CN109323862A - Paper machine bearing condition monitoring mechanism and its state monitoring method - Google Patents
Paper machine bearing condition monitoring mechanism and its state monitoring method Download PDFInfo
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- CN109323862A CN109323862A CN201811340651.XA CN201811340651A CN109323862A CN 109323862 A CN109323862 A CN 109323862A CN 201811340651 A CN201811340651 A CN 201811340651A CN 109323862 A CN109323862 A CN 109323862A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000007246 mechanism Effects 0.000 title claims abstract description 10
- 238000005096 rolling process Methods 0.000 claims description 14
- 238000001228 spectrum Methods 0.000 claims description 5
- 229910000831 Steel Inorganic materials 0.000 claims description 3
- 239000010959 steel Substances 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims 2
- 230000003321 amplification Effects 0.000 claims 1
- 238000003199 nucleic acid amplification method Methods 0.000 claims 1
- 230000015572 biosynthetic process Effects 0.000 abstract description 4
- 238000003786 synthesis reaction Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 8
- 230000007547 defect Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000010183 spectrum analysis Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000001314 paroxysmal effect Effects 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
Classifications
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- 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
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- General Physics & Mathematics (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses paper machine bearing condition monitoring mechanism and its state monitoring methods, including bearing block, bearing is equipped in bearing block, the end of roller is set in above-mentioned bearing, the both ends of roller are equipped with a bearing block with bearing, support and rotation for roller, sensor is installed at bearing block, sensor is arranged in the synthesis stress area of bearing block, the comprehensive stress area is the center of circle in the symmetrical center line of roller vertically downward into 60 degree that two sides are respectively unfolded of region, may be provided on the end face of bearing block or is mounted on inside bearing block.After vibrating sensor is installed in the upper synthesis stress area of bearing block, monitoring and the fault pre-alarming of early stage can be carried out to the working condition of each bearing under equipment running status.
Description
Technical field
The present invention relates to the technical fields of paper making equipment, in particular for the paper machine bearing condition monitoring mechanism of paper machine
And its state monitoring method, in particular to the mechanical structure of device.
Background technique
Papermaking machine equipment central roll class is main composition part, and every roller both ends are all equipped with bearing and carry out support rotating.Because
Bearing is vulnerable part, and each bearing has corresponding service life, paper mill can according to the inspection situation to equipment to equipment into
Regular maintenance shut-downs go to guarantee the normal operation of equipment, and if the paroxysmal damage of bearing causes the improper of equipment to be stopped
Machine will bring very big loss to production.
In equipment running process, every roller is all high-speed rotating, we can only be by periodically monitoring under normal conditions
The noise of bearing judges the operating condition of bearing.But this method has a significant limitation, many roller operating conditions can not be
Equipment is detected during running.It is unpredictable to will lead to the bearing damage time in this way, increases equipment by hang-up
Number, to production bring loss.
Summary of the invention
The purpose of the present invention is to provide paper machine bearing condition monitoring mechanisms, and vibrating sensing is being installed on bearing block
Monitoring and the fault pre-alarming that can carry out early stage after device to the working condition of each bearing under equipment running status, solve
Problems of the prior art.
To achieve the goals above, the technical solution of the present invention is as follows: paper machine bearing condition monitoring mechanism, including bearing
Seat, bearing block is interior to be equipped with bearing, and the end of roller is set in above-mentioned bearing, and the both ends of roller are equipped with a bearing with bearing
Seat, for the support and rotation of roller, is equipped with sensor, the synthesis stress area of bearing block is arranged in sensor at bearing block
Interior, the comprehensive stress area is 60 degree of the region that the center of circle in the symmetrical center line of roller vertically downward is respectively unfolded to two sides
It is interior, it may be provided on the end face of bearing block or be mounted on inside bearing block.
Paper machine bearing condition monitoring method, the monitoring method include: S1, sample to the data of sensor, adopt
The vibration frequency of bearing when sample includes roller turn；S2, for rolling bearing fault spectrum analysis being wrapped in vibration signal
The various frequency contents contained parse respectively, and the passband amplitude (characteristic frequency amplitude) of vibration is amplified with the development of failure,
According to the state of supervision equipment；
The fault characteristic frequency of rolling bearing:
1. outer ring failure-frequency
2. inner ring failure-frequency
3. ball failure-frequency
D in formula: pitch diameter, d: diameter of the steel ball, α: contact angle, Z: ball number, n: roller revolving speed, r/min.
The invention discloses a kind of paper machine bearing condition monitoring mechanisms, pacify in the upper synthesis stress area of bearing block
After filling vibrating sensor, the monitoring and failure of early stage can be carried out to the working condition of each bearing under equipment running status
Early warning.
Detailed description of the invention
Fig. 1 is schematic structural view of the invention.
Fig. 2 is bearing fault status diagram of the present invention.
Fig. 3 is typical uneven waveform diagram.
Fig. 4 is uneven spectrogram.
Fig. 5 is rolling bearing failure procedure first stage waveform diagram.
