CN105910824A - System for evaluating reliability of bogie rolling bearing based on offline state vibration characteristics - Google Patents
System for evaluating reliability of bogie rolling bearing based on offline state vibration characteristics Download PDFInfo
- Publication number
- CN105910824A CN105910824A CN201610477906.1A CN201610477906A CN105910824A CN 105910824 A CN105910824 A CN 105910824A CN 201610477906 A CN201610477906 A CN 201610477906A CN 105910824 A CN105910824 A CN 105910824A
- Authority
- CN
- China
- Prior art keywords
- tested vehicle
- reliability
- bearing
- vibration acceleration
- sensor
- 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.)
- Pending
Links
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
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
Abstract
The invention provides a system for evaluating reliability of a bogie rolling bearing based on offline state vibration characteristics. The system comprises a jacking device, friction wheels, a sensor, a data collector and a computer, wherein the jacking device is used for jacking wheel pairs of a tested vehicle when the tested vehicle is in an offline state, so that the wheels are separated from rails; the friction wheels are in drive connection with the wheel pairs of the tested vehicle and are used for driving the wheel pairs of the tested vehicle to rotate; the sensor is arranged on a bogie of the tested vehicle and is used for determining vibration acceleration signals of an axial bearing and a traction motor bearing; the data collector is connected with the sensor and collects the collected vibration acceleration signals; the computer is connected with the data collector; the computer builds a proportion-fault rate model by statistical characteristic values, of the vibration acceleration signals as response covariate and reliability and calculates the fault rate and the reliability of the bearing through the proportion-fault rate model.
Description
Technical field
The present invention relates to a kind of system evaluating bogie rolling bearing reliability based on off-line state vibration performance, belongs to railcar safety detection technology field.
Background technology
The critical component properly functioning as ensureing vehicle, bogie is applied not only to traction and guides vehicle to travel, and also plays a part transmission and relaxes the load from car body and circuit and impact.Axle box bearing is as one of urban rail transit vehicles bogie critical component, and the quality of its performance directly affects the running status of bogie or even vehicle.Simultaneously in vehicle operation, axle box bearing generally requires and bears huge load and track routes causes abnormal vibration and impact, be likely to result in bearing fatigue, wear and tear, the fault such as stripping, be one of parts being easiest to initiating failure on train.Faulty bearings is in operation and can produce periodically pulsing power, as found in time, causes the most at last firing axle, cutting the such catastrophe failure of axle, and therefore the reliability assessment of rail car axle box bearing is of great interest.Traction electric machine is the visual plant of vehicle drive system, and motor bearings is one of important composition parts of traction motor, it not only carries the weight of rotor, still suffers from pull strength, brake force and the most violent wheel-rail impact and additional load that poor gear engagement causes.At present, repeatedly there is main track bearing damage in part circuit traction electric machine, has had a strong impact on the safety in operation of vehicle.Therefore, in order to ensure that traction electric machine is highly reliable, the long-life is run, it is to avoid the generation of some major accidents, needs to carry out the assessment of rolling bearing reliability.Traditional Reliability assessment method, utilizes the substantial amounts of inefficacy sample with probability repeatability, to determine invalid cost type, thus obtains the average coherence of macroeconomic significance last consignment of same category of device general character.This reliability consideration method is mostly based on statistics and probability theory, and obtain is the overall reliability of equipment, and the reliability consideration to single parts is less.At present, signal acquisition method is divided into again off-line and online two kinds.When vehicle is online, the excitation produced due to Wheel Rail Contact and the impact of running environment, add the biggest difficulty to vibration signals collecting, on-line checking also exists operation maintenance amount greatly simultaneously, high in cost of production problem.
Summary of the invention
The problems referred to above existed for prior art, it is an object of the invention to provide a kind of low cost, high efficiency, high reliability, can evaluate the system of bogie rolling bearing reliability based on off-line state vibration performance.
For achieving the above object, the technical solution used in the present invention is as follows:
A kind of system evaluating bogie rolling bearing reliability based on off-line state vibration performance, including jacking apparatus, friction pulley, sensor, data acquisition unit and computer, described jacking apparatus is right for the wheel of jack-up tested vehicle under tested vehicle is in off-line state, makes wheel track separate；The wheel of described friction pulley and tested vehicle is to drive connection, for driving the wheel of tested vehicle to rotation；Described sensor is arranged on the bogie of tested vehicle, for measuring cod, the vibration acceleration signal of traction electric machine bearing；Described data acquisition unit is connected with described sensor, collects the vibration acceleration signal collected；Described computer is connected with described data acquisition unit, the statistical characteristic value of vibration acceleration signal is set up proportional hazards model as between response covariant and reliability by described computer, and passing ratio failure rate model calculates bearing fault rate and reliability.
