CN110346144A - A kind of bearing fault detection device and detection method - Google Patents

A kind of bearing fault detection device and detection method Download PDF

Info

Publication number
CN110346144A
CN110346144A CN201910753928.XA CN201910753928A CN110346144A CN 110346144 A CN110346144 A CN 110346144A CN 201910753928 A CN201910753928 A CN 201910753928A CN 110346144 A CN110346144 A CN 110346144A
Authority
CN
China
Prior art keywords
bearing
laser
speed
bearing block
reducing
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
CN201910753928.XA
Other languages
Chinese (zh)
Inventor
黄贞
李栋宇
王小卉
李美琪
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.)
Lingnan Normal University
Original Assignee
Lingnan Normal University
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 Lingnan Normal University filed Critical Lingnan Normal University
Priority to CN201910753928.XA priority Critical patent/CN110346144A/en
Publication of CN110346144A publication Critical patent/CN110346144A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/04Bearings
    • G01M13/045Acoustic or vibration analysis

Abstract

The present invention relates to a kind of bearing fault detection devices, including workbench, DC speed-reducing device, bearing block, laser self-mixing interference device, equipment data acquisition analyzing and computer, the DC speed-reducing device, the bearing block and the laser self-mixing interference device are respectively provided on the workbench, bearing to be detected is installed on the bearing block, the DC speed-reducing device is connect with the bearing, the side of the bearing block is arranged in the laser self-mixing interference device, the laser self-mixing interference device is connect with the equipment data acquisition analyzing, the equipment data acquisition analyzing is connect with the computer.Bearing fault detection device of the invention has many advantages, such as to can be carried out non-contact measurement, easy to operate, strong antijamming capability, sensitivity is strong, measurement accuracy is high, use condition is loose and low in cost.

