CN110763989B - Method for predicting service life of relay of urban rail transit vehicle - Google Patents

Method for predicting service life of relay of urban rail transit vehicle Download PDF

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CN110763989B
CN110763989B CN201911039091.9A CN201911039091A CN110763989B CN 110763989 B CN110763989 B CN 110763989B CN 201911039091 A CN201911039091 A CN 201911039091A CN 110763989 B CN110763989 B CN 110763989B
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relay
rail transit
transit vehicle
urban rail
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CN110763989A (en
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赵华
贺青川
方骅
潘骏
吴启勇
吴聪聪
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Zhejiang Sci Tech University ZSTU
Hangzhou CRRC Vehicle Co Ltd
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Hangzhou CRRC Vehicle Co Ltd
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/327Testing of circuit interrupters, switches or circuit-breakers
    • G01R31/3277Testing of circuit interrupters, switches or circuit-breakers of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches
    • G01R31/3278Testing of circuit interrupters, switches or circuit-breakers of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches of relays, solenoids or reed switches

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Abstract

The application discloses a method for predicting the service life of an urban rail transit vehicle relay, which relates to the technical field of the rail transit vehicle relay and comprises the following steps: step 1: designing a prediction test scheme of the relay for the urban rail transit vehicle; step 2: performing a predictive test protocol; and step 3: calculating the test life of the relay for the urban rail transit vehicle according to the result of the prediction test scheme; and 4, step 4: and calculating the actual predicted service life of the relay for the urban rail transit vehicle through the test service life. The method has the advantage that the working life of the relay of the urban rail transit vehicle can be predicted in a short time by processing the performance parameter degradation data obtained in the acceleration test. Meanwhile, the method directly reflects the performance degradation process of the urban rail transit vehicle relay under the actual working condition, shortens the test time, and provides a technical method for remarkably improving the test efficiency for the prediction research of the working life of the urban rail transit vehicle relay.

Description

Method for predicting service life of relay of urban rail transit vehicle
Technical Field
The application relates to the technical field of relays for rail transit vehicles, in particular to a method for predicting the service life of an urban rail transit vehicle relay.
Background
The relay of the urban rail transit vehicle is an electromechanical product which realizes signal transmission and logic control of the subway vehicle by closing and opening contacts. The vehicle door state, the air brake state, the pantograph control, the driver station activation, the traction control and the like are all controlled by the relay.
In the working process of the relay of the urban rail transit vehicle, the failure of the relay is mainly caused by the fact that the performance of elastic elements such as a spring, a contact and the like is degraded along with the time, so that the contact resistance performance parameter of the relay exceeds an allowable range, and the relay cannot meet the working requirement. Because the relay plays an important role in the control circuit, the working state of the relay directly influences whether the urban rail transit vehicle runs safely or not. Therefore, the working life of the relay is predicted through tests, preventive replacement is carried out, the fault-free working time of the whole electric system can be prolonged, and the working efficiency is improved.
Chinese patent publication No. CN106154149A discloses a magnetic latching relay contact pressure detection and motion test device and a method for using the same. The device comprises a workbench, a control box arranged below the workbench, a power supply, a controller serving as a core control component and a measuring table arranged above the workbench, wherein a digital push-pull dynamometer, an electric trolley track and a limiting groove are horizontally arranged above the measuring table, and an adjustable measuring head is arranged at the front end of the digital push-pull dynamometer; an electric trolley is arranged on the electric trolley track; the workbench is also provided with a first connecting terminal and a second connecting terminal; the workbench is also provided with an electric box, and the electric box is provided with a touch screen, an alarm device and a main switch; the digital push-pull dynamometer, the electric trolley, the alarm device and the touch screen are all electrically connected with the controller.
When testing the relay life through using this testing arrangement, because part structure is complicated, and the test degree of difficulty is big, and then will prolong the life-span detection cycle of relay, waste time and energy, wait to improve.