As a kind of embodiment, described system also includes that signal conditioner, described signal conditioner are connected between described sensor and described data acquisition unit.
As a kind of embodiment, described sensor includes two single vibration acceleration transducers, it is arranged at bottom the axle box wall that the bearing outer ring with tested vehicle coordinates, two three-way vibration acceleration transducers, it is arranged at bottom former and later two bearing cases of motor of tested vehicle.
As a kind of embodiment, the wheel of described jacking apparatus jack-up tested vehicle is to more than 5mm.
Compared to prior art, the Advantageous Effects of the present invention is:
Use the system based on off-line state vibration performance evaluation bogie rolling bearing reliability that the present invention provides compared with prior art, there is advantages that
(1) present invention is by vehicle jacking apparatus, wheel track is made to separate, when the method efficiently avoid railcar on-line operation, Wheel Rail Contact excitation interference and the interference of other position vibration sources, reduce effect of noise, it is to avoid the problems such as during bearing on-line checking, cost is high, maintenance is big；Bearing reliability model is utilized measured data to be updated, trained, and more current testing stand data are the most accurate, reliable.
(2) it is different from traditional total reliability attribute, by calculating the individual reliability of bogie bearing, it is achieved bearing preventative maintenance targetedly.
It addition, the present invention is simple to operate, it is achieved low cost, facilitate popularization and application, therefore there is significance using value.
Accompanying drawing explanation
Fig. 1 is the operating diagram of jacking apparatus of the present invention and friction pulley；
Fig. 2 is the structural representation of a kind of system evaluating bogie rolling bearing reliability based on off-line state vibration performance that the present invention provides；
Fig. 3 is the workflow diagram of system of the present invention；
In figure, label is schematically as follows: 1-tested vehicle；101-wheel is right；2-jacking apparatus；3-friction pulley；4-motor；5-sensor；6-signal conditioner；7-data acquisition unit；8-computer.
Detailed description of the invention
Below in conjunction with accompanying drawing, technical scheme is described in further detail.
As depicted in figs. 1 and 2, a kind of system evaluating bogie rolling bearing reliability based on off-line state vibration performance that the present invention provides, including jacking apparatus 2, friction pulley 3, motor 4, some sensors 5, signal conditioner 6, data acquisition unit 7 and computer 8.
As it is shown on figure 3, the job step of the present invention is as follows:
When tested vehicle 1 is in off-line state, utilize the wheel of jacking apparatus 2 jack-up tested vehicle 1 to 101, make wheel track 101 be in wheel track released state, in the present embodiment, it is more than 5mm by the height to 101 of taking turns of jacking apparatus 2 jack-up tested vehicle 1, but the present invention is without limitation.The wheel of friction pulley 3 and tested vehicle 1 is to 101 drive connections, and motor 4 drives friction pulley 3 to rotate, thus drives the wheel of tested vehicle 1 to rotate 101.
Placement sensor 5.This test, on 1 bogie of tested vehicle 1, measures cod, traction electric machine bear vibration acceleration signal, and concrete scheme is as follows:
2 × axle box: bottom the axle box wall coordinated with bearing outer ring, single vibration acceleration transducer 2；
Motor bearings: bottom former and later two bearing cases of motor；Three-way vibration acceleration transducer 2.
The vibration acceleration signal that sensor 5 the collects conditioning by signal conditioner 6, input data acquisition unit 7, computer 8 is connected with data acquisition unit 7, by Digital Signal Analysis and Processing system and reliability evaluation systematic analysis bear vibration data, the statistical characteristic value of vibration acceleration signal is set up proportional hazards model as between response covariant and reliability, and calculate bearing fault rate and reliability by model, it is achieved status monitoring, the combination of Analysis of Running Reliability.
The present invention utilizes jacking apparatus 2 jack-up to take turns 101, wheel track is made to separate, friction pulley 3 driving wheel is used to rotate 101, the vibration acceleration signal that sensor 5 the collects conditioning by signal conditioner 6, input data acquisition unit 7, computer 8 is connected with data acquisition unit 7, proportional hazards model is set up as between response covariant and reliability by the vibration acceleration signal of Real-time Collection, it is updated by the vibration acceleration signal comparative example failure rate model of actual measurement, training, and calculate bearing fault rate and reliability by model, realize status monitoring, the combination of Analysis of Running Reliability, data are the most accurate, reliably, and by calculating the individual reliability of bogie bearing, realize bearing preventative maintenance targetedly.