Description

A kind of bearing fault detection device and detection method
Technical field
The present invention relates to bearing failure diagnosis technical fields, and in particular to a kind of bearing fault detection device and detection side Method.
Background technique
Bearing be in contemporary mechanical equipment in a kind of important components and mechanical industry using extensively, require it is stringent Auxiliary equipment and basic part, be widely used in the every field of national economy and Defence business.Since bearing is in various machinery Rotary shaft or movable position play supporting role, so being also known as " mechanical joint ".Its major function is branch Mechanical rotary body is supportted, reduces the coefficient of friction in its motion process, and guarantee its rotating accuracy.
Whether bearing operates normally, have a great impact for performances such as the reliabilities, precision and service life of complete machine.According to The display of related statistics has nearly 30% failure to be caused by breaking down due to rolling bearing in rotating machinery fault rate, After applying to fault diagnosis technology in production, accident rate reduces nearly 70%, while reduced maintenance cost also has closely 40%, so carrying out timely and effectively event to bearing no matter in terms of safety in production or from the aspect of economic benefit Barrier diagnosis is all of great practical significance.
Mainly have for the method for diagnosing faults of bearing at present: oil analysis method passes through the lubrication oiliness of analysis bearing Energy information and wear particle information, thus judge the lubrication and state of wear of the bearing, but relatively due to its accuracy It is low, and the difficulty that wear metal particle is extracted from oil liquid is larger, thus its researching value and little;Noise measuring Method, the requirement to external environment is very high, is easy to the closed chamber by environmental noise and complexity other than detected target object Signal interference caused by interior acoustics conducts;Acoustic-emission, this method is also in exploratory stage early stage at present, although acoustic-emission It can be diagnosed to be bearing fault earlier, but the acquisition difficulty of acoustical signal is larger;Vibration detection method, at present vibration detection be mostly Workpiece is adjacent to using the acceleration transducer moment to acquire bearing vibration signal, and measured object total quality can be made to increase, from And change original vibration characteristics, and requirement when due to existing working sensor for installation site, so limiting it The accuracy of measurement and the popularity of application.
Summary of the invention
Difficult, signal processing complexity and essence are extracted in order to solve the method for diagnosing faults fault signature of above-mentioned existing bearing The not high problem of exactness, the present invention provides a kind of bearing fault detection device and detection methods, are able to carry out contactless inspection It surveys, it is easy to operate, extract the strong antijamming capability of fault signature, high sensitivity and measurement accuracy height.
In order to solve the above technical problems, the present invention the following technical schemes are provided:
A kind of bearing fault detection device, including workbench, DC speed-reducing device, bearing block, laser are dry from mixing Device, equipment data acquisition analyzing and computer are related to, the DC speed-reducing device, the bearing block and the laser are certainly Mixed interference device is respectively provided on the workbench, and bearing to be detected is equipped on the bearing block, and the direct current slows down Electric machine is connect with the bearing, and the side of the bearing block, the laser is arranged in the laser self-mixing interference device Self-mixed interference device is connect with the equipment data acquisition analyzing, and the equipment data acquisition analyzing is connect with the computer, The present invention overcomes traditional bearing method for diagnosing faults to depend on expertise unduly, fault signature extracts that difficult, signal processing is multiple The problems such as miscellaneous, measures the vibration of bearing using laser self-mixing interference device, collected vibration signal is passed through Fu In leaf transformation obtain rumble spectrum, vibration when due to bearing normal condition has periodically, i.e., where rumble spectrum characteristic peak Position has a regularity, and characteristic peak position and bearing revolving speed be at certain linear relationship, therefore data collection and analysis system Whether system can meet whether above-mentioned linear relationship and its have by judging the characteristic peak appearance position of bear vibration frequency spectrum Regularity has to directly be diagnosed to be bearing with the presence or absence of failure by rumble spectrum and can be carried out non-contact measurement, operation letter List, strong antijamming capability, sensitivity is strong, measurement accuracy is high, use condition is loose and it is low in cost the features such as.
Further, the laser self-mixing interference device includes laser, and the light source of the laser swashs for semiconductor Optical diode, the enclosed inside of the semiconductor laser diode have photoelectric detector PD and laser diode LD, can be improved Light source can convert optical signal into electric signal, preferably extraction fault signature, more easily control handle coherent signal.
Further, the light beam that the laser projects is radiated at the side of the bearing block radially, preferably detects The vibration that bearing block occurs.
Further, the DC speed-reducing device includes DC speed-reducing and electric machine speed regulation driver, described Electric machine speed regulation driver is connect with the DC speed-reducing, and the DC speed-reducing is connect with the bearing, can be more preferable The revolving speed of ground adjusting DC speed-reducing.
