CN104931262A - Bearing fault diagnosis device used in cooperation with wheel set bearing running-in machine and diagnosis method thereof - Google Patents

Bearing fault diagnosis device used in cooperation with wheel set bearing running-in machine and diagnosis method thereof Download PDF

Info

Publication number
CN104931262A
CN104931262A CN201510284089.3A CN201510284089A CN104931262A CN 104931262 A CN104931262 A CN 104931262A CN 201510284089 A CN201510284089 A CN 201510284089A CN 104931262 A CN104931262 A CN 104931262A
Authority
CN
China
Prior art keywords
bearing
fault
signal
vibration
wheel set
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
Application number
CN201510284089.3A
Other languages
Chinese (zh)
Inventor
周毛毛
张益�
陈曦
李渊
袁高斌
姚剑博
张析
陈佳斌
周立玮
黄跃
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BEIJING CONTROL INFRARED TECHNOLOGY Co Ltd
Original Assignee
BEIJING CONTROL INFRARED TECHNOLOGY Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by BEIJING CONTROL INFRARED TECHNOLOGY Co Ltd filed Critical BEIJING CONTROL INFRARED TECHNOLOGY Co Ltd
Priority to CN201510284089.3A priority Critical patent/CN104931262A/en
Publication of CN104931262A publication Critical patent/CN104931262A/en
Pending legal-status Critical Current

Links

Landscapes

  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

The invention discloses a bearing fault diagnosis device used in cooperation with a wheel set bearing running-in machine and a diagnosis method thereof. The device comprises a wheel set bearing running-in machine assembly, a signal conditioning circuit, a bearing vibration diagnosis work station and vibration sensors. The vibration sensors acquire vibration signals of bearings and transmit the vibration signals to the signal conditioning circuit. The vibration signals are converted into electrical analog signals by the signal conditioning circuit to be inputted to the bearing vibration diagnosis work station to be processed and the fault type is judged. The diagnosis method comprises the following steps that 1. the wheel set bearing running-in machine assembly and the vibration sensors are installed; 2. the wheel set bearing running-in machine assembly drives vehicle wheels; 3. the vibration sensors acquire the signals and transmit the signals to the signal conditioning circuit and the bearing vibration diagnosis work station; and 4. comprehensive judgment is performed by the bearing vibration diagnosis work station via combination of a resonance envelope demodulation algorithm and a characteristic statistical parameter algorithm so that various faults of the bearings can be effectively judged and identified. Large number of bearings to be detected can be rapidly and accurately diagnosed by the method.