Fig. 6 is rolling bearing failure procedure second stage waveform diagram.
Fig. 7 is rolling bearing failure procedure phase III waveform diagram.
Fig. 8 is rolling bearing failure procedure fourth stage waveform diagram.
Fig. 9 is rolling bearing fault integral spectrum characteristic pattern.
Figure 10 is rolling bearing structure schematic diagram.
Specific embodiment
With reference to the accompanying drawings, the present invention is further described below.
The invention discloses paper machine bearing condition monitoring mechanisms, are different from the prior art and are: including bearing block 1,
Bearing 2 is equipped in bearing block 1, the end of roller 3 is set in above-mentioned bearing 2, and the both ends of roller 3 are equipped with one with bearing 2
Bearing block 1 is equipped with sensor 4 for the support and rotation of roller 3 at bearing block 1, the comprehensive of bearing block 1 is arranged in sensor 4
It closes in stress area 5, the comprehensive stress area 5 is that the center of circle 7 in the symmetrical center line 6 of roller 3 vertically downward is each to two sides
In 60 degree of region of expansion, in this section, the signal of acquisition is best, may be provided on the end face of bearing block 1 or be mounted on bearing
Inside seat 1.
Paper machine bearing condition monitoring method, the monitoring method include: S1, sample to the data of sensor, adopt
The vibration frequency of bearing when sample includes roller turn；S2, for rolling bearing fault spectrum analysis being wrapped in vibration signal
The various frequency contents contained parse respectively, and the passband amplitude (characteristic frequency amplitude) of vibration is amplified with the development of failure,
According to the state of supervision equipment；
The fault characteristic frequency of rolling bearing:
1. outer ring failure-frequency
2. inner ring failure-frequency
3. ball failure-frequency
D in formula: pitch diameter, d: diameter of the steel ball, α: contact angle, Z: ball number, n: roller revolving speed, r/min, such as Figure 10
Shown in, bearing inner race 8, bearing outer ring 9, ball 10.
Every kind of failure has its corresponding characteristic frequency.Such as:
Unbalanced characteristic feature: as shown in Figures 3 and 4, Fig. 3 is that (pattern is similar sinusoidal for typical uneven waveform diagram
Wave), Fig. 4 is uneven spectrogram；
1. radial vibration with higher；
2. amplitude on 1XRPM is with the increase of stabilization of speed, lower in the amplitude of 2XRPM, 3XRPM etc.；
3. pair rotation speed change is very sensitive, amplitude and revolving speed it is square directly proportional.
As shown in the figure, in figure we can see that occupy an leading position greatly very much at 1X frequency peak with other frequencys multiplication, Er Qie
In the increased situation of revolving speed, the frequency width at 1X can be increased considerably, and illustrate that amplitude is very sensitive to rotation speed change at 1X.Thus I
May determine that such waveform, frequency spectrum correspond to rotor imbalance situation.
The process of rolling bearing failure is generally divided into 4 stages:
First stage: as shown in figure 5, the earliest problem of bearing shows that supersonic frequency is abnormal, and noise and temperature
It all acts normally, without discrete fault vibration spike, and it is smaller to vibrate total amount；Second stage: as shown in fig. 6, bearing generates gently
Microdefect, the impact that defect generates evoke the natural frequency vibration of each component of axis.Our axis for being clear that of this stage
Indigenous fault frequency is held, will appear certain sideband to the intrinsic frequency front and back of later period bearing；
Phase III: as shown in fig. 7, with the development of accident defect, more defect spacing frequencies and frequency multiplication start
It is existing, start gradually to increase around the side frequency quantity of spacing frequency, frequency multiplication and intrinsic frequency.
Fourth stage: as shown in figure 8, bearing noise intensity changes, temperature is significantly raised, and power frequency is impacted and obviously increases
Greatly, original discrete, amplitude defect spacing frequency volume power frequency more outstanding can be converted to many random and biggish width of energy
Band high frequency.Bearing life receives extreme influence at this time, will appear damage at any time.
The fault spectrum of rolling bearing is analyzed, various frequency contents included in vibration signal are parsed respectively
Come, the passband amplitude (characteristic frequency amplitude) of vibration is amplified with the development of failure, speculates it according to the state of supervision equipment
State and service life.
Frequency analysis is completed with software on computers, and the result of analysis obtains various frequency spectrums, for diagnosing various events
Barrier, we can calculate acquisition by calculation formula above for the failure-frequency of different size bearing, and be obtained by calculation
Corresponding frequencies range judge which kind of failure-frequency.
In the specific implementation, the sensor 4 is vibrating sensor.It on bearing block after installing vibrating sensor
Monitoring and the fault pre-alarming of early stage can be carried out to the working condition of each bearing under equipment running status, this case is claimed
Be only installation site of the vibrating sensor on bearing block, the sensor data analysis in later period is not the claimed skill of this case
Art point, therefore no longer this is described in detail.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Present invention specific implementation is confined to these above-mentioned explanations.For those of ordinary skill in the art to which the present invention belongs,
Without departing from the inventive concept of the premise, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to the present invention
Protection scope.