Further, the bearing passes through the output axis connection of connecting shaft and shaft coupling and the DC speed-reducing, even It connects more firm, can also preferably be driven.
Further, supporting pad is provided with below the bearing block, the workbench is optical platform, and it is unnecessary to reduce Vibration, reduce error, improve precision.
A kind of Bearing Fault Detection Method, comprising the following steps:
S1: bearing is fixed in bearing block;
S2: laser self-mixing interference device is adjusted, is obtained from mixed signal;
S3: opening DC speed-reducing, and bearing is rotated with the rotation of motor;
S4: the vibration of bearing is measured using laser self-mixing interference device, the vibration information of bearing passes through photoelectricity Diode PD is converted into electric signal;
S5: equipment data acquisition analyzing obtains the certainly mixed of bear vibration by the electric signal on acquisition photodiode PD Signal is closed, recycles fft analysis that should obtain the characteristic peak of bear vibration frequency spectrum from mixed signal frequency spectrum;
S6: equipment data acquisition analyzing pass through judge bear vibration frequency spectrum characteristic peak appearance position whether with revolving speed at line Sexual intercourse and its under fixed rotating speed whether have stability, to directly whether go out bearing by bear vibration spectrum diagnosing There are failures.
Further, in step s 4, the laser in laser self-mixing interference device issues beam of laser direct irradiation In bearing block side, part light after bearing block reflects in return laser light device inner cavity, and with the initial light in built in laser cavity into Row coupling, forms optical feedback effect, which causes the Output optical power of laser to change, since bearing block is with axis The vibration held and vibrate, i.e. the feedback light vibration information that includes bearing will contain leading to from mixing optical signal for bear vibration It crosses photodiode PD and is converted into electric signal, preferably extraction fault signature, more easily control handle coherent signal.
Compared with prior art, the invention has the following advantages:
The present invention overcomes traditional bearing method for diagnosing faults to depend on expertise unduly, fault signature extract it is difficult and The problems such as signal processing is complicated, with can be carried out, non-contact measurement, easy to operate, strong antijamming capability, sensitivity is strong, measures The features such as precision is high, use condition is loose and low in cost.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis Attached drawing obtains other attached drawings.
Fig. 1 is a kind of structural schematic diagram of bearing fault detection device of the present invention;
Fig. 2 is bearing block and the equivalent three mirror cavity model schematic of laser self-mixing interference system;
Fig. 3 is lossless bearing from mixing vibration signal graph;
The rumble spectrum figure of Fig. 4 is revolving speed when being 10.4rpm lossless bearing;
The rumble spectrum figure of Fig. 5 is revolving speed when being 13.0rpm lossless bearing;
Fig. 6 is motor speed and corresponding spectrum signature peak position relational graph;
Fig. 7 be revolving speed be 10.4rpm when faulty bearings rumble spectrum figure;
Fig. 8 be revolving speed be 13.0rpm when faulty bearings rumble spectrum figure.
In figure: 1, workbench;2, DC speed-reducing;3, electric machine speed regulation driver;4, bearing block;5, laser is dry from mixing Relate to device;6, equipment data acquisition analyzing;7, computer;8, bearing;9, shaft coupling.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects It encloses.
The embodiment of the present invention includes:
Embodiment one:
As shown in Figure 1, a kind of bearing fault detection device, including workbench 1, DC speed-reducing device, bearing block 4, Laser self-mixing interference device 5, equipment data acquisition analyzing 6 and computer 7, the DC speed-reducing device, the bearing Seat 4 and the laser self-mixing interference device 5 are arranged on the workbench 1, are equipped on the bearing block 4 to be detected Bearing 8, the DC speed-reducing device connect with the bearing 8, and the laser self-mixing interference device 5 is arranged described The side of bearing block 4, the laser self-mixing interference device 5 are connect with the equipment data acquisition analyzing 6, the data acquisition Analytical equipment 6 is connect with the computer 7, and the present invention overcomes traditional bearing method for diagnosing faults to depend on expertise, event unduly Hinder the problems such as feature extraction is difficult, signal processing is complicated, the vibration of bearing measured using laser self-mixing interference device, Collected vibration signal is obtained into rumble spectrum by Fourier transformation, vibration when due to bearing normal condition has the period Property, i.e. rumble spectrum characteristic peak position has regularity, and characteristic peak position and bearing revolving speed are at certain line Sexual intercourse, thus data acquisition and analysis system whether can be met by judging the characteristic peak appearance position of bear vibration frequency spectrum it is above-mentioned Linear relationship and its whether there is regularity, to directly be diagnosed to be bearing with the presence or absence of failure by rumble spectrum, there is energy Carry out non-contact measurement, easy to operate, strong antijamming capability, sensitivity is strong, measurement accuracy is high, use condition is loose and at The features such as this is cheap.
In the present embodiment, the laser self-mixing interference device 5 includes laser, and the light source of the laser is partly to lead Volumetric laser diode, the enclosed inside of the semiconductor laser diode have photoelectric detector PD and laser diode LD, can be with Light source is improved, electric signal can be converted optical signal into, preferably extraction fault signature, more easily control handles coherent signal.