The present invention is simple to operate, it is achieved low cost, facilitates popularization and application, therefore has significance using value.
Finally be necessary it is pointed out here that: the foregoing is only the present invention preferably detailed description of the invention; but protection scope of the present invention is not limited thereto; any those familiar with the art is in the technical scope that the invention discloses; the change that can readily occur in or replacement, all should contain within protection scope of the present invention.
Claims (4)
1. the system evaluating bogie rolling bearing reliability based on off-line state vibration performance, it is characterised in that: include
Jacking apparatus, friction pulley, sensor, data acquisition unit and computer, described jacking apparatus is at tested vehicle
Under off-line state, the wheel of jack-up tested vehicle is right, makes wheel track separate；The wheel of described friction pulley and tested vehicle to drive connection,
For driving the wheel of tested vehicle to rotation；Described sensor is arranged on the bogie of tested vehicle, is used for measuring axial axis
Hold, the vibration acceleration signal of traction electric machine bearing；Described data acquisition unit is connected with described sensor, and collection collects
Vibration acceleration signal；Described computer is connected with described data acquisition unit, and described computer is by vibration acceleration signal
Statistical characteristic value as response covariant and reliability between set up proportional hazards model, and passing ratio failure rate model
Calculate bearing fault rate and reliability.
System the most according to claim 1, it is characterised in that: also including signal conditioner, described signal conditioner is even
It is connected between described sensor and described data acquisition unit.
System the most according to claim 1, it is characterised in that: described sensor includes that two single vibration acceleration pass
Sensor, is arranged at bottom the axle box wall that the bearing outer ring with tested vehicle coordinates, two three-way vibration acceleration transducers, if
It is placed in bottom former and later two bearing cases of motor of tested vehicle.
System the most according to claim 1, it is characterised in that: the wheel of described jacking apparatus jack-up tested vehicle is to 5mm
Above.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610477906.1A CN105910824A (en) | 2016-06-27 | 2016-06-27 | System for evaluating reliability of bogie rolling bearing based on offline state vibration characteristics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610477906.1A CN105910824A (en) | 2016-06-27 | 2016-06-27 | System for evaluating reliability of bogie rolling bearing based on offline state vibration characteristics |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105910824A true CN105910824A (en) | 2016-08-31 |
Family
ID=56759614
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610477906.1A Pending CN105910824A (en) | 2016-06-27 | 2016-06-27 | System for evaluating reliability of bogie rolling bearing based on offline state vibration characteristics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105910824A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109827775A (en) * | 2019-03-12 | 2019-05-31 | 上海工程技术大学 | A method of prediction Aeroengine Ball Bearings remaining life |
| CN110006651A (en) * | 2019-04-01 | 2019-07-12 | 中车青岛四方机车车辆股份有限公司 | A kind of determining bearing life method and apparatus |
| CN111597651A (en) * | 2020-04-30 | 2020-08-28 | 上海工程技术大学 | Rolling bearing performance degradation evaluation method based on HWPSO-SVDD model |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2105685U (en) * | 1990-10-15 | 1992-05-27 | 航空航天工业部第六○八研究所 | Tester of rolling bearing of carriage wheel |
| JP2006275954A (en) * | 2005-03-30 | 2006-10-12 | Railway Technical Res Inst | Bearing-monitoring system, and bearing-monitoring program |
| CN101290265A (en) * | 2008-04-28 | 2008-10-22 | 洛阳铭昊测控科技有限公司 | Railway bearing intelligent on-line detection method and its device |
| CN201145638Y (en) * | 2008-01-24 | 2008-11-05 | 铜陵科达车辆装备有限责任公司 | Rollor bearing wearing machine for railway freight car wheel pair |
| CN102589881A (en) * | 2011-12-27 | 2012-07-18 | 马鞍山马钢华阳设备诊断工程有限公司 | Intelligent detection system of special metallurgical vehicle wheel set bearings |
| CN203490074U (en) * | 2013-10-26 | 2014-03-19 | 李光 | Bearing fault detection system for locomotive wheel set |