Disclosure of Invention
In view of this, the present application aims to provide a method for predicting the service life of an urban rail transit vehicle relay, so as to achieve the purpose of shortening the service life evaluation test period of the urban rail transit vehicle relay. The specific scheme is as follows:
a method for predicting the service life of an urban rail transit vehicle relay comprises the following steps:
step 1: designing a prediction test scheme of the relay for the urban rail transit vehicle;
step 2: performing a predictive test protocol;
and step 3: calculating the test life of the relay for the urban rail transit vehicle according to the result of the prediction test scheme;
and 4, step 4: calculating the actual predicted service life of the relay for the urban rail transit vehicle through the test service life;
the predictive test protocol of step 1 includes a 1: installing a relay sample for the urban rail transit vehicle on a clamp, and fixing the clamp on a vibrating table; a 2: connecting a load according to an actual working circuit of the relay for the urban rail transit vehicle; a 3: two orders of magnitude G are selected1And G2In units of G, and G1<G2(ii) a a 4: control vibration table magnitude of G2And starting the vibration table, measuring and recording the contact resistance R of the relay on lineijI is 1,2, …, i represents relay contact number, j is 1,2, …, j represents measuring times, i and j are positive integers, and the vibration table is adjusted down to G1Continuously carrying out an online test for delta t hours; and similarly, alternately adjusting the magnitude of the vibration table and finishing the test after the test (j-1) is finished within delta t hours.
Preferably, the method further comprises the following steps: the random vibration quantity of the vibration table can be adjusted and controlled.
Preferably, the method further comprises the following steps: the step 3 comprises the following steps:
a 1: acquiring and integrating all contact resistors R obtained by the test in the step 2ijAnd are collectively recorded as phi,
Φ={Rij(j-1)Δt;i=1,2,...;j=1,2,...}
wherein: i is 1,2, …, i represents the relay contact number, j is 1,2, …, j represents the measuring times, and (j-1) delta t represents the accumulated test time corresponding to the ith pair of relay contacts in the jth measurement;
a 2: is provided withFixed failure threshold RfAnd the contact resistance of the relay increases by the formula:
Figure GDA0003404800000000021
wherein:
Figure GDA0003404800000000022
is a predicted value of the contact resistance of the ith pair, ai,biAnd ciPredicting model parameters for the ith pair of contact resistances, tfTest time for the experiment;
a 3: combined phi with
Figure GDA0003404800000000023
Obtaining ai,biAnd ciAn estimate of (d);
a 4: order to
Figure GDA0003404800000000024
And combining the life estimation value formula of the ith pair of contact resistance of the relay, namely:
Figure GDA0003404800000000025
obtaining an estimate of the lifetime of the contact resistance at the ith pair
Figure GDA0003404800000000026
Preferably, the method further comprises the following steps: the step 4 comprises the following steps:
a 1: calculating an acceleration factor AF by an acceleration factor AF formula, namely:
AF=(G1/G0)m
wherein G is0The vibration magnitude is the random vibration magnitude when the relay actually works, and m is an empirical constant;
a 2: calculating the random vibration magnitude G of the relay in actual operation0Lower life
Figure GDA0003404800000000031
Namely:
Figure GDA0003404800000000032
wherein,
Figure GDA0003404800000000033
for the i-th pair of estimated values of the life of the contact resistance obtained in step 3
Figure GDA0003404800000000034
Preferably, the method further comprises the following steps: and m is an empirical constant greater than 1 and less than 10.