In the present embodiment, the light beam that the laser projects is radiated at the side of the bearing block 4 radially, preferably Detect the vibration that bearing block 4 occurs.
As shown in Figure 1, the DC speed-reducing device includes DC speed-reducing 2 and electric machine speed regulation driver 3, institute It states electric machine speed regulation driver 3 to connect with the DC speed-reducing 2, the DC speed-reducing 2 is connect with the bearing 8, can Preferably to adjust the revolving speed of DC speed-reducing 2.
As shown in Figure 1, the bearing 8 is connected by connecting shaft and shaft coupling 9 and the output shaft of the DC speed-reducing 2 It connects, connection is more firm, can also preferably be driven.
In the present embodiment, the lower section of the bearing block 4 is provided with supporting pad, and the workbench 1 is optical platform, reduces Unnecessary vibration reduces error, improves precision.
A kind of Bearing Fault Detection Method, comprising the following steps:
S1: bearing is fixed in bearing block;
S2: laser self-mixing interference device is adjusted, is obtained from mixed signal;
S3: opening DC speed-reducing, and bearing is rotated with the rotation of motor;
S4: the vibration of bearing is measured using laser self-mixing interference device, the vibration information of bearing passes through photoelectricity Diode PD is converted into electric signal;
S5: equipment data acquisition analyzing obtains the certainly mixed of bear vibration by the electric signal on acquisition photodiode PD Signal is closed, recycles fft analysis that should obtain the characteristic peak of bear vibration frequency spectrum from mixed signal frequency spectrum;
S6: equipment data acquisition analyzing pass through judge bear vibration frequency spectrum characteristic peak appearance position whether with revolving speed at line Sexual intercourse and its under fixed rotating speed whether have stability, to directly whether go out bearing by bear vibration spectrum diagnosing There are failures.
In the present embodiment, in step s 4, it is direct to issue beam of laser for the laser in laser self-mixing interference device Be radiated at bearing block side, part light after bearing block reflects in return laser light device inner cavity, and with it is initial in built in laser cavity Light is coupled, and optical feedback effect is formed, which causes the Output optical power of laser to change, due to bearing block be with The vibration of bearing and vibrate, i.e. the feedback light vibration information that includes bearing will contain believing from mixed light for bear vibration Number electric signal is converted by photodiode PD, preferably extraction fault signature, more easily control handles coherent signal.
Embodiment two:
The present embodiment is similar with embodiment one, and difference is that the present embodiment is on the basis of example 1 to lossless Bearing and faulty bearings are verified, and are mainly comprised the steps that
Step 1: lossless bearing is fixed in bearing block;
Step 2: laser self-mixing interference device is adjusted, is obtained from mixed signal;
Step 3: opening DC speed-reducing, and lossless bearing is rotated with the rotation of DC speed-reducing, adjusts direct current Decelerating motor revolving speed makes it increase to 22.1rpm by 1.3rpm;
Step 4: measuring the vibration of lossless bearing using laser self-mixing interference device, and bearing block and laser are certainly The equivalent three mirror cavity model of mixed interference device is as shown in Fig. 2, M1、M2It is two of laser in laser self-mixing interference device End face, M3For bearing block side, M1 M2Constitute built in laser cavity, M2 M3It is then laser external cavity, incipient beam of light is from M1It sets out, shines It is mapped to M2After be divided into l1、l2Two-beam, wherein l1By M2Reflection, in M1 M2Between round trip, and l2Then penetrate M2And by M3Reflection Afterwards in M2 M3Round trip returns to inner cavity, and with the optical coupling in inner cavity, then l1、l2Two-beam is in M1Place's superposition, finally by light Electric diode PD acquisition, as bearing block side M3When being vibrated with the vibration of lossless bearing, M2With M3Distance can become Change, and then will lead to the change of feedback light phase, and then laser output power is caused to change;
The phase equation of laser self-mixing interference system is as follows:
x0(t)=xF(t)+Csin(xF(t)+arctan α) formula (1)
In upper two formula: D (t) is the distance between laser and target surface, x0(t) when being unglazed feedback exocoel phase Position, xF(t) be exocoel when having light feedback phase,0(t) be unglazed feedback when optical wavelength,FIt (t) is light wave when having a light feedback Long, C is light feedback factor, and α is that the line width of laser opens up the factor;
Laser output power are as follows:
P=P0(1+mcos(xF(t))) formula (3)
P in formula (3)0Optical power when for unglazed feedback, m are laser modulation coefficient, generally take 10-3
By formula (2) and (3) it is found that when the distance between laser and target surface D (t) change, unglazed feedback When exocoel phase x0(t) the phase x of exocoel when can also change therewith, and then make to have light feedbackF(t) it changes, finally leads Laser output power P is caused to fluctuate, the voltage at the both ends photodiode PD just carries the vibration information of target at this time, i.e., The vibration information of target is successfully converted into electric signal, and the vibration information of target can be obtained by acquiring the electric signal;
When measurement, laser in laser self-mixing interference device issues beam of laser direct irradiation in bearing block side, Part light is coupled, shape with the initial light in built in laser cavity after bearing block offside reflection in return laser light device inner cavity At optical feedback effect, which causes the Output optical power of laser to change, since bearing block is with lossless bearing Vibration and vibrate, i.e. the feedback light vibration information that includes lossless bearing, therefore the vibration signal of lossless bearing is converted into electricity Signal is transmitted to equipment data acquisition analyzing;