Description

A kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine and diagnostic method thereof
Technical field
The invention belongs to vehicle fault detection technical field, be specifically related to a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine and diagnostic method thereof.
Background technology
To take turns rolling bearing as the important mechanical part of railway freight-car, after breaking down, will directly affect the security of operation of lorry.Therefore, to the key content of the detection of Rolling Bearing Status rolling stock section of Shi Ge road bureau safety detection always.
Current domestic each rolling stock section is to the tentative diagnosis of bearing fault, and the main or experience of dependence operator, workman's handmade rotary bearing, people's ear distinguishes in bearing operation whether there is different sound, feels whether there is jam phenomenon in bearing operation on hand.This detection mode requires very high to the operating experience of workman and technical capability, needs just can reach higher accuracy rate through training for many years and practice.And this detection mode is not owing to having the examination criteria of precise quantification, testing result and workman duty at that time (mood, fatigue strength etc.) is directly related, result has certain subjectivity and randomness, and the bearing be easy to there is fault is failed to judge.
In prior art, domestic also have scholar's research to utilize faulty bearings sound characteristic to carry out fault diagnosis, adopts resonance and demodulation method and improving one's methods on this basis more.
Resonance and demodulation method major advantage is very responsive to the exfoliated bearing fault in local, and can peel off according to being judged by frequency the position occurred, and classifies to bearing fault.But resonance and demodulation method also has the shortcoming that cannot overcome, the method is only to Bearing inner locality weld defect control, and the defects such as the wearing and tearing of the dimensional mismatch of bearing, raceway, pit, oil starvation pass through frequency owing to not having corresponding defect, be difficult to utilize resonance and demodulation method to detect, therefore this kind of fault can be failed to judge as good bearings.According to the documentation requirements such as " railway freight-car section repaiies code ", " railway freight-car is without the general maintenance procedure of axle box rolling bearing ", if these faults reach C class defect and just should stop using and scrap process on bearing, the good bearings utilizing resonance and demodulation method to detect like this is likely to scrap the bearing of process; And acoustic signal collection is subject to ambient noise interference, particularly at noisy overhaul shop.
In sum, existing Bearing testing method is difficult to diagnose fast and accurately a large amount of bearing to be checked.
Summary of the invention
The object of the invention is to solve the problem, proposing a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine and diagnostic method thereof.
With a bearing fault diagnosing apparatus for wheel set bearing running-in machine coupling, comprise wheel set bearing running-in machine assembly, signal conditioning circuit, bear vibration diagnostic workstation and vibration transducer;
Wheel set bearing running-in machine assembly comprises 2 pairs of wheel set bearings and 4 running-in machines, and often pair of wheel set bearing includes 2 wheels, 2 bearings and 1 wheel shaft; Each running-in machine comprises 1 power wheel, 1 bearing outer ring geometrical clamp and 1 bearing outer ring and fixes holder;
2 wheel symmetries are fixed on wheel shaft both sides, each wheel are fixedly equipped with 1 power wheel.Wheel shaft both sides symmetrical fixed installation 2 bearings respectively of 2 lateral wheels, bearing outer ring geometrical clamp is fixed holder by bearing outer ring and is fixed on the ground, bearing outer ring geometrical clamp can automatic open-close, hold tightly and unclamp bearing outer ring, bearing outer ring is maintained static by wheel set bearing outer ring geometrical clamp, and bearing inner race follows wheel shaft and vehicle wheel rotation.
Vibration transducer has 4, being fixed on 4 bearing outer ring geometrical clamps, for gathering the vibration signal of bearing, and being transferred to signal conditioning circuit respectively by magnet sucking disc.
Signal conditioning circuit receives vibration signal and converts electrical simulations signal to, inputs to bear vibration diagnostic workstation after filtering after conditioning.
Bear vibration diagnostic workstation involving vibrations data acquisition card, bandpass digital filter, resonance envelope demodulation arbiter, characteristic parameter arbiter and synthetic determination system;
Vibration signals collecting card gathers electrical simulations signal, inputs bandpass digital filter after being converted into digital signal, obtains filtered signal and inputs to resonance envelope demodulation arbiter and characteristic parameter arbiter simultaneously;
Resonance envelope demodulation arbiter processes filtered signal, obtains the envelope frequency spectrum of signal, inputs to synthetic determination system; Characteristic parameter arbiter calculates the kurtosis factor of filtered signal, and sends into synthetic determination system.
Synthetic determination system arranges threshold value to kurtosis value, and judges whether to there is fault.
A Method for Bearing Fault Diagnosis with the coupling of wheel set bearing running-in machine, comprises the steps:
Step one, installation wheel set bearing running-in machine assembly, and fixedly mount vibration transducer;
Each wheel is fixedly equipped with 1 power wheel, each bearing outer ring is fixed holder and bearing outer ring geometrical clamp is housed, and is used for fixing the outer ring of bearing, and 4 vibration transducers are separately fixed on 4 bearing outer ring geometrical clamps by magnet sucking disc.