According to the scheme, the method for predicting the service life of the relay of the urban rail transit vehicle is characterized in that the contact resistance R of the relay of the urban rail transit vehicle is used as a test index of degradation of the working performance of the relay, and random vibration is used as acceleration stress, so that the load of the relay is the same as the actual load; the stress of the accelerated test is close to the random vibration stress G in actual work1(ii) a Performance parameter test at G2Is carried out, and G2The highest random vibration stress which can be born by the proximity relay; the working life of the relay of the urban rail transit vehicle is predicted in a short time by processing the performance parameter degradation data obtained in the acceleration test. Meanwhile, the method directly reflects the performance degradation process of the urban rail transit vehicle relay under the actual working condition, shortens the test time, and provides a technical method for remarkably improving the test efficiency for the prediction research of the working life of the urban rail transit vehicle relay.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a block flow diagram of a prediction method disclosed herein.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely below, and it should be understood that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
A method for predicting the service life of an urban rail transit vehicle relay comprises the following steps:
step 1: installing a relay sample for the urban rail transit vehicle on a clamp, and fixing the clamp on a vibration table with adjustable and controllable random vibration quantity;
step 2: connecting a load according to an actual working circuit of the relay for the urban rail transit vehicle;
and step 3: selecting two magnitude G according to class I B random vibration spectrum type in GB/T21563-20181And G2In units of G, and G1<G2
And 4, step 4: control vibration table magnitude of G2And starting the vibration table, measuring and recording the contact resistance R of the relay on lineijI is 1,2, …, i represents relay contact number, j is 1,2, …, j represents measuring times, i and j are positive integers, and the vibration table is adjusted down to G1Continuously carrying out an online test for delta t hours; similarly, the magnitude of the vibration table is alternately adjusted, and the test is finished after (j-1) delta t hours;
and 5: acquiring and integrating all contact resistors R obtained by the test in the step 2ijAnd are collectively recorded as phi,
Φ={Rij(j-1)Δt;i=1,2,...;j=1,2,...}
wherein: i is 1,2, …, i represents the relay contact number, j is 1,2, …, j represents the measuring times, i and j are positive integers, and (j-1) delta t represents the accumulated test time corresponding to the j-th measurement of the ith pair of relay contacts;
step 6: setting a failure threshold RfAnd the contact resistance of the relay increases by the formula:
Figure GDA0003404800000000041
wherein:
Figure GDA0003404800000000042
is a predicted value of the contact resistance of the ith pair, ai,biAnd ciPredicting model parameters for the ith pair of contact resistances, tfTest time for the experiment;
and 7: combined phi with
Figure GDA0003404800000000043
Obtaining ai,biAnd ciAn estimate of (d);
and 8: order to
Figure GDA0003404800000000044
And combining the life estimation value formula of the ith pair of contact resistance of the relay, namely:
Figure GDA0003404800000000045
obtaining an estimate of the lifetime of the contact resistance at the ith pair
Figure GDA0003404800000000046
And step 9: calculating an acceleration factor AF by an acceleration factor AF formula, namely:
AF=(G1/G0)m
wherein G is0The magnitude of random vibration when the relay actually works is m, which is an empirical constant larger than 1 and smaller than 10;
step 10: calculating the random vibration magnitude G of the relay in actual operation0Lower life
Figure GDA0003404800000000047
Namely:
Figure GDA0003404800000000048
wherein,
Figure GDA0003404800000000049
for the i-th pair of estimated values of the life of the contact resistance obtained in step 3
Figure GDA00034048000000000410
Example one
A method for predicting the service life of an urban rail transit vehicle relay comprises the following steps:
step 1: installing a relay sample for the urban rail transit vehicle on a clamp, and fixing the clamp on a vibration table with adjustable and controllable random vibration quantity;