Step 5: equipment data acquisition analyzing obtains lossless bearing vibration by the voltage at the acquisition both ends photodiode PD It moves from mixed signal as shown in figure 3, recycling FFT to obtain lossless bear vibration frequency spectrum as shown in Figure 4, to obtain lossless axis Hold the spectrum signature peak of vibration;
Step 6: equipment data acquisition analyzing by statistics obtain the characteristic peak appearance position of lossless bear vibration frequency spectrum with The relationship of revolving speed, since bearing is mainly made of outer ring, inner ring and rolling element, when lossless bearing is fixed in bearing block, Its outer ring and bearing block are connected with each other, and inner ring is then directly connected with connecting shaft, and as connecting shaft rotates together, according to bearing The characteristic of itself can determine whether that the vibration of lossless bearing at runtime has periodically with regularity, this is in lossless bear vibration frequency Spectrum then show as characteristic peak appearance position stablize, with the quickening of motor speed, lossless bearing revolving speed also can with quickening, therefore Its vibration period, T can shorten therewith, due to:
So frequency f will increase with the increase of revolving speed, i.e. the position in lossless bear vibration frequency spectrum where characteristic peak Setting will be mobile toward the high direction of frequency with the increase of revolving speed;
As shown in fig. 6, DC speed-reducing revolving speed and spectrum signature peak position have good linear relationship, its line is exported Sexual intercourse:
F=18.793V+104.29 formula (5)
In above formula: F is spectrum signature peak frequency, and V is revolving speed;
As shown in Figure 4 and Figure 5, the position that its characteristic peak of the rumble spectrum figure of lossless bearing occurs is more stable, and with The increase of revolving speed, gradually move right i.e. mobile to the big direction of frequency, have apparent regularity with periodically;Such as figure Shown in 4, its characteristic peak frequency is 285Hz when revolving speed is 10.4rpm, by the frequency bring into formula (5) calculate revolving speed be 9.6rpm, 7.69% is differed with 10.4rpm, less than 8%, the linear relationship can be better meet;As shown in figure 5, when revolving speed is 13rpm Its characteristic peak frequency is 340Hz, by the frequency bring into formula (5) calculate revolving speed is 12.5rpm, differ 3.84% with 13rpm, it is small In 8%, the linear relationship can be equally better meet;
But when bearing is there are when failure, interference caused by failure can break regularity and the period of the original vibration of bearing Property, cause the generation of its rumble spectrum obviously to change, therefore the fault spectrum feature of bearing can be summarized are as follows: (1) characteristic peak Position is unstable;(2) it characteristic peak frequency and its corresponding revolving speed and is unsatisfactory for formula (5), so passing through the rumble spectrum of observation bearing With the presence or absence of the above spectrum signature, i.e., diagnosable bearing whether there is failure.
Step 7: faulty bearings are changed and repeat step 2 to five;
Step 8: when faulty bearings start turning, due to when the failure of faulty bearings, which can break bearing, to be rotated originally Periodically with regularity vibrate, drift about so as to cause the rumble spectrum characteristic peak of faulty bearings, at this time its characteristic peak with turn Speed no longer meets the linear relationship in formula (5);
As shown in fig. 7, there is position in the rumble spectrum characteristic peak of faulty bearings when DC speed-reducing revolving speed is 10.4rpm It sets and unstable, compared with the rumble spectrum of bearing lossless under same rotating speed, the characteristic peak position of lossless bearing is 285Hz, but the characteristic peak in the rumble spectrum of faulty bearings at the position 285Hz is suppressed sometimes, and sometimes in 250Hz With occur new characteristic peak at 370Hz;
As shown in figure 8, the characteristic peak position of corresponding lossless bearing is 340Hz when motor speed is 13rpm, But the characteristic peak in the rumble spectrum of faulty bearings at the position 340Hz is similarly suppressed sometimes, and is existed sometimes Occurs new characteristic peak at 300Hz and 420Hz;Due to rumble spectrum characteristic peak appearance position and unstable, can determine whether above The rumble spectrum characteristic peak of two groups of revolving speeds drifts about, and meets the spectrum signature of faulty bearings;
Emerging characteristic peak 250Hz and 370Hz is brought into formula (5) by calculating to obtain revolving speed when by revolving speed being 10.4rpm Respectively 7.8rpm and 14.1rpm differs up to 25% and 35.57% with 10.4rpm;It is the stylish appearance of 13rpm by revolving speed Characteristic peak 300Hz and 420Hz bring into formula (5), calculate revolving speed is respectively 10.4rpm, 16.8rpm, differed with 13rpm Up to 20% and 29.23%;Thus it can determine whether the corresponding revolving speed of rumble spectrum characteristic peak of above two groups of revolving speeds and be unsatisfactory for Linear relationship in formula (6), meets the spectrum signature of faulty bearings;
In conclusion equipment data acquisition analyzing is by judging that the position at bear vibration spectrum signature peak is unstable and special Sign peak frequency and its corresponding revolving speed are simultaneously unsatisfactory for formula (5) and can determine whether the bearing there are failures.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks Domain is included within the scope of the present invention.