Step 2, utilize wheel set bearing running-in machine Component driver wheel;
Wheel set bearing running-in machine assembly drives wheel, wheel shaft High Rotation Speed by power wheel, and bearing outer ring is maintained static by bearing outer ring geometrical clamp, and bearing inner race follows wheel shaft and vehicle wheel rotation.
Step 3, vibration transducer gather bearing vibration signal, flow to signal conditioning circuit, generate electrical simulations signal and are delivered to bear vibration diagnostic workstation;
Step 4, bear vibration diagnostic workstation binding resonant envelope demodulation algorithm and characteristic statistics parametric algorithm synthetic determination, effectively judge to identify all kinds of fault of bearing.
Specifically comprise the steps:
Step 401, vibration signals collecting card gather electrical simulations signal, input bandpass digital filter after being converted into digital signal;
Digital signal is carried out filtering by step 402, bandpass digital filter, filtered signal is inputed to simultaneously resonance envelope demodulation arbiter and characteristic parameter arbiter;
Step 403, resonance envelope demodulation arbiter process filtered signal, obtain signal envelope waveform and carry out Fourier transform, obtain the envelope frequency spectrum of filtered signal, input to synthetic determination system.
Step 404, characteristic parameter arbiter calculate the kurtosis factor of filtered signal, and send into synthetic determination system.
Step 405, synthetic determination system arrange two threshold value A, B to kurtosis value, and carry out judging whether to there is fault, wherein threshold value A <B.
If when the kurtosis value of bearing is less than threshold value A, judge that bearing is intact.
If when the kurtosis value of bearing is between threshold value A to threshold value B, check bearing envelope frequency spectrum further, judge whether there is obvious spike in certain fault by frequency place, if existed, then determine bearing fault type by fault by frequency: if spike is roller stripping fault between 3-4, if spike is outer ring stripping fault between 8-10, if spike is inner ring between 10-13 peel off fault.Otherwise, assert bearing non-fault.
If when the kurtosis value of bearing is greater than threshold value B, assert bearing fault, judge bearing fault type according to bearing envelope frequency spectrum further simultaneously, if without obvious spike in envelope spectrum, then show that bearing is without exfoliated fault, fault type may be dimensional mismatch, raceway wearing and tearing, pit or oil starvation fault.Otherwise, be judged to be that roller peels off fault, inner ring peels off fault or fault is peeled off in outer ring according to spike position.
The invention has the advantages that:
(1) a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine of the present invention, this device is contact detection, and vibration transducer volume is little and install succinct, is particularly suitable for the bearing overhaul shop of work under bad environment.
(2) a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine of the present invention, is increase vibration signals collecting and analytical equipment on existing wheel set bearing running-in machine, can carries out vibration diagnosis to bearing multiple on wheel set bearing running-in machine simultaneously.
(3) a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine of the present invention, diagnoses, does not increase the working time of wheel set maintenance streamline while the work of wheel set bearing running-in machine.
(4) a kind of Method for Bearing Fault Diagnosis with the coupling of wheel set bearing running-in machine of the present invention, adopt resonance envelope demodulation method and characteristic statistics parametric method synthetic determination, all kinds of fault of effective judgement bearing, can diagnose the exfoliated fault of bearing, oil starvation fault, pit, the damage of scratch class etc.
(5) a kind of Method for Bearing Fault Diagnosis with the coupling of wheel set bearing running-in machine of the present invention, by gathering the vibration signal of rolling bearing, all kinds of faults of binding resonant envelope demodulation method and characteristic statistics parametric method comprehensive distinguishing bearing.
Accompanying drawing explanation
Fig. 1 is a kind of structured flowchart with the bearing fault diagnosing apparatus of wheel set bearing running-in machine coupling of the present invention;
Fig. 2 is wheel set bearing running-in machine assembly partial enlarged drawing of the present invention;
Fig. 3 is bear vibration diagnostic workstation partial enlarged drawing of the present invention;
Fig. 4 is a kind of process flow diagram with the Method for Bearing Fault Diagnosis of wheel set bearing running-in machine coupling of the present invention;
Fig. 5 is the process flow diagram that bear vibration diagnostic workstation of the present invention judges to identify all kinds of fault of bearing.
In figure:
1-wheel set bearing running-in machine assembly; 2-signal conditioning circuit; 3-bear vibration diagnostic workstation; 4-vibration transducer;
101-wheel; 102-power wheel; 103-bearing outer ring geometrical clamp; 104-bearing outer ring fixes holder; 105-bearing; 106-wheel shaft;
301-vibration signals collecting card; 302-bandpass digital filter; 303-resonance envelope demodulation arbiter; 304-characteristic parameter arbiter; 305-synthetic determination system;
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.
A kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine and diagnostic method thereof, by increasing bear vibration diagnostic workstation, vibration transducer and signal conditioning circuit equipment on existing freight car wheel set bearing break-in machine equipment, faulty bearings vibration performance is utilized to carry out fault diagnosis.The method combines the advantage of resonance envelope demodulation algorithm and characteristic statistics parametric algorithm, can diagnose accurately all kinds of most common failures of bearing.