step 2: connecting a load according to an actual working circuit of the relay for the urban rail transit vehicle;
and step 3: selecting two magnitude G according to class I B random vibration spectrum type in GB/T21563-201810.2G and G2=0.7g;
And 4, step 4: control vibration table magnitude of G2And starting the vibration table, measuring and recording the contact resistance R of the relay on lineijI is 1,2, …,6, i represents relay contact number, j is 1,2, …,13, j represents measuring times, i and j are positive integers, and the vibration table is adjusted down to G1And continuously carrying out an online test for 2 hours; in the same way, the magnitude of the vibration table is adjusted alternately, and the test is finished after (j-1) delta t is (13-1) x 2h is 24 h;
and 5: acquiring and integrating all contact resistors R obtained by the test in the step 2ijAnd are collectively recorded as phi,
Φ={Rij(j-1)Δt;i=1,2,...;j=1,2,...}
wherein: i is 1,2, …,6, i represents the number of the relay contact, j is 1,2, …,13, j represents the number of times of measurement, i and j are positive integers, and (j-1) delta t represents the accumulated test time corresponding to the ith pair of the relay contacts in the jth measurement;
step 6: setting a failure threshold Rf3 Ω, and the increase formula of the contact resistance of the relay, namely:
Figure GDA0003404800000000051
wherein:
Figure GDA0003404800000000052
is a predicted value of the contact resistance of the ith pair, ai,biAnd ciPredicting model parameters for the ith pair of contact resistances, tfTest time for the experiment;
and 7: combined phi with
Figure GDA0003404800000000053
Obtaining ai,biAnd ciAs shown in table 1;
table 1: model parameter and failure time estimation value
Figure GDA0003404800000000054
And 8: order to
Figure GDA0003404800000000061
And combining the life estimation value formula of the ith pair of contact resistance of the relay, namely:
Figure GDA0003404800000000062
obtaining an estimate of the lifetime of the contact resistance at the ith pair
Figure GDA0003404800000000063
Then the relay of the model is in G1The life at 0.2g is
Figure GDA0003404800000000064
And step 9: calculating an acceleration factor AF by an acceleration factor AF formula, namely:
AF=(G1/G0)m
wherein G is0Is the random vibration magnitude G of the relay in actual operation0When m is 0.1 and m is 4, AF is (G)1/G0)m=(0.2/0.1)4=16;
Step 10: calculating the random vibration magnitude G of the relay in actual operation0Lower life
Figure GDA0003404800000000065
Namely:
Figure GDA0003404800000000066
wherein,
Figure GDA0003404800000000067
for the i-th pair of estimated values of the life of the contact resistance obtained in step 3
Figure GDA0003404800000000068
In conclusion, by the method, the contact resistance R of the relay of the urban rail transit vehicle is used as a test index of the degradation of the working performance of the relay, and the random vibration is used as the acceleration stress, so that the load of the relay is the same as the actual load; the stress of the accelerated test is close to the random vibration stress G in actual work1(ii) a Performance parameter test at G2Is carried out, and G2The highest random vibration stress which can be born by the proximity relay; the working life of the relay of the urban rail transit vehicle is predicted in a short time by processing the performance parameter degradation data obtained in the acceleration test. Meanwhile, the method directly reflects the performance degradation process of the urban rail transit vehicle relay under the actual working condition, effectively shortens the test time, and improvesThe efficiency of the test is increased.
References in this application to "first," "second," "third," "fourth," etc., if any, are intended to distinguish between similar elements and not necessarily to describe a particular order or sequence. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, or apparatus.
It should be noted that the descriptions in this application referring to "first", "second", etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
The principle and the implementation of the present application are explained herein by applying specific examples, and the above description of the embodiments is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (4)

1. A method for predicting the service life of an urban rail transit vehicle relay is characterized by comprising the following steps:
step 1: designing a prediction test scheme of the relay for the urban rail transit vehicle;
step 2: performing a predictive test protocol;