Claims (8)

1. a kind of bearing fault detection device, which is characterized in that including workbench, DC speed-reducing device, bearing block, laser Self-mixed interference device, equipment data acquisition analyzing and computer, the DC speed-reducing device, the bearing block and institute It states laser self-mixing interference device to be respectively provided on the workbench, bearing to be detected is installed on the bearing block, it is described DC speed-reducing device is connect with the bearing, and the side of the bearing block is arranged in the laser self-mixing interference device, The laser self-mixing interference device is connect with the equipment data acquisition analyzing, the equipment data acquisition analyzing and the electricity Brain connection.
2. bearing fault detection device according to claim 1, which is characterized in that the laser self-mixing interference device packet Laser is included, the light source of the laser is semiconductor laser diode, and the enclosed inside of the semiconductor laser diode has Photoelectric detector PD and laser diode LD.
3. bearing fault detection device according to claim 2, which is characterized in that the light beam irradiation that the laser projects In the side of the bearing block radially.
4. bearing fault detection device according to claim 3, which is characterized in that the DC speed-reducing device includes DC speed-reducing and electric machine speed regulation driver, the electric machine speed regulation driver is connect with the DC speed-reducing, described DC speed-reducing is connect with the bearing.
5. bearing fault detection device according to claim 4, which is characterized in that the bearing passes through connecting shaft and shaft coupling The output axis connection of device and the DC speed-reducing.
6. bearing fault detection device according to claim 1, which is characterized in that be provided with branch below the bearing block Stake pad, the workbench are optical platform.
7. a kind of Bearing Fault Detection Method of bearing fault detection device according to claim 3, which is characterized in that packet Include following steps:
S1: bearing is fixed in bearing block;
S2: laser self-mixing interference device is adjusted, is obtained from mixed signal;
S3: opening DC speed-reducing, and bearing is rotated with the rotation of motor;
S4: measuring the vibration of bearing using laser self-mixing interference device, and the vibration information of bearing passes through two pole of photoelectricity Pipe PD is converted into electric signal;
S5: equipment data acquisition analyzing obtains believing from mixing for bear vibration by the electric signal on acquisition photodiode PD Number, recycle fft analysis that should obtain the characteristic peak of bear vibration frequency spectrum from mixed signal frequency spectrum;
S6: equipment data acquisition analyzing pass through judge bear vibration frequency spectrum characteristic peak appearance position whether with the linear pass of revolving speed It is and whether it has stability under fixed rotating speed, so that directly going out bearing by bear vibration spectrum diagnosing whether there is Failure.
8. Bearing Fault Detection Method according to claim 7, which is characterized in that in step s 4, laser is dry from mixing It relates to the laser in device and issues beam of laser direct irradiation in bearing block side, part light return laser light after bearing block reflects It in device inner cavity, and is coupled with the initial light in built in laser cavity, forms optical feedback effect, which leads to the defeated of laser Light power changes, and vibrates since bearing block is the vibration with bearing, i.e. the feedback light vibration that includes bearing The optical signal of mixing certainly for containing bear vibration is converted into electric signal by photodiode PD by information.
CN201910753928.XA 2019-08-15 2019-08-15 A kind of bearing fault detection device and detection method Pending CN110346144A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910753928.XA CN110346144A (en) 2019-08-15 2019-08-15 A kind of bearing fault detection device and detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910753928.XA CN110346144A (en) 2019-08-15 2019-08-15 A kind of bearing fault detection device and detection method