With a bearing fault diagnosing apparatus for wheel set bearing running-in machine coupling, as shown in Figure 1, wheel set bearing running-in machine assembly 1, signal conditioning circuit 2, bear vibration diagnostic workstation 3 and vibration transducer 4 is comprised;
Wheel set bearing running-in machine assembly 1, as depicted in figs. 1 and 2, comprises 2 pairs of wheel set bearings and 4 running-in machines, and often pair of wheel set bearing includes 2 wheels, 101,2 bearings 105 and 1 wheel shaft 106; Each running-in machine comprises 1 power wheel, 102,1 bearing outer ring geometrical clamp 103 and 1 bearing outer ring fixes holder 104;
Wheel set bearing running-in machine assembly 1 drives 2 pairs of wheel set bearings simultaneously;
2 wheel 101 symmetries are fixed on wheel shaft 106 both sides, and simultaneously two bearings 105 are respectively on the symmetrical wheel shaft 106 be fixed on outside wheel 101.Each wheel 101 is fixedly equipped with 1 power wheel 102.Each bearing outer ring geometrical clamp 103 fixed by bearing outer ring holder 104 is fixed on bearing 105 outer ring on.
Be specially: bearing outer ring geometrical clamp 103 is fixed holder 107 by bearing outer ring and is fixed on mill floor, bearing outer ring geometrical clamp 103 can automatic open-close, hold tightly and unclamp bearing 105 outer ring, bearing 105 outer ring is maintained static by wheel set bearing outer ring geometrical clamp 103, and bearing inner race follows wheel shaft 106 and wheel 101 rotates.
Vibration transducer 4 has 4, is fixed on 4 bearing outer ring geometrical clamps 103 respectively by magnet sucking disc.
When equipment runs, power wheel 102 drives wheel 101 to drive wheel shaft 106 and bearing 105 inner ring to rotate with fixed rotating speed, bearing 105 outer ring held tightly by bearing outer ring geometrical clamp 103, with bearing 105 close contact, vibration transducer 104 gathers the vibration signal of corresponding bearing 105, through signal conditioning circuit 2, form electrical simulations signal and input to bear vibration diagnostic workstation 3;
The vibration signal of signal conditioning circuit 2 pairs of vibration transducers 4 receives and converts electrical signal to, inputs to bear vibration diagnostic workstation 3 after filtering after conditioning.
Bear vibration diagnostic workstation 3, as shown in Figure 3, involving vibrations data acquisition card 301, bandpass digital filter 302, resonance envelope demodulation arbiter 303, characteristic parameter arbiter 304 and synthetic determination system 305;
Wherein the passband of bandpass digital filter 302 is 8KHz to 20KHz;
The electrical simulations signal that vibration signals collecting card 301 collection signal modulate circuit 2 exports, inputs bandpass digital filter 302 after being converted into digital signal, obtain filtered signal and input to resonance envelope demodulation arbiter 303 and characteristic parameter arbiter 304 simultaneously;
Resonance envelope demodulation arbiter 303 pairs of filtered signal process, obtain the envelope waveform of filtered signal, Fourier transform is carried out to envelope waveform, obtain the envelope frequency spectrum of filtered signal, input to synthetic determination system 305, from envelope frequency spectrum, inquired about the characteristic frequency point of different faults type by frequency spectrum Discr..
Characteristic parameter arbiter 304 calculates the relevant kurtosis factor of filtered signal, and sends into synthetic determination system 305.
Synthetic determination system 305 pairs of kurtosis values arrange two threshold value A, B, and carry out judging whether to there is fault.Wherein threshold value A < threshold value B, the concrete value of threshold value A, threshold value B is added up by experimental result and is obtained.
With a Method for Bearing Fault Diagnosis for wheel set bearing running-in machine coupling, as shown in Figure 4, comprise the steps:
Step one, installation wheel set bearing running-in machine assembly, and fixedly mount vibration transducer;
Each wheel 101 is fixedly equipped with 1 power wheel 102, each bearing outer ring is fixed on holder 104 and bearing outer ring geometrical clamp 103 is housed, can be used to the outer ring of solid bearing 105,4 vibration transducers 4 are separately fixed on 4 bearing outer ring geometrical clamps 103 by magnet sucking disc.Bearing outer ring geometrical clamp 103 and bearing 105 outer ring close contact, vibration transducer 4 obtains vibration signal when bearing 105 rotates, by cable access signal conditioning circuit 2.
Step 2, utilize wheel set bearing running-in machine Component driver wheel;
Wheel set bearing running-in machine assembly 1 is driven wheel 101 by power wheel 102, is driven wheel shaft 106 and bearing 105 inner ring High Rotation Speed, and bearing 105 outer ring is maintained static by bearing outer ring geometrical clamp 103, and bearing 105 inner ring follows wheel shaft 106 and wheel 101 rotates.Wheel set bearing running-in machine assembly 1 drives the range of speeds of wheel 101 between 100 rpms to 1000 rpms.
Step 3, vibration transducer gather bearing vibration signal, flow to signal conditioning circuit, generate electrical simulations signal and are delivered to bear vibration diagnostic workstation;
Power wheel 102 Sports band motor car wheel 101, bearing 105 and wheel shaft 106 High Rotation Speed, vibration transducer 4 gathers the vibration signal of bearing 105, through signal conditioning circuit 2, generates electrical simulations signal, carry out amplifying, after filtering, export bear vibration diagnostic workstation 3 to.
Step 4, bear vibration diagnostic workstation binding resonant envelope demodulation algorithm and characteristic statistics parametric algorithm synthetic determination, effectively judge to identify all kinds of fault of bearing.
The electrical simulations signal that bear vibration diagnostic workstation 3 pairs of signal conditioning circuits 2 are carried gathers, form bear vibration digital signal, and digital signal is processed and analyzes, binding resonant envelope demodulation method and characteristic statistics parametric algorithm judge kurtosis factor integration, all kinds of fault of effective judgement bearing, comprise exfoliated fault, oil starvation fault, pit or the damage of scratch class etc.