Claims (3)
1. paper machine bearing condition monitoring mechanism, it is characterised in that: including bearing block (1), bearing (2) are equipped in bearing block (1),
The end of roller (3) is set in above-mentioned bearing (2), and the both ends of roller (3) are equipped with a bearing block (1) with bearing (2), is used
It is equipped at the support and rotation of roller (3), bearing block (1) sensor (4), sensor (4) is arranged in the comprehensive of bearing block (1)
It closes in stress area (5), the comprehensive stress area (5) is the center of circle in the symmetrical center line (6) of roller (3) vertically downward
(7) into 60 degree that two sides are respectively unfolded of region, it is internal to may be provided on the end face of bearing block (1) or be mounted on bearing block (1).
2. resulting paper machine bearing condition monitoring mechanism according to claim 1, it is characterised in that: the sensor (4) is vibration
Dynamic sensor.
3. paper machine bearing condition monitoring method, it is characterised in that: the monitoring method includes S1, carries out to the data of sensor
Sampling, the vibration frequency of bearing when sampling includes roller turn；S2, the fault spectrum of rolling bearing is analyzed vibration signal
Included in various frequency contents parse respectively, the passband amplitude (characteristic frequency amplitude) of vibration with the development of failure and
Amplification, according to the state of supervision equipment；
The fault characteristic frequency of rolling bearing:
1. outer ring failure-frequency
2. inner ring failure-frequency
3. ball failure-frequency
D in formula: pitch diameter, d: diameter of the steel ball, α: contact angle, Z: ball number, n: roller revolving speed, r/min.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811340651.XA CN109323862A (en) | 2018-11-12 | 2018-11-12 | Paper machine bearing condition monitoring mechanism and its state monitoring method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811340651.XA CN109323862A (en) | 2018-11-12 | 2018-11-12 | Paper machine bearing condition monitoring mechanism and its state monitoring method |
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| CN109323862A true CN109323862A (en) | 2019-02-12 |
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| CN201811340651.XA Pending CN109323862A (en) | 2018-11-12 | 2018-11-12 | Paper machine bearing condition monitoring mechanism and its state monitoring method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112780489A (en) * | 2019-10-17 | 2021-05-11 | 射阳远景能源科技有限公司 | Variable pitch bearing and method for prolonging service life of variable pitch bearing |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN87210114U (en) * | 1987-07-08 | 1988-05-18 | 浙江大学 | Measuring unit for the force received on the bearing |
| CN1289041A (en) * | 2000-10-19 | 2001-03-28 | 浙江大学 | Real-time shafting operation state, stress state and failure detecting unit |
| CN1342890A (en) * | 2000-08-24 | 2002-04-03 | 川崎制铁株式会社 | Vibration testing device of bearing and testing method thereof |
| CN103994889A (en) * | 2014-05-27 | 2014-08-20 | 南京航空航天大学 | Rolling bearing fault detecting platform and method based on electromagnetic prompting |
| CN104275351A (en) * | 2013-07-10 | 2015-01-14 | 上海宝钢工业技术服务有限公司 | Vibration-state on-line monitoring method of high-speed wire rod finishing block |
| KR101482509B1 (en) * | 2013-07-23 | 2015-01-19 | 주식회사 우진 | Diagnosis System and Method of Bearing Defect |
| CN209131974U (en) * | 2018-11-12 | 2019-07-19 | 上海轻良实业有限公司 | Paper machine bearing condition monitoring mechanism |
-
2018
- 2018-11-12 CN CN201811340651.XA patent/CN109323862A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN87210114U (en) * | 1987-07-08 | 1988-05-18 | 浙江大学 | Measuring unit for the force received on the bearing |
| CN1342890A (en) * | 2000-08-24 | 2002-04-03 | 川崎制铁株式会社 | Vibration testing device of bearing and testing method thereof |
| CN1289041A (en) * | 2000-10-19 | 2001-03-28 | 浙江大学 | Real-time shafting operation state, stress state and failure detecting unit |
| CN104275351A (en) * | 2013-07-10 | 2015-01-14 | 上海宝钢工业技术服务有限公司 | Vibration-state on-line monitoring method of high-speed wire rod finishing block |
| KR101482509B1 (en) * | 2013-07-23 | 2015-01-19 | 주식회사 우진 | Diagnosis System and Method of Bearing Defect |
| CN103994889A (en) * | 2014-05-27 | 2014-08-20 | 南京航空航天大学 | Rolling bearing fault detecting platform and method based on electromagnetic prompting |
| CN209131974U (en) * | 2018-11-12 | 2019-07-19 | 上海轻良实业有限公司 | Paper machine bearing condition monitoring mechanism |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112780489A (en) * | 2019-10-17 | 2021-05-11 | 射阳远景能源科技有限公司 | Variable pitch bearing and method for prolonging service life of variable pitch bearing |
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