and step 3: calculating the test life of the relay for the urban rail transit vehicle according to the result of the prediction test scheme;
and 4, step 4: calculating the actual predicted service life of the relay for the urban rail transit vehicle through the test service life;
the prediction test scheme of the step 1 comprises
Figure 88818DEST_PATH_IMAGE001
: installing a relay sample for the urban rail transit vehicle on a clamp, and fixing the clamp on a vibrating table;
Figure 474800DEST_PATH_IMAGE002
: connecting a load according to an actual working circuit of the relay for the urban rail transit vehicle;
Figure 848012DEST_PATH_IMAGE003
: two orders of magnitude are selected
Figure 508801DEST_PATH_IMAGE004
And
Figure 792015DEST_PATH_IMAGE005
in units of g, and
Figure 942373DEST_PATH_IMAGE006
Figure 678248DEST_PATH_IMAGE007
: control the vibration table to have the magnitude of
Figure 142727DEST_PATH_IMAGE008
And starting the vibration table, measuring and recording the contact resistance of the relay contact on line
Figure 906546DEST_PATH_IMAGE009
Figure 103172DEST_PATH_IMAGE010
And 2, …, i denotes the relay contact number,
Figure 450977DEST_PATH_IMAGE011
2, …, j denotes the number of measurements, i and j are positive integers, the magnitude of the vibration table is adjusted down to
Figure 453568DEST_PATH_IMAGE012
And continue the on-line test
Figure 445795DEST_PATH_IMAGE013
Measuring and recording contact resistance of relay contact point
Figure 203535DEST_PATH_IMAGE014
(ii) a Similarly, the magnitude of the vibration table is alternately adjusted and tested
Figure 710740DEST_PATH_IMAGE015
Finishing after hours;
the step 3 comprises the following steps:
a 1: acquiring and integrating all contact resistors R obtained by the test in the step 2ijAnd is collectively recorded as
Figure 349313DEST_PATH_IMAGE016
Figure 258363DEST_PATH_IMAGE017
Wherein:
Figure 62371DEST_PATH_IMAGE018
and 2, …, i denotes the relay contact number,
Figure 119189DEST_PATH_IMAGE019
2, …, j denotes the number of measurements, i and j are positive integers,
Figure 666845DEST_PATH_IMAGE020
the accumulated test time corresponding to the ith pair of relay contacts in the jth measurement is represented;
a 2: setting a failure threshold
Figure 430401DEST_PATH_IMAGE021
And the contact resistance of the relay increases by the formula:
Figure 529944DEST_PATH_IMAGE022
wherein:
Figure 949424DEST_PATH_IMAGE023
for the predicted value of the contact resistance of the ith pair,
Figure 97509DEST_PATH_IMAGE024
Figure 777889DEST_PATH_IMAGE025
and
Figure 189279DEST_PATH_IMAGE026
for the ith pair of contact resistance prediction model parameters,
Figure 892793DEST_PATH_IMAGE027
test time for the experiment;
a 3: bonding of
Figure 142771DEST_PATH_IMAGE028
And
Figure 84182DEST_PATH_IMAGE029
to obtain
Figure 463210DEST_PATH_IMAGE030
Figure 716337DEST_PATH_IMAGE031
And
Figure 409487DEST_PATH_IMAGE032
an estimate of (d);
a 4: order to
Figure 736563DEST_PATH_IMAGE033
And combining the life estimation value formula of the ith pair of contact resistance of the relay, namely:
Figure 614389DEST_PATH_IMAGE034
obtaining an estimated value of the lifetime of the contact resistance at the i-th pair
Figure 230178DEST_PATH_IMAGE035
2. The method for predicting the service life of the urban rail transit vehicle relay according to claim 1, wherein the method comprises the following steps: the random vibration quantity of the vibration table can be adjusted and controlled.
3. The method for predicting the service life of the urban rail transit vehicle relay according to the claim 1, wherein the step 4 comprises the following steps:
a 1: calculating an acceleration factor AF by an acceleration factor AF formula, namely:
Figure 523756DEST_PATH_IMAGE036
wherein,
Figure 298814DEST_PATH_IMAGE037
the vibration magnitude is the random vibration magnitude when the relay actually works, and m is an empirical constant;
a 2: calculating the random vibration magnitude of the relay in actual operation
Figure 691749DEST_PATH_IMAGE038
Lower life
Figure 857152DEST_PATH_IMAGE039
Namely:
Figure 515273DEST_PATH_IMAGE040
wherein,
Figure 20203DEST_PATH_IMAGE041
for the i-th pair of estimated values of the life of the contact resistance obtained in step 3
Figure 646357DEST_PATH_IMAGE042
4. The method for predicting the service life of the urban rail transit vehicle relay according to claim 3, wherein the method comprises the following steps: and m is an empirical constant greater than 1 and less than 10.
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