Concrete steps as shown in Figure 5, comprise the steps:
Step 401, vibration signals collecting card gather electrical simulations signal, input bandpass digital filter after being converted into digital signal;
In order to eliminate the interference of environmental noise to fault-signal, filtering process being carried out to digital signal, excluding the interference signal and obtaining better signal to noise ratio (S/N ratio), digital signal is inputted bandpass digital filter 302 and obtain filtered signal.
Digital signal is carried out filtering by step 402, bandpass digital filter, filtered signal is inputed to simultaneously resonance envelope demodulation arbiter and characteristic parameter arbiter;
Step 403, resonance envelope demodulation arbiter process filtered signal, obtain signal envelope waveform and carry out Fourier transform, obtain the envelope frequency spectrum of filtered signal, input to synthetic determination system.
Filtered signal inputs to resonance envelope demodulation arbiter 303, resonance envelope demodulation arbiter 303 pairs of filtered signal carry out Hilbert transform and obtain signal envelope waveform, Fourier transform is carried out to envelope waveform, obtain the envelope frequency spectrum of filtered signal, input to synthetic determination system 305, obtain envelope waveform and can also adopt based on wavelet transformation, envelope picking up method based on mathematical morphology and rule-based average Shannon energy.
In envelope frequency spectrum, peel off according to being judged by frequency the position occurred, and bearing fault is classified.
Referred to by frequency, when Bearing inner workplace occurs peeling off defect, roller is at every turn by exciting the high-frequency resonance of bearing during rejected region.The resonance inspired has certain periodicity, has another name called the characteristic frequency of different faults type.
Exfoliated bearing fault is divided three classes: the exfoliated fault in outer ring, the exfoliated fault of inner ring and the exfoliated fault of roller.
The exfoliated fault in outer ring by frequency be:
f BPFO = n 2 ( 1 - BD PD cos &beta; ) f i
The exfoliated fault of inner ring by frequency be:
f BPFI = n 2 ( 1 + BD PD cos &beta; ) f i
The exfoliated fault of roller by frequency be:
f BSF = PD 2 BD ( 1 - ( BD BP cos &beta; ) 2 ) f i
In above formula, n is roller number, and BD is roller diameter, and PD is the mean value of bearing central diameter, inside and outside raceway diameter, and β is the contact angle of roller, f ifor the rotating speed of bearing.
The parameter of the freight car bearing of dissimilar, load-carrying is slightly different, but various fault is comparatively close by frequency, by frequency and f iratio between 3 to 4, be judged to be the exfoliated fault of roller; By frequency and f iratio between 8 to 10, be judged to be the exfoliated fault in outer ring; By frequency and f iratio between 10 to 13, be judged to be the exfoliated fault of inner ring;
Step 404, characteristic parameter arbiter calculate the kurtosis factor of filtered signal, and send into synthetic determination system.
Meanwhile, filtered signal inputs to characteristic parameter arbiter 304, and characteristic parameter arbiter 304 calculates the relevant kurtosis factor of filtered signal, inputs to synthetic determination system 305.
Kurtosis factor kurtosis is:
kurtosis = 1 N &Sigma; i = 1 N ( x [ i ] RMS ) 4 - 3
Wherein, RMS represents the effective value of input signal, x [i] is the signal value of input, and N is the sum of signal value.
Step 405, synthetic determination system arrange two threshold value A, B to kurtosis value, and carry out judging whether to there is fault, wherein threshold value A <B.
If when the kurtosis value of bearing is less than threshold value A, judge that bearing is intact.
If when the kurtosis value of bearing is between threshold value A to threshold value B, check the bearing envelope frequency spectrum that step 403 obtains further, judge whether there is obvious spike in certain fault by frequency place, if there is no, assert that bearing does not exist exfoliated fault, continue to use.Otherwise, judge that bearing fault is as exfoliated fault, and determine bearing fault type by fault by frequency:
If spike is roller stripping fault between 3-4, if spike is outer ring between 8-10 peel off fault, if spike is inner ring between 10-13 peel off fault.
If when the kurtosis value of bearing is greater than threshold value B, assert that bearing exists fault, judge bearing fault type according to bearing envelope frequency spectrum further simultaneously.If without obvious spike in envelope spectrum, then show that bearing is without exfoliated fault, fault type may be the faults such as dimensional mismatch, raceway wearing and tearing, pit or oil starvation.Otherwise, be judged to be that roller peels off fault, inner ring peels off fault or fault is peeled off in outer ring according to spike position.
The present invention proposes a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine and diagnostic method thereof, package unit is transformed on the basis of existing wheel set bearing running-in machine, utilize the mechanical realization of wheel set bearing running-in machine itself, do not change its original function, index, by increasing bearing vibration signal collection, analyzing software and hardware, realize the vibration diagnosis of bearing fault.Bearing vibration signal is after electrical signal through vibration transducer collection, digital signal is converted into by the data acquisition card collection on signal transacting workstation after amplification, filtering, the envelope demodulation of comprehensive utilization resonance afterwards algorithm, characteristic statistics parameter scheduling algorithm, through synthetic determination distinguish of system, all kinds of faults identifying bearing.