| CN104374573A (en) * | 2014-11-12 | 2015-02-25 | 江苏瑞铁轨道装备有限公司 | Railway wheel set bearing running-in machine driven by rubber tire friction wheels |
-
2016
- 2016-06-27 CN CN201610477906.1A patent/CN105910824A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2105685U (en) * | 1990-10-15 | 1992-05-27 | 航空航天工业部第六○八研究所 | Tester of rolling bearing of carriage wheel |
| JP2006275954A (en) * | 2005-03-30 | 2006-10-12 | Railway Technical Res Inst | Bearing-monitoring system, and bearing-monitoring program |
| CN201145638Y (en) * | 2008-01-24 | 2008-11-05 | 铜陵科达车辆装备有限责任公司 | Rollor bearing wearing machine for railway freight car wheel pair |
| CN101290265A (en) * | 2008-04-28 | 2008-10-22 | 洛阳铭昊测控科技有限公司 | Railway bearing intelligent on-line detection method and its device |
| CN102589881A (en) * | 2011-12-27 | 2012-07-18 | 马鞍山马钢华阳设备诊断工程有限公司 | Intelligent detection system of special metallurgical vehicle wheel set bearings |
| CN203490074U (en) * | 2013-10-26 | 2014-03-19 | 李光 | Bearing fault detection system for locomotive wheel set |
| CN104374573A (en) * | 2014-11-12 | 2015-02-25 | 江苏瑞铁轨道装备有限公司 | Railway wheel set bearing running-in machine driven by rubber tire friction wheels |
Non-Patent Citations (1)
| Title |
|---|
| 曲智进 等: "关于CRH1型动车组轮对轴箱轴承压装曲线的探讨", 《铁道车辆》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109827775A (en) * | 2019-03-12 | 2019-05-31 | 上海工程技术大学 | A method of prediction Aeroengine Ball Bearings remaining life |
| CN110006651A (en) * | 2019-04-01 | 2019-07-12 | 中车青岛四方机车车辆股份有限公司 | A kind of determining bearing life method and apparatus |
| CN110006651B (en) * | 2019-04-01 | 2020-08-28 | 中车青岛四方机车车辆股份有限公司 | Method and device for determining service life of bearing |
| CN111597651A (en) * | 2020-04-30 | 2020-08-28 | 上海工程技术大学 | Rolling bearing performance degradation evaluation method based on HWPSO-SVDD model |
| CN111597651B (en) * | 2020-04-30 | 2023-05-02 | 上海工程技术大学 | Rolling bearing performance degradation evaluation method based on HWPSO-SVDD model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108515984B (en) | Wheel damage detection method and device | |
| CN104990709B (en) | Method for detecting Locomotive Bearing failure | |
| CN103592122B (en) | Fault diagnosis device and method for urban rail transit train running gear | |
| CN105923014B (en) | A kind of track transition Amplitude Estimation method based on evidential reasoning rule | |
| CN111071291B (en) | Train wheel set monitoring system and train wheel set monitoring method | |
| CN105403420B (en) | A kind of bogie method for diagnosing faults for merging multisensor | |
| CN105910824A (en) | System for evaluating reliability of bogie rolling bearing based on offline state vibration characteristics | |
| CN112729817B (en) | Gearbox fault diagnosis method, system and test bed based on multi-source data fusion | |
| CN102798413B (en) | A kind of railway dynamic detection system | |
| CN113776760B (en) | Train wheel set out-of-round fault monitoring method and system based on whole-axis vibration analysis | |
| CN113008581A (en) | Train wheel diameter difference detection and alarm diagnosis method based on motor shaft rotating speed and train speed | |
| CN113465953B (en) | Fault prediction and health management device for motor train unit transmission system and using method thereof | |
| CN105181803A (en) | Vehicle-mounted wheel set flaw detection method and system | |
| CN201193981Y (en) | Intelligent on-line detection apparatus for railway bearing | |
| CN105501250B (en) | Railway wheelset flat sliding method for diagnosing faults based on vehicle-mounted detection apparatus | |
| CN204944857U (en) | A kind of wheel track fault detect testing table | |
| CN205748919U (en) | A kind of system evaluating bogie rolling bearing reliability | |
| CN211995617U (en) | Urban rail vehicle safety on-line detection system | |
| CN110595995B (en) | Method for measuring relation between adhesion coefficient and slip ratio under railway vehicle braking and test bed | |
| CN107515128A (en) | A kind of rail engineering automobile dynamic test system | |
| CN106644483A (en) | Bearing fault detection method and system for gear box | |
| CN106596103A (en) | Bearing detection device for underfloor wheel lathe and bearing detection method | |
| CN105784390A (en) | Freight car bogie instability/braking integrated test and control system and test method | |
| CN202885861U (en) | Dynamic detection system for railway | |
| CN211086051U (en) | Test bed for relation between adhesion coefficient and slip rate under braking of railway vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160831 |