Publications (1)

Publication Number Publication Date
CN110346144A true CN110346144A (en) 2019-10-18

Family

ID=68185066

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910753928.XA Pending CN110346144A (en) 2019-08-15 2019-08-15 A kind of bearing fault detection device and detection method

Country Status (1)

Country Link
CN (1) CN110346144A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110954828A (en) * 2019-12-20 2020-04-03 岭南师范学院 Motor bearing current damage simulation device capable of achieving bidirectional electric loading
CN112697434A (en) * 2021-01-19 2021-04-23 深圳市玄羽科技有限公司 Bearing fault detection method and system for intelligent spindle

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102721461A (en) * 2012-06-25 2012-10-10 哈尔滨工业大学 Detection device and detection method for semiconductor laser self-mixing infrasound
CN205067090U (en) * 2015-11-11 2016-03-02 内蒙古科技大学 Antifriction bearing fault detection and diagnostic system
CN105865789A (en) * 2016-04-28 2016-08-17 广西华银铝业有限公司 Detection system for bearing fault of decomposer gear reducer
CN106596105A (en) * 2016-12-23 2017-04-26 四川中烟工业有限责任公司 Method, apparatus and system for diagnosing bearing faults
CN108731942A (en) * 2018-08-03 2018-11-02 中国建筑第八工程局有限公司 Rotating machinery fault monitors system and its monitoring method
CN108775954A (en) * 2018-06-06 2018-11-09 岭南师范学院 A kind of adjustable dual wavelength LD of resolution ratio is from mixing vibration measuring instrument and its measurement method
CN210533710U (en) * 2019-08-15 2020-05-15 岭南师范学院 Bearing fault detection device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102721461A (en) * 2012-06-25 2012-10-10 哈尔滨工业大学 Detection device and detection method for semiconductor laser self-mixing infrasound
CN205067090U (en) * 2015-11-11 2016-03-02 内蒙古科技大学 Antifriction bearing fault detection and diagnostic system
CN105865789A (en) * 2016-04-28 2016-08-17 广西华银铝业有限公司 Detection system for bearing fault of decomposer gear reducer
CN106596105A (en) * 2016-12-23 2017-04-26 四川中烟工业有限责任公司 Method, apparatus and system for diagnosing bearing faults
CN108775954A (en) * 2018-06-06 2018-11-09 岭南师范学院 A kind of adjustable dual wavelength LD of resolution ratio is from mixing vibration measuring instrument and its measurement method
CN108731942A (en) * 2018-08-03 2018-11-02 中国建筑第八工程局有限公司 Rotating machinery fault monitors system and its monitoring method
CN210533710U (en) * 2019-08-15 2020-05-15 岭南师范学院 Bearing fault detection device

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘保安, 王选: "电机振动分析及微机识别和监测", 大电机技术, no. 01, 29 January 1988 (1988-01-29) *
王天品;孔德同;刘庆超;: "风力发电机转速对齿轮箱振动的影响规律研究", 华电技术, no. 12, 25 December 2016 (2016-12-25) *
陈芳华;章有良;严思思;张根源;: "滚动轴承振动测量方法新国标解析", 轴承, no. 03, 5 March 2011 (2011-03-05) *
韩加明: ""激光自混合干涉传感器在齿轮箱故障诊断中的应用"", 《中国优秀硕士学位论文全文数据库 工程科技II辑》, pages 20 - 49 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110954828A (en) * 2019-12-20 2020-04-03 岭南师范学院 Motor bearing current damage simulation device capable of achieving bidirectional electric loading
CN112697434A (en) * 2021-01-19 2021-04-23 深圳市玄羽科技有限公司 Bearing fault detection method and system for intelligent spindle

Similar Documents

Publication Publication Date Title
CN203231962U (en) End twist friction and abrasion tester for dynamically observing friction interface in real time
CN109655106A (en) One kind being used for running device Ankang real-time monitoring system
CN110346144A (en) A kind of bearing fault detection device and detection method
CN102095573A (en) State monitoring and diagnosis alarm method for mechanical component of satellite borne rotary equipment
Cristalli et al. Mechanical fault detection of electric motors by laser vibrometer and accelerometer measurements
CN102410834B (en) Dynamic monitoring system device for tailing dam body by three-dimensional laser scanning
CN101776508A (en) Optical-mechanical-electrical multi-parameter accurate monitoring device of rotating machine
CN109883703A (en) It is a kind of to be concerned with the fan bearing health monitoring diagnostic method of cepstral analysis based on vibration signal
CN104819841A (en) Built-in-coding-information-based single sensing flexible angle-domain averaging method
CN109443758A (en) A kind of compound diagnostic device of rotating machinery
CN102928224A (en) Method for detecting bearing fault of wind generating set
CN109799091A (en) A kind of measurement method for cylinder roller bearing roller tilted upward swing state
CN111307487A (en) Rotating mechanical vibration measurement method based on micro-motion amplification
CN108021064A (en) A kind of power-equipment health status inline diagnosis method
CN103760377B (en) A kind of measurement apparatus of wheeled robot movable motor rotating speed
CN102323057B (en) Multispindle synchronization error detection apparatus and detection method thereof
CN108917912A (en) The detection system of driver mechanical resonant
CN110633686B (en) Equipment rotating speed identification method based on vibration signal data driving
CN101769785A (en) Vibration state spot check method for water injection machines and detection device
CN210533710U (en) Bearing fault detection device
CN107490430B (en) A kind of coal mining machine roller radial direction and the synchronous monitoring device and method of axial vibration
CN103090810A (en) Cylinder liner deformation photoelectric testing system
Gwashavanhu et al. Shape principal component analysis as a targetless photogrammetric technique for condition monitoring of rotating machines
CN113044723A (en) State monitoring, analyzing and fault diagnosing integrated system for hoisting machinery
CN210243831U (en) Strapdown inertial navigation active vibration suppression laser radar

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