Claims (5)

1., with the bearing fault diagnosing apparatus of wheel set bearing running-in machine coupling, it is characterized in that: comprise wheel set bearing running-in machine assembly, signal conditioning circuit, bear vibration diagnostic workstation and vibration transducer;
Wheel set bearing running-in machine assembly comprises 2 pairs of wheel set bearings and 4 running-in machines, and often pair of wheel set bearing includes 2 wheels, 2 bearings and 1 wheel shaft; Each running-in machine comprises 1 power wheel, 1 bearing outer ring geometrical clamp and 1 bearing outer ring and fixes holder;
In often pair of wheel set bearing, 2 wheel symmetries are fixed on wheel shaft both sides, each wheel are fixedly equipped with 1 power wheel; Wheel shaft both sides symmetrical fixed installation 2 bearings respectively of 2 lateral wheels; Bearing outer ring geometrical clamp is fixed holder by bearing outer ring and is fixed on the ground, and bearing outer ring is maintained static by wheel set bearing outer ring geometrical clamp, and bearing inner race follows wheel shaft and vehicle wheel rotation;
Vibration transducer has 4, combining closely respectively, for gathering the vibration signal of bearing, and being transferred to signal conditioning circuit with 4 bearings;
Signal conditioning circuit receives vibration signal and converts electrical simulations signal to, inputs to bear vibration diagnostic workstation after filtering after conditioning;
Bear vibration diagnostic workstation involving vibrations data acquisition card, bandpass digital filter, resonance envelope demodulation arbiter, characteristic parameter arbiter and synthetic determination system;
Vibration signals collecting card gathers electrical simulations signal, inputs bandpass digital filter after being converted into digital signal, obtains filtered signal and inputs to resonance envelope demodulation arbiter and characteristic parameter arbiter simultaneously;
Resonance envelope demodulation arbiter processes filtered signal, obtains the envelope frequency spectrum of signal, inputs to synthetic determination system; Characteristic parameter arbiter calculates the kurtosis factor of filtered signal, and sends into synthetic determination system;
Synthetic determination system arranges threshold value to kurtosis value, and judges whether to there is fault.
2. a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine as claimed in claim 1, is characterized in that: described vibration transducer is separately fixed on 4 bearing outer ring geometrical clamps by magnet sucking disc.
3. a kind of bearing fault diagnosing apparatus with the coupling of wheel set bearing running-in machine as claimed in claim 2, is characterized in that: described bearing outer ring geometrical clamp can automatic open-close, holds tightly and unclamps bearing outer ring.
4. application rights requires the Method for Bearing Fault Diagnosis of a kind of and bearing fault diagnosing apparatus of wheel set bearing running-in machine coupling described in 1, it is characterized in that: comprise the steps:
Step one, installation wheel set bearing running-in machine assembly, and fixedly mount vibration transducer;
Step 2, utilize wheel set bearing running-in machine Component driver wheel;
Wheel set bearing running-in machine assembly drives wheel, wheel shaft High Rotation Speed by power wheel, and bearing outer ring is maintained static by bearing outer ring geometrical clamp, and bearing inner race follows wheel shaft and vehicle wheel rotation;
Step 3, vibration transducer gather bearing vibration signal, flow to signal conditioning circuit, generate electrical simulations signal and are delivered to bear vibration diagnostic workstation;
Step 4, bear vibration diagnostic workstation binding resonant envelope demodulation algorithm and characteristic statistics parametric algorithm synthetic determination, effectively judge to identify all kinds of fault of bearing;
Specifically comprise the steps:
Step 401, vibration signals collecting card gather electrical simulations signal, input bandpass digital filter after being converted into digital signal;
Digital signal is carried out filtering by step 402, bandpass digital filter, filtered signal is inputed to simultaneously resonance envelope demodulation arbiter and characteristic parameter arbiter;
Step 403, resonance envelope demodulation arbiter process filtered signal, obtain signal envelope waveform and carry out Fourier transform, obtain the envelope frequency spectrum of filtered signal, input to synthetic determination system;
Step 404, characteristic parameter arbiter calculate the kurtosis factor of filtered signal, and send into synthetic determination system;
Step 405, synthetic determination system arrange two threshold value A, B to kurtosis value, and carry out judging whether to there is fault, wherein threshold value A <B;
If when the kurtosis value of bearing is less than threshold value A, judge that bearing is intact;
If when the kurtosis value of bearing is between threshold value A to threshold value B, check bearing envelope frequency spectrum further, judge whether there is obvious spike in certain fault by frequency place, if existed, then determine bearing fault type by fault by frequency: otherwise, assert bearing non-fault;
If when the kurtosis value of bearing is greater than threshold value B, assert bearing fault, judge bearing fault type according to bearing envelope frequency spectrum further simultaneously, if without obvious spike in envelope spectrum, then show that bearing is without exfoliated fault, fault type is dimensional mismatch, raceway wearing and tearing, pit or oil starvation fault; Otherwise, be judged to be that roller peels off fault, inner ring peels off fault or fault is peeled off in outer ring according to spike position.
5. a kind of Method for Bearing Fault Diagnosis with the coupling of wheel set bearing running-in machine as claimed in claim 4, it is characterized in that: the fault type described in step 405 is: if spike is roller stripping fault between 3-4, if spike is outer ring stripping fault between 8-10, if spike is inner ring between 10-13 peel off fault.
CN201510284089.3A 2015-05-28 2015-05-28 Bearing fault diagnosis device used in cooperation with wheel set bearing running-in machine and diagnosis method thereof Pending CN104931262A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510284089.3A CN104931262A (en) 2015-05-28 2015-05-28 Bearing fault diagnosis device used in cooperation with wheel set bearing running-in machine and diagnosis method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510284089.3A CN104931262A (en) 2015-05-28 2015-05-28 Bearing fault diagnosis device used in cooperation with wheel set bearing running-in machine and diagnosis method thereof

Publications (1)

Publication Number Publication Date
CN104931262A true CN104931262A (en) 2015-09-23

Family

ID=54118535

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510284089.3A Pending CN104931262A (en) 2015-05-28 2015-05-28 Bearing fault diagnosis device used in cooperation with wheel set bearing running-in machine and diagnosis method thereof

Country Status (1)

Country Link
CN (1) CN104931262A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106596103A (en) * 2016-12-12 2017-04-26 北京海冬青机电设备有限公司 Bearing detection device for underfloor wheel lathe and bearing detection method
CN107036703A (en) * 2016-11-21 2017-08-11 四川达宇特种车辆制造厂 Vibration monitor system for engine high-temperature casing
CN111649944A (en) * 2019-03-04 2020-09-11 株式会社日立大厦系统 Bearing diagnosis device, bearing diagnosis method, and escalator
CN111801632A (en) * 2018-03-05 2020-10-20 日本电气株式会社 Diagnostic device, system, diagnostic method, and program
CN112082782A (en) * 2020-08-28 2020-12-15 中车南京浦镇车辆有限公司 Digital diagnosis system and method for faults of running gear of urban rail transit train
CN112098090A (en) * 2020-09-03 2020-12-18 中国铁道科学研究院集团有限公司金属及化学研究所 Intelligent detection system for bearing of railway wagon wheel set
RU2766130C1 (en) * 2020-08-20 2022-02-08 Федеральное государственное бюджетное учреждение науки Институт проблем управления им. В.А. Трапезникова Российской академии наук Method for diagnostics of bearings of rotary equipment based on the assessment of microvariations of rotation of the shaft

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5579013A (en) * 1994-05-05 1996-11-26 General Electric Company Mobile tracking unit capable of detecting defective conditions in railway vehicle wheels and railtracks
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
CN103969046A (en) * 2014-05-20 2014-08-06 北京康拓红外技术股份有限公司 Bearing acoustic diagnosis system and method used in combination with wheel set bearing running-in machine
CN104535323A (en) * 2015-01-12 2015-04-22 石家庄铁道大学 Locomotive wheelset bearing fault diagnosis method based on angular domain-time domain-frequency domain

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5579013A (en) * 1994-05-05 1996-11-26 General Electric Company Mobile tracking unit capable of detecting defective conditions in railway vehicle wheels and railtracks
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
CN103969046A (en) * 2014-05-20 2014-08-06 北京康拓红外技术股份有限公司 Bearing acoustic diagnosis system and method used in combination with wheel set bearing running-in machine
CN104535323A (en) * 2015-01-12 2015-04-22 石家庄铁道大学 Locomotive wheelset bearing fault diagnosis method based on angular domain-time domain-frequency domain

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张福学: "《1996/1997传感器与执行器大全》", 31 July 1997 *
杨晨等: "基于峭度与小波包络分析的滚动轴承故障诊断", 《机械制造》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107036703A (en) * 2016-11-21 2017-08-11 四川达宇特种车辆制造厂 Vibration monitor system for engine high-temperature casing
CN107036703B (en) * 2016-11-21 2019-05-10 四川航天中天动力装备有限责任公司 Vibration monitor system for engine high-temperature casing
CN106596103A (en) * 2016-12-12 2017-04-26 北京海冬青机电设备有限公司 Bearing detection device for underfloor wheel lathe and bearing detection method
CN106596103B (en) * 2016-12-12 2020-03-17 北京海冬青机电设备有限公司 Device for bearing detection on wheel-free lathe and bearing detection method
CN111801632A (en) * 2018-03-05 2020-10-20 日本电气株式会社 Diagnostic device, system, diagnostic method, and program
CN111649944A (en) * 2019-03-04 2020-09-11 株式会社日立大厦系统 Bearing diagnosis device, bearing diagnosis method, and escalator
RU2766130C1 (en) * 2020-08-20 2022-02-08 Федеральное государственное бюджетное учреждение науки Институт проблем управления им. В.А. Трапезникова Российской академии наук Method for diagnostics of bearings of rotary equipment based on the assessment of microvariations of rotation of the shaft
CN112082782A (en) * 2020-08-28 2020-12-15 中车南京浦镇车辆有限公司 Digital diagnosis system and method for faults of running gear of urban rail transit train
CN112098090A (en) * 2020-09-03 2020-12-18 中国铁道科学研究院集团有限公司金属及化学研究所 Intelligent detection system for bearing of railway wagon wheel set
CN112098090B (en) * 2020-09-03 2023-06-09 中国铁道科学研究院集团有限公司金属及化学研究所 Railway wagon wheel pair bearing intelligent detection system

Similar Documents

Publication Publication Date Title
CN104931262A (en) Bearing fault diagnosis device used in cooperation with wheel set bearing running-in machine and diagnosis method thereof
CN101354312B (en) Bearing failure diagnosis system
Guo et al. Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition
CN103969046B (en) A kind of bearing acoustics diagnose system and method for and the coupling of wheel set bearing running-in machine
CN104990709B (en) Method for detecting Locomotive Bearing failure
CN106441893B (en) Train rolling bearing fault vibrates differentiating method with impurity
Amini et al. Onboard detection of railway axle bearing defects using envelope analysis of high frequency acoustic emission signals
EP2522977B1 (en) Abnormality diagnosis device for rolling bearing, wind power generator, and abnormality diagnosis system
US11105712B2 (en) Integrated vibe/ODM fusion and trending analysis for prognostic health management of engine bearing
Bediaga et al. Ball bearing damage detection using traditional signal processing algorithms
Kim et al. Condition monitoring of low speed bearings: A comparative study of the ultrasound technique versus vibration measurements
Barbieri et al. Analysis of automotive gearbox faults using vibration signal
CN112991577B (en) Railway vehicle wheel polygon state diagnostic system
CN110044610A (en) Gear failure diagnosing method
CN109708872A (en) A kind of train gear-box shaft coupling method for diagnosing faults, apparatus and system
CN113776760B (en) Train wheel set out-of-round fault monitoring method and system based on whole-axis vibration analysis
CN101464211A (en) Method for monitoring low-speed heavy duty device status by vibration
CN209055845U (en) A kind of high-speed EMUs driving faults monitoring and fault diagnosis system
CN113988326A (en) Subway equipment maintenance optimization method and system
CN102798413B (en) A kind of railway dynamic detection system
Al-Atat et al. A systematic methodology for gearbox health assessment and fault classification
CN201965028U (en) Running-in test diagnostic system of metro vehicle traveling part
Boškoski et al. Bearing fault detection with application to PHM Data Challenge
CN115931399A (en) Method for real-time online detection of polygonal fault of high-speed train wheel
CN105651512A (en) Bump detection method of main speed-reducing gear of automobile driving axle

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20150923