial cable, fiber optic cable, twisted pair, digital Subscriber Line (DSL), or wireless such as infrared, radio, and microwave, and is also included in the definition of computer-readable medium. The disks (disks) and disks (disks) include compact disks, laser disks, optical disks, DVDs, floppy disks, and blu-ray discs where disks usually reproduce data magnetically, while disks usually reproduce data optically with lasers. Combinations of the above may also be included within the computer-readable media.
Claims (6)
1. A rolling stock-based rotating component tracking method, comprising:
performing equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data;
intercepting the equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result;
superposing the multi-section interception results to obtain equiangular interval tracking signals of the rotating component;
performing equal angle resampling and amplitude interpolation on the local continuous rotation speed signal to obtain equal angle resampling vibration data, wherein the obtaining of the equal angle resampling vibration data comprises the following steps:
resampling the local continuous rotation speed signal at equal angles to obtain a phase discrimination time scale;
performing amplitude interpolation on the time vibration data of the rotating component according to the phase discrimination time mark to obtain equal-angle resampling vibration data;
the rolling stock-based rotating component tracking method further comprises the following steps:
determining a rotating speed interval according to the running speed of the locomotive and the wheel passing value interval;
carrying out peak value search on frequency vibration data of the rotating component in the rotating speed interval to obtain a rotating speed array;
performing local quadratic polynomial fitting on the rotating speed array to obtain the local continuous rotating speed signal;
the rotation speed interval is obtained by the following formula:
the method comprises the steps of (a) setting h (i) as the rotation speed of an ith section, v (i) as the running speed of an ith rolling stock sent by a train network, and D as a wheel diameter value section, wherein the upper limit of the wheel diameter value section is a new wheel diameter value, and the lower limit of the wheel diameter value section is a scrapped wheel diameter value regulated by a repairing process.
2. The rolling stock-based rotating member tracking method of claim 1, further comprising:
corresponding the time vibration data of the rotating component to the running speed of the rolling stock, and carrying out sliding interception on the corresponding result to obtain multi-section sliding time vibration data;
frequency vibration data of the rotating member is generated from the plurality of pieces of sliding time vibration data.
3. A rolling stock-based rotating component tracking device, comprising:
the resampling vibration data module is used for carrying out equal-angle resampling and amplitude interpolation on the local continuous rotating speed signal to obtain equal-angle resampling vibration data;
the intercepting module is used for intercepting the equal-angle resampling vibration data according to the angle period of the rotating component to obtain a multi-section intercepting result;
the superposition module is used for superposing the multi-section interception results to obtain equiangular interval tracking signals of the rotating component;
the resampling vibration data module comprises:
the resampling unit is used for carrying out equal-angle resampling on the local continuous rotating speed signal to obtain a phase discrimination time mark;
the amplitude interpolation unit is used for carrying out amplitude interpolation on the time vibration data of the rotating component according to the phase discrimination time mark to obtain equal-angle resampling vibration data;
the rolling stock-based rotating member tracking device further includes:
the rotating speed interval determining module is used for determining a rotating speed interval according to the running speed of the locomotive and the wheel passing value interval;
the rotating speed array module is used for carrying out peak value search on the frequency vibration data of the rotating component in the rotating speed interval to obtain a rotating speed array;
the fitting module is used for carrying out partial quadratic polynomial fitting on the rotating speed array to obtain the partial continuous rotating speed signal;
the rotating speed interval determining module is specifically configured to: the rotation speed interval is obtained by the following formula:
the method comprises the steps of (a) setting h (i) as the rotation speed of an ith section, v (i) as the running speed of an ith rolling stock sent by a train network, and D as a wheel diameter value section, wherein the upper limit of the wheel diameter value section is a new wheel diameter value, and the lower limit of the wheel diameter value section is a scrapped wheel diameter value regulated by a repairing process.
4. The rolling stock-based rotating member tracking device of claim 3, further comprising:
the sliding intercepting module is used for corresponding the time vibration data of the rotating component and the running speed of the rolling stock, and performing sliding interception on the corresponding result to obtain a plurality of sections of sliding time vibration data;
and the frequency vibration data module is used for generating frequency vibration data of the rotating component according to the multi-section sliding time vibration data.
5. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the rolling stock-based rotating component tracking method of any one of claims 1 to 2 when the computer program is executed by the processor.
6. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of the rolling stock based rotating component tracking method of any one of claims 1 to 2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210114316.8A CN114486304B (en) | 2022-01-30 | 2022-01-30 | Rolling stock-based rotating part tracking method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210114316.8A CN114486304B (en) | 2022-01-30 | 2022-01-30 | Rolling stock-based rotating part tracking method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114486304A CN114486304A (en) | 2022-05-13 |
| CN114486304B true CN114486304B (en) | 2024-03-22 |
Family
ID=81478761
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210114316.8A Active CN114486304B (en) | 2022-01-30 | 2022-01-30 | Rolling stock-based rotating part tracking method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114486304B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2079826C1 (en) * | 1992-07-24 | 1997-05-20 | Московский энергетический институт (Технический университет) | Method of diagnostics of mechanisms with rotatory units |
| US6351714B1 (en) * | 1998-03-03 | 2002-02-26 | Entek Ird International Corporation | Order tracking signal sampling process |
| JP2007278894A (en) * | 2006-04-07 | 2007-10-25 | Nsk Ltd | Device and method for diagnosing abnormality |
| CN103336140A (en) * | 2013-06-20 | 2013-10-02 | 苏州大学 | Rotational speed estimation method and device based on gear meshing vibration |
| CN103499443A (en) * | 2013-09-12 | 2014-01-08 | 西安交通大学 | Gear failure keyless phase angle domain average computing order analysis method |
| CN104568444A (en) * | 2015-01-28 | 2015-04-29 | 北京邮电大学 | Method for extracting fault characteristic frequencies of train rolling bearings with variable rotational speeds |
| CN110617964A (en) * | 2019-07-29 | 2019-12-27 | 中国铁道科学研究院集团有限公司城市轨道交通中心 | Synchronous compression transformation order ratio analysis method for fault diagnosis of rolling bearing |
| CN110907162A (en) * | 2019-12-13 | 2020-03-24 | 北京天泽智云科技有限公司 | Rotating machinery fault feature extraction method without tachometer under variable rotating speed |
| CN113008581A (en) * | 2021-02-23 | 2021-06-22 | 成都轨道交通产业技术研究院有限公司 | Train wheel diameter difference detection and alarm diagnosis method based on motor shaft rotating speed and train speed |
-
2022
- 2022-01-30 CN CN202210114316.8A patent/CN114486304B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2079826C1 (en) * | 1992-07-24 | 1997-05-20 | Московский энергетический институт (Технический университет) | Method of diagnostics of mechanisms with rotatory units |
| US6351714B1 (en) * | 1998-03-03 | 2002-02-26 | Entek Ird International Corporation | Order tracking signal sampling process |
| JP2007278894A (en) * | 2006-04-07 | 2007-10-25 | Nsk Ltd | Device and method for diagnosing abnormality |
| CN103336140A (en) * | 2013-06-20 | 2013-10-02 | 苏州大学 | Rotational speed estimation method and device based on gear meshing vibration |
| CN103499443A (en) * | 2013-09-12 | 2014-01-08 | 西安交通大学 | Gear failure keyless phase angle domain average computing order analysis method |
| CN104568444A (en) * | 2015-01-28 | 2015-04-29 | 北京邮电大学 | Method for extracting fault characteristic frequencies of train rolling bearings with variable rotational speeds |
| CN110617964A (en) * | 2019-07-29 | 2019-12-27 | 中国铁道科学研究院集团有限公司城市轨道交通中心 | Synchronous compression transformation order ratio analysis method for fault diagnosis of rolling bearing |
| CN110907162A (en) * | 2019-12-13 | 2020-03-24 | 北京天泽智云科技有限公司 | Rotating machinery fault feature extraction method without tachometer under variable rotating speed |
| CN113008581A (en) * | 2021-02-23 | 2021-06-22 | 成都轨道交通产业技术研究院有限公司 | Train wheel diameter difference detection and alarm diagnosis method based on motor shaft rotating speed and train speed |
Non-Patent Citations (3)
| Title |
|---|
| Order Tracking Based on Robust Peak Search Instantaneous Frequency Estimation;Y Gao 等;《Journal of Physics: Conference Series》;20061231;全文 * |
| 基于同步压缩变换的阶比分析法在城市轨道交通车辆轴承故障诊断中的应用;王冰 等;《城市轨道交通研究》;20210731(第7期);全文 * |
| 基于角域同步平均的齿轮箱故障诊断;王志乐 等;《蚌埠学院学报》;摘要，正文第37页，图3 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114486304A (en) | 2022-05-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Scaling-basis chirplet transform | |
| Huang et al. | Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction | |
| CN103499443B (en) | A kind of gear distress is without key phase angular domain average computation order analysis method | |
| CN101846692B (en) | Rotating speed tracking and sampling method of variable speed mechanical fault diagnosis | |
| Rodopoulos et al. | A parametric approach for the estimation of the instantaneous speed of rotating machinery | |
| Chen et al. | Development of a novel online chatter monitoring system for flexible milling process | |
| Zhang et al. | The Doppler effect based acoustic source separation for a wayside train bearing monitoring system | |
| CN110530509B (en) | High-speed motor train unit axle box vibration dominant frequency prediction method based on maximum entropy spectrum analysis | |
| Yan et al. | Fault signature enhancement and skidding evaluation of rolling bearing based on estimating the phase of the impulse envelope signal | |
| Zhao et al. | Generalized demodulation transform for bearing fault diagnosis under nonstationary conditions and gear noise interferences | |
| Guo et al. | Envelope synchronous average scheme for multi-axis gear faults detection | |
| Liang et al. | Application of instantaneous rotational speed to detect gearbox faults based on double encoders | |
| CN108106838B (en) | Whole-period time domain regression and alarm method for mechanical fault precision diagnosis | |
| CN114486304B (en) | Rolling stock-based rotating part tracking method and device | |
| Shi et al. | An improved Viterbi algorithm for adaptive instantaneous angular speed estimation and its application into the machine fault diagnosis | |
| Wang et al. | A new DFT-based dynamic detection framework for polygonal wear state of railway wheel | |
| CN109163683B (en) | Method and device for diagnosing track corrugation diseases | |
| Yang et al. | Resampling Technique based Demodulation Analysis for Planet Bearing Cage Fault Diagnosis under Nonstationary Conditions | |
| CN104459186A (en) | Tachometer-free order-ratio analyzing method based on sparse segmentation fitting and integral approximation | |
| CN105133472B (en) | Road surface roughness measurement method and inertial detector | |
| Wan et al. | A fault diagnosis method for variable speed gearbox bearing based on SET improved multi-source ridge line | |
| JP3949634B2 (en) | Method and apparatus for measuring rotational vibration of rotating body | |
| Feng et al. | Filter realization of the time-domain average denoising method for a mechanical signal | |
| Mei et al. | Fault diagnosis of a gearbox based on the analysis of a fractional energy gathering band | |
| CN117109953B (en) | Sound and vibration collaborative diagnosis method, system, device and medium for